Some of the tasks you will be involved in include:

• Participating in the daily work of our planning engineers to gain insights into production processes
• Working on lean production topics in the areas of series management and time management
• Developing and implementing measures to increase productivity, including presenting the results
• Supporting the installation of new equipment and technology
• Collaborating with other departments, such as assembly, paint shop, body shop, and axle assembly

To be successful in this role, you should have a strong interest in production and manufacturing processes, as well as excellent communication and teamwork skills.

The internship will last for six months and will provide you with a comprehensive insight into the world of production at Porsche Leipzig.

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Your responsibilities will include:

• Providing strategic advice to top-management of our clients in the areas of product strategy and modularisation
• Leading and managing transformation programs to optimise product and portfolio strategies
• Evaluating and developing portfolio strategies using modern product-mining methods
• Identifying commercial and technical optimisation opportunities in product and variant portfolios
• Designing modular hard- and software architectures based on systems-engineering approaches
• Developing business cases considering total cost of complexity and scale effects to support capital allocation and sourcing decisions
• Active participation in the development of internal methods and knowledge assets, including software-defined products, digital twins, and AI-based engineering approaches
• Supporting project acquisition and acting as a liaison between the cost and value engineering and portfolio management teams

To be successful in this role, you will need to have:

• A successful university degree, preferably in a technical field such as engineering or economics
• At least five years of experience in industry (OEM, Tier-1) and/or consulting, with a clear focus on product management, industrial engineering, production planning, industrialisation, or procurement
• Proven expertise in modular product design, portfolio analysis, and the transfer of insights into actionable measures
• A deep understanding of process-related cost structures along the entire value chain (activity-based costing)
• Strong analytical skills, a structured approach, and the ability to drive topics independently and represent them confidently in client environments
• Excellent communication and moderation skills, including secure interaction with suppliers and other stakeholders
• A strong network in the industry, particularly to support acquisition activities
• Very good proficiency in German and English, as well as high travel readiness within Germany and abroad

We offer a competitive salary and benefits package, including:

• A comprehensive pension scheme
• Flexible working models, including mobile work, flexible working hours, and sabbaticals
• Support for work-life balance, including childcare, holiday programs, parent networks, and a family service
• A wide range of health promotion initiatives, including check-ups, vaccinations, ergonomic advice, digital tools, and comprehensive support from our occupational health management
• Attractive conditions for purchasing and leasing vehicles, including exclusive treasurero leasing for long-term employees and discounts on vehicles from Porsche, Volkswagen, Audi, and Ducati
• A diverse and inclusive work environment
• Opportunities for professional development and growth
• A dynamic and supportive team environment

If you are a motivated and experienced professional looking for a new challenge, please submit your application, including your resume and a cover letter, to [career@porsche-consulting.com](mailto:career@porsche-consulting.com). We look forward to hearing from you!

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You will thrive in a fast-paced environment, embracing evolving tasks and priorities. You will lead the charge in ensuring the safety of Honda Aircraft products by applying systems engineering principles to identify and eliminate hazards, reducing associated risks throughout their lifecycle.

Key responsibilities include:

• Performing system safety analyses, including Functional Hazard Analysis (FHA), Preliminary System Safety Assessments (PSSA), System Safety Assessments (SSA), and Common Cause Analysis (CCA).
• Collaborating with design, reliability, and certification teams to ensure safety requirements are met.
• Participating in design reviews, providing critical safety-related input.
• Utilizing innovative approaches to solve complex and challenging problems.
• Contributing to the continuous improvement of safety processes and tools.
• Taking personal responsibility for your continued professional growth and development, with full support from your manager.

To succeed in this role, you will need:

• A Bachelor's degree in aerospace engineering, Systems Engineering, or a related field.
• 1+ years of experience in system safety engineering, preferably in the aerospace industry.
• Familiarity with safety standards such as ARP4761, ARP4754A, DO-178C, and DO-254.
• Experience with safety analysis tools (e.g., Fault Tree+, CAFTA, or similar).
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

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We are looking for software engineers, hardware engineers, roboticists, and front-end mobile developers who are excited about creating a powerful robotics platform that can be tasked and viewed in real-time through a variety of interfaces.

Key responsibilities include:

• Conceptualizing system architecture for upgrades and enhancements to existing vehicle systems
• Conceptual designs of small drones including sizing, system performance, and initial prototyping
• Layout system design plans and interfaces for new UAV products and platforms
• Working within a team of multidisciplinary engineers and specialists throughout the life of UAV design and integration process
• Managing tactical engineering efforts, interfacing between different engineering and test disciplines
• Drafting and developing test plans for critical subsystems, and supporting vehicle level acceptance testing
• Developing interface controls for partners and customers for hardware, software, and electrical integration of complex and unique payloads with existing and new Anduril UAVs
• Achieving maximum uptime by leading vehicle data analysis efforts to identify performance trends and develop predictive failure models
• Supporting build and benchtop testing of new vehicle systems
• Conducting hands-on UAV testing with occasional travel

Required qualifications include:

• 7-10 years of industry experience, including system architecture
• Familiarity with concepts of systems engineering, mechanical engineering, electrical engineering, software development, and control theory
• Demonstrated experience with conceptual design and vehicle system architecture
• Proven track record of progressing from clean sheet design to functioning hardware
• Hands-on build and prototyping of complex robotic or aircraft systems
• A passion for systems development, integration, and testing
• Knowledge of electronics troubleshooting and ability to use basic test equipment
• Extremely organized and detail-oriented
• Excellent verbal and written communication skills
• A sincere commitment to fostering a positive, inclusive, and collaborative culture
• Ability to travel as required for test planning and execution
• Must be able to obtain and hold a U.S. Top Secret security clearance

Preferred qualifications include:

• Experience developing electromechanical system models to inform the design, operation, and troubleshooting of complex subsystems
• Hands-on manufacturing and/or flight testing experience
• Experience in design engineering
• Experience in software engineering
• Understanding of aerodynamics, avionics, and flight systems

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We're seeking a Staff Collaboration Systems Engineer to join our IT Collaboration and Productivity Engineering team. As a Staff Collaboration Systems Engineer, you will be the technical lead for our Google Workspace environment and a key owner for other collaboration platforms.

Your responsibilities will include owning the Google Workspace platform end-to-end, designing and evolving the collaboration architecture, leading incident response and complex troubleshooting for high-impact Workspace issues, building automation and integrations using scripting and Google Workspace APIs/SDKs, integrating Google Workspace with identity, security, and IT workflows, and using AI as a force multiplier for your work.

You will also lead cross-functional projects such as Workspace migrations, domain consolidations, tool rationalization, and new collaboration patterns, mentor and uplevel other engineers, and represent the team with stakeholders across the company.

Requirements:

• 8+ years of experience in IT systems or collaboration/platform engineering, including significant hands-on ownership of Google Workspace in a medium-to-large environment.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
• Deep Google Workspace experience running large or complex environments (ideally multi-domain or multi-org), across Gmail, Calendar, Drive/Shared Drives, Groups, Chat/Spaces, and Meet.
• Strong systems design and troubleshooting skills, including debugging issues that span clients, network, identity, and backend services.
• Solid scripting and automation skills (e.g., Google Apps Script, GAM, Python), and experience using Google Workspace APIs/SDKs to automate lifecycle, configuration, and reporting.
• Experience implementing and operating security, privacy, and compliance controls such as DLP, retention/legal hold, e-discovery, external sharing policies, SPF/DKIM/DMARC, and access reviews.
• Experience integrating Google Workspace with identity (SSO/SCIM), MDM/endpoint tools, logging/observability, and ticketing/ITSM systems.
• Proven use of AI tools to speed up engineering or operations work (e.g., generating code, runbooks, or summaries), with a clear approach to validating outputs, reducing bias, and protecting reliability and security.
• Track record of operating at a staff-level scope: leading large, complex initiatives, shaping cross-team roadmaps, and owning impactful outcomes.
• Ability to lead and mentor other engineers, give clear technical direction, and partner effectively with managers, product owners, and stakeholders.

In-Office Requirement Statement:

We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country, with a preference for candidates based on the West Coast.

Relocation Statement:

This position is not eligible for relocation assistance.

Visit our PinFlex page to learn more about our working model.

#LI-REMOTE #LI-JD3

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This is an impactful role where you will take ownership of defining critical maintenance plans, shaping technical data packages, optimizing sparing, and ensuring seamless lifecycle management. Your expertise will be vital in translating engineering innovation into reliable, supportable systems for our warfighters, directly enabling Anduril’s mission to transform defense technology.

Responsibilities:

• Develop and maintain comprehensive, ground-up sustainment plans for the specific product(s) you support
• Partner with customers, operations teams, and cross-functional engineering teams to define, implement, and continuously improve effective maintenance and repair strategies
• Ensure the availability of up-to-date maintenance procedures, specialized tools, and accurate technical manuals to support field sustainment operations
• Serve as the primary point of contact for all sustainment-related matters within your assigned product team, proactively identifying and resolving issues
• Collaborate with design and manufacturing engineering teams during new product development phases to integrate best sustainment practices and design-for-supportability concepts early in the process
• Create and maintain a Service Bill of Materials (SBOM) and other critical sustainment artifacts (e.g., provisioning lists, support equipment lists), ensuring they establish a central, up-to-date repository for all sustainment data

Required Qualifications:

• Demonstrated detailed and extensive technical expertise in applying mechanical or systems engineering principles to complex hardware systems
• Hands-on proficiency with professional CAD software and Product Lifecycle Management (PLM) tools for managing engineering data, changes, and configurations
• Foundational understanding and practical application of Integrated Product Support (IPS) elements, principles, and concepts (e.g., maintenance planning, supply support, technical data management, support equipment, training, facilities)
• 5+ years of experience in product support, sustainment engineering, or systems engineering roles within a high-rigor environment (e.g., defense, aerospace, advanced robotics, complex industrial systems)
• Familiarity with military standards, specifications, and regulatory compliance relevant to product support and sustainment activities
• Proven ability to work effectively in dynamic, unstructured environments, adapt to rapidly changing priorities, and quickly learn and master new technologies and complex systems
• Excellent written and verbal communication skills, with a demonstrated ability to synthesize complex technical and quantitative data into clear, concise decision statements and actionable recommendations for diverse audiences (engineers, operators, customers)

Preferred Qualifications:

• Bachelor's degree in Engineering (Mechanical, Manufacturing, Aerospace, or related field)
• Direct experience with sustainment methodologies such as Maintenance Task Analysis (MTA), Level of Repair Analysis (LORA), Reliability Centered Maintenance (RCM), or developing Contractor Logistics Support (CLS) plans
• Proven track record of developing and delivering key customer-facing sustainment artifacts and contractual deliverables
• Prior hands-on experience with specific enterprise tools such as Siemens NX, Teamcenter (PLM), JIRA, or Oracle (ERP) or equivalent systems
• Direct experience with complex military systems, robotics, unmanned systems, or advanced defense technology products
• Understanding of the use of the Technical Data Package (drawings, parts lists, interface control documents, and electrical schematics)
• Eligible to obtain and maintain an active U.S. Secret security clearance
• Willingness and ability to travel for on-site support, field deployments, and direct customer engagements as required

Additional Benefits:

• Highly competitive equity grants are included in the majority of full-time offers
• Top-tier benefits for full-time employees, including healthcare benefits, income protection, generous time off, caregiver & wellness leave, family planning & parenting support, mental health resources, professional development, commuter benefits, relocation assistance, retirement savings plan, and more

Salary Range: $129,000-$193,000 USD

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This is a senior software engineering role that covers the design and implementation of new features, enhancements to existing features, and resolving bugs.

Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable, and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.

Responsibilities

• You'll be a full-time Elasticsearch contributor, building data-intensive new features and fixing intriguing bugs, all while making the code easier to understand. You are able to research what available data structures and algorithms work best to implement a new functionality or enhancement. Sometimes you'll need to implement a data structure or algorithm in the code base. And there will be times when you'll need to get close to the operating system and hardware.
• You'll work with a globally distributed team of experienced engineers focused on the search and query (ES|QL) analytics capabilities of Elasticsearch. You'll get to work with the teams that build the UI to ensure a good user experience, and you'll get to work with the teams building solutions on top of these APIs
• You'll be an expert in several areas of Elasticsearch, and everyone will turn to you when they have a question about them. You'll improve those areas based on your questions and your instincts.
• You'll work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts, and sometimes handling them yourself.
• You'll write idiomatic modern Java -- Elasticsearch is 99.8% Java!

Requirements

• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer features like lambdas.
• You have experience with software systems engineering
• You have a strong desire to optimize and make use of the most efficient data structures and algorithms.
• You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.
• You're comfortable developing collaboratively. Giving and receiving feedback on code, approaches, and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.
• You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
• You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus Points

• You've built things with Elasticsearch before.
• You’ve worked in the search and information retrieval space. You’re familiar with the data structures and algorithms associated with information retrieval.
• You’ve worked on data storage technology or have experience building data analytics capabilities.
• You have experience designing, leading and owning cross-functional initiatives.
• You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration

Compensation

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is:$133,100-$210,600 USDThe typical starting salary range for this role in the select locations listed above is:$159,900-$252,900 USD

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This role requires a strong automation mindset, deep technical breadth across IT systems, and the ability to deliver high-quality, scalable solutions in a fast-paced environment.

The impact you will have includes:

• Owning and evolving our IT automation platform, serving as the subject matter expert and driving design, implementation, and improvement of automation workflows across IT and Security.
• Leading and maintaining the Mobile Security program, MDM configuration, and policy enforcement.
• Designing and delivering end-to-end automation solutions across onboarding/offboarding and security compliance workflows.
• Partnering with cross-functional stakeholders across IAM, Security, Infrastructure, and Engineering to deliver impactful projects with real business outcomes.
• Supporting M&A technical integrations by applying your automation skills to accelerate onboarding.
• Documenting solutions, training, and mentoring junior engineers of the platforms you own.

Core qualifications include:

• 5+ years of experience in IT systems engineering and automation.
• Proven track record of delivering complex, multi-system automation projects with measurable business impact.
• Strong automation mindset: you don't just execute tasks, you architect scalable automated solutions.
• Ability to operate with minimal guidance, take ownership of ambiguous projects, and deliver consistently high-quality work under pressure.

Automation & Integration Expertise includes hands-on experience with enterprise IT automation platforms (Tines preferred), or equivalent, and experience building and troubleshooting integrations between identity, endpoint, ticketing, and security platforms.

Endpoint & Mobile Device Management includes expertise with Jamf MDM platforms for managing macOS, iOS, Windows, and Android devices at scale, and experience with zero-touch provisioning, device imaging, configuration management, and security policy enforcement.

Identity & Access Management includes working knowledge of IAM platforms (Okta preferred), including SSO, SCIM provisioning, group rules, and access lifecycle management.

Collaboration & Communication includes strong cross-functional collaboration skills, comfortable working with Security, Engineering, Infrastructure, and business stakeholders, and effective at coaching and training peers on new tools and processes.

Nice to Have includes certifications in relevant platforms (e.g., Jamf, Tines, Okta, Google Workspace).

Pay Range Transparency: Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $143,400-$197,100 USD

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You are a Systems Engineer at heart, but you are ready to apply LLMs, RAG, and predictive modeling to solve infrastructure challenges at scale.

Our Team's Stack:

• Languages: Python, Go, bash/sh
• Observability: Prometheus, Victoria Metrics, Grafana
• OS & Kernel: Linux Kernel (custom build), Ubuntu
• Hardware: Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
• Containerization: Docker, Kubernetes (k8s), KubeVirt, containerd, kubelet

Responsibilities:

• Pipeline Architecture: Design, maintain, and automate reproducible OS image build pipelines for our massive fleet of GPU-accelerated servers.
• Kernel Distribution: Collaborate with kernel engineers to package, validate, and distribute custom Linux builds across Intel, AMD, and ARM architectures.
• Dependency Management: Build tooling to manage dependencies, versioning, and release workflows, ensuring hermetic builds.
• Telemetry & Metrics: Standardize the collection of build metrics to create a baseline for future AI modeling.
• 'Smart' CI/CD & Auto-Remediation: Architect AI agents that ingest and analyze build logs in real-time. Develop systems that auto-triage errors, categorize failure patterns, and generate context-aware fix suggestions for engineering teams.
• Predictive Regression Modeling: Design ML workflows that utilize historical performance data to detect kernel and OS regressions (latency, throughput, stability) in staging environments before they impact production.
• Dynamic Kernel Tuning: Implement closed-loop feedback systems that analyze real-time system metrics and automatically suggest or apply sysctl parameter optimizations for specific customer workloads.
• Next-Gen ChatOps: Engineer LLM-driven interfaces for Slack/internal tools, enabling stakeholders to query build statuses, request log summaries, or provision resources using natural language commands.

Requirements:

• 4+ years of professional experience in Linux Systems Engineering, Release Engineering, or DevOps.
• Deep knowledge of Linux internals (boot process, kernel modules, networking stack).
• Experience with package management (Debian/Ubuntu) and build systems.
• Strong proficiency in Python (essential for the AI integration aspects of this role).
• Demonstrable experience integrating API-based AI models (OpenAI, Anthropic, or local open-source models) into software workflows.
• Understanding of RAG (Retrieval-Augmented Generation) architectures for querying technical documentation or logs.
• Experience building event-driven automation (e.g., using webhooks to trigger analysis agents).
• Familiarity with data structures required for vector search or time-series analysis.

Nice-to-haves:

• Experience with Kubeflow or MLFlow.
• Background in High-Performance Computing (HPC).
• Experience fine-tuning small language models (SLMs) for code or log analysis tasks.

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Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.

We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time.

Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.

Visit dialpad.com to learn more.

Being a Dialer

At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.

We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your role

Dialpad’s Product Engineering organization is responsible for building and maintaining the customer-facing features at scale across all of our cloud-native products and services.

Every day, millions of users across the world leverage our technology for communicating effectively and efficiently.

Every engineer on our global engineering team is given the opportunity to take ownership of a large portion of the product where they’re able to see immediate results.

Combining natural language processing and artificial intelligence with world-class cloud computing, the things you’ll create at Dialpad will shape the future of work,enabling companies to work from anywhere and making business communication more human.

Dialpad’s Analytics team owns data pipelines, multiple databases, a modular query layer, and rich FE components to deliver intuitive and powerful end-user-facing analytics experiences that allow Dialpad customers to make data-driven business decisions.

Our teams are highly collaborative and comprise cross-disciplinary professionals, including Product Managers, Designers, QA specialists, as well as Engineers specialising in Data Engineering, Data Science, and Telephony.

This position reports to the Engineering Manager, who is based in Bengaluru, and the role will be based in our Bengaluru, India Office.

The position will require a hybrid working arrangement based out of our Bengaluru office.

What you’ll do

• Contribute to the design, development, and maintenance of information retrieval and distributed systems.

• Build and optimize search engines, including indexers, analyzers, ranking, and re-ranking strategies.

• Work on hybrid search techniques, including dense vector manipulation, rank fusion, and reranking.

• Maintain and enhance highly scalable search platforms with a focus on performance and cost efficiency.

• Ensure high availability, reliability, and fault tolerance in search services.

• Collaborate with cross-functional teams to translate business requirements into technical solutions.

• Develop and optimize real-time distributed systems, microservices, and message-driven architectures.

• Implement and maintain monitoring, alerting, and performance metrics for platform reliability.

• Evaluate and integrate emerging technologies to improve search capabilities.

• Write clean, modular, and well-tested code while following best engineering practices.

• Participate in code reviews to ensure quality, maintainability, and scalability.

• Provide mentorship and technical guidance to junior engineers.

Skills you’ll bring

• 4-7 years of experience in information retrieval or distributed systems engineering.

• Strong understanding of search platforms and experience maintaining search engines at scale.

• Deep knowledge of indexers, analyzers, field mapping, and ranking techniques.

• Experience with NLP/NLU within the context of information retrieval.

• Expertise in dense vector manipulation and optimization.

• Familiarity with hybrid search, rank fusion, and reranking techniques.

• Proficiency in Go and Python 3 (experience with Rust or TypeScript is a plus).

• Strong understanding of distributed systems, microservices, and message-driven architectures.

• Passion for real-time performance optimization and high availability.

• Experience with API design using Swagger, OpenAPI, or equivalent tools.

• Knowledge of gRPC or equivalent RPC protocols.

• Experience with Docker and Kubernetes for containerized deployments.

• Familiarity with cloud platforms (GCP preferred, AWS/Azure optional).

• Hands-on experience with Infrastructure as Code tools like Terraform or Ansible.

• Knowledge of CI/CD frameworks and continuous delivery practices.

Why Join Dialpad

• Work at the center of the AI transformation in business communications

• Build and ship agentic AI products that are redefining how companies operate

• Join a team where AI amplifies every employee’s impact

• Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.

We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.

Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

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Responsibilities:

• Lead Strategic ML/AI Platform Programs: Identify, scope, champion, and deliver high-impact, cross-engineering initiatives critical to advancing Pinterest's ML/AI Platform, GenAI infrastructure, and Agent Platform.
• Operate with an AI-First Execution Mindset: Use GenAI as the default operating model for program execution; producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows, and synthesizing signals to proactively surface risks, tradeoffs, and escalation paths.
• Prototype AI-Augmented Tools & Workflows: Leverage AI coding assistants to build lightweight solutions that improve decision-making and reduce friction, including dashboards, data analysis, process helpers, and internal tooling.
• Apply Safety-by-Design AI Governance: Follow Pinterest's AI guidance for risk, governance, and compliance; appropriately handling sensitive data, validating AI-generated outputs, documenting assumptions and limitations, and ensuring AI-assisted workflows meet applicable policy and safety expectations before broad adoption.
• Drive Complex Technical Decisions Across Teams: Partner closely with technical domain owners across MLP, Agent Platform (Helix), Core Infra, and Ads to proactively identify, frame, and resolve complex cross-team technical decisions.
• Translate Strategy into Execution: Convert strategic platform priorities into structured, milestone-driven execution plans, operating at both breadth (big picture vision) and depth (driving granular details with engineering teams).
• Shape Planning & Influence Roadmaps: Serve as a thought leader to cross-functional stakeholders during annual and quarterly planning cycles, influencing product and platform roadmap decisions with data-informed perspectives and a deep understanding of organizational priorities and technical tradeoffs.
• Build Scalable Processes & Best Practices: Define, institutionalize, and continuously improve program management processes, frameworks, and tooling, elevating organizational execution capability and enabling teams to operate with greater agility, consistency, and efficiency at scale.
• Drive Cross-Functional Alignment & Communication: Build transparent, adaptive communication channels across Engineering, ML Research, Data Science, Product, Security, and Legal, ensuring stakeholders at all levels have timely, accurate visibility into priorities, status, risks, and decisions.
• Own Program Outcomes End-to-End: Take full accountability for the success of high-impact programs, ensuring measurable delivery through rigorous planning, proactive risk mitigation, and relentless follow-through.

Requirements:

• Experienced Technical Program Manager: 8+ years of TPM or related experience, with a Bachelor's degree in Computer Science or equivalent.
• AI-First Execution Mindset: Demonstrated ability to use GenAI to meaningfully accelerate program planning, operations, and stakeholder communication.
• Workflow Design & AI Fluency: Experience turning repeatable program work into durable, low-toil mechanisms, including strong prompting, vibe coding lightweight scripts and tools, building dashboards, and leveraging agents to improve decision-making and operational throughput.
• Safety-by-Design AI Governance: Comfortable operating within AI governance expectations, including risk assessment, sensitive data handling, model output validation, and auditability.
• ML/AI & Systems Domain Knowledge: Working understanding of Machine Learning, GenAI, LLM serving and inference, AI Agent architectures, DevOps, and systems engineering principles.
• Strategic Vision & Entrepreneurial Leadership: Strong ability to analyze organizational context, anticipate future scenarios, and shape program roadmaps aligned to company-level strategy and OKRs.
• Executive Influence & Thought Leadership: Demonstrated success influencing senior and executive leadership, representing program interests at the highest levels, providing well-reasoned input to critical decisions.
• Analytical Problem-Solving & Risk Mitigation: Strong analytical and decision-making skills with a track record of using data, innovative approaches, and structured frameworks to navigate complexity, resolve ambiguity, and mitigate program risks proactively.
• Operational Excellence at Scale: Demonstrated experience creating and driving efficient, scalable processes and best practices that increase organizational agility.
• Exceptional Communication & Collaboration: Outstanding written, verbal, and interpersonal communication skills, able to distill nuanced, technical concepts for diverse audiences.

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As a Senior Compliance Engineer at Anduril Industries, you will be responsible for driving automation, compliance, and security engineering principles into the design, integration, and operation of Anduril's internal systems. This is a technically hands-on role that requires a strong DevSecOps background with deep expertise in cloud infrastructure security, embedded systems security, and federal compliance frameworks.

Key Responsibilities

• Design, develop, and maintain Infrastructure as Code (IaC) and Policy as Code (PaC) that enforce compliance with NIST SP 800-171 and 800-53, CMMC, and other applicable frameworks, enabling developers to deploy CMMC-certified applications using pre-packaged, compliant infrastructure templates.
• Architect, build, and deploy robust, scalable security controls across Anduril's corporate, development, and production cloud environments (AWS, Azure, GCP) and on-premise environments.
• Develop and automate IaC pipelines for managing and scaling cloud deployments securely and efficiently, including automated pipelines for deploying infrastructure, applications, and updates.
• Build automation for procedural compliance controls, generating compliance and audit artifacts at scale without manual intervention.
• Develop security models that integrate Continuous Monitoring (ConMon), DISA STIG scanning, and compliance reporting into a unified, automated workflow.

Compliance Engineering & Framework Implementation

• Analyze, interpret, and operationalize federal and industry cybersecurity regulations, including NIST SP 800-171 and 800-53, CMMC, FedRAMP, and SOC 2, translating regulatory language into actionable engineering guidance and enforceable technical controls.
• Evaluate system architectures and configurations to ensure alignment with required security controls for moderate-impact information systems.
• Interface directly with infrastructure teams to verify and enforce compliance across existing on-premise and cloud stacks, identifying gaps and driving remediation.

Cross-Functional Collaboration & Enablement

• Partner with engineers, the DevSecOps Team, and the Automation Team to implement and verify security controls in both corporate and product software environments.
• Act as a force multiplier by embedding security best practices into the workflows of infrastructure, application, and product teams, particularly for environments holding mission-critical data.

Strategic & Advisory

• Develop strategies and implementation plans for compliance-related matters, advising management on risk posture, regulatory changes, and investment priorities.
• Institute best-practice procedures for compliance and risk mitigation across the organization.

Required Qualifications

• 3+ years of professional experience in Cloud Security, DevSecOps, Site Reliability Engineering (SRE), or a related security engineering role.
• Background in one or more of the following disciplines: Systems Security Engineering, Cybersecurity, Systems Engineering, Software Engineering, Computer Engineering, or Computer Science.
• Proven experience building and securing complex cloud environments at scale.
• 3+ years of hands-on experience working with compliance frameworks such as CMMC, NIST SP 800-171 and/or 800-53, and FedRAMP.

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As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development.

You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve.

In this role, you will:

• Design, build, and maintain integrations connecting ERP systems with downstream applications, including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions.

• Support integration development and testing during the ERP implementation projects.

• Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication.

• Implement real-time and batch integration patterns supporting high-volume financial transactions.

• Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity.

• Document integration architectures, data flows, API specifications, and troubleshooting procedures.

• Collaborate with implementation consulting partners and vendors on technical integration requirements.

Additional scope includes AI automation and data infrastructure, including AI agent development, data pipeline support, governance, and collaboration.

You may be a good fit if you have 8+ years of experience in integration development, data engineering, or systems engineering roles, possess hands-on experience with iPaaS platforms, and have strong programming skills in Python and/or JavaScript/TypeScript.

Strong candidates may also have experience with high-growth technology companies, background in AI/ML companies, and hands-on experience with specific platforms, including Workday Financials, Stripe, Salesforce, Zuora RevPro, Zip Procurement, Clearwater treasury systems, Pigment planning tools, Numeric close management, and programming skills in Python/JavaScript.

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Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance.

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Regularly require you to interpret, analyse, and execute tasks based on given instructions.

Basic Qualifications:

• Must possess a Master's or PhD in Industrial or Systems Engineering, or a highly-related field.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources are essential.
• You display outstanding communication, interpersonal, analytical, and organisational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgement even when presented with limited data/material.
• You have a strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Possess a PhD in Industrial or Systems Engineering.
• Substantial professional experience working on real-world problems in this domain.
• Possess experience with at least one publication in a reputable journal or outlet.
• Has previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• You possess experience in technical writing, journalism, or a professional writing setting.
• Professional background as an industrial or systems engineer.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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As a Project Engineer, you will develop enabling technologies for Maneuver Dominance and Anduril-wide with initial emphasis on host-platform agnostic C4ISR capability including integration-kits for ground and air vehicles. The role requires high ownership and frequent collaboration with other core disciplines. The ideal candidate would be practical, hands-on and a self-starter with experience with command and control systems.

Key Responsibilities:

• Lead an integrated, cross-functional program team of hardware, software, and systems engineers to deliver capability that exceeds customer expectations
• Own the entire lifecycle of technical initiatives, from defining requirements and creating project plans to final deployment and integration on helicopter platforms
• Serve as the primary owner and liaison between technical teams, business stakeholders, and customers
• Partner deeply with engineering leaders to drive program execution, unblock technical challenges, and accelerate cross-team projects
• Deeply understand mission requirements and master technical concepts to identify key dependencies, trade-offs, and risks related to airborne sensor integration and data fusion
• Coordinate and execute frequent test events, from hardware-in-the-loop simulations to live flight demonstrations
• Proactively identify potential technical and operational risks, develop mitigation plans, and drive issues to resolution before they become blockers
• Foster a culture of extreme ownership and a bias toward action within the program team

Requirements:

• B.S. in Electrical, Computer, Aerospace, Mechanical Engineering, or equivalent
• 5+ years of relevant industry experience in engineering, systems integration, or technical program management
• Demonstrated experience executing program management or engineering responsibilities for sophisticated hardware and software systems
• Strong understanding of systems engineering, environmental considerations, and requirements verification and validation, particularly for aerospace or defense applications
• Proven experience delivering complex solutions in highly regulated environments (e.g., DoD)
• Ability to inspire and guide teams, build consensus, and influence without direct authority
• Must be able to obtain and maintain a U.S. Security Clearance

Preferred Qualifications:

• Proven experience leading multi-disciplinary engineering teams to the successful completion
• Direct experience with the integration of C4ISR systems, sensor payloads (e.g., EO/IR, SIGINT), or secure data links onto airborne platforms
• Strong technical aptitude and an ability to understand technical designs, software development lifecycles, challenges, and risks
• Practical familiarity with both Agile and Waterfall methodologies and an ability to apply them where best suited
• Experience with tools like JIRA and Confluence
• Excellent written and verbal communication skills, with the ability to translate complex technical issues into non-technical terms
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

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You will work on a new aircraft development project, bringing pragmatic SEIT thinking to deeply understand local requirements and champion 'Test' as a design tool to drive rapid capability development, ensuring that end-user needs are met in challenging operational environments.

Key Responsibilities:

• Work with customers and end-users to evolve the regional Concept of Operations (CONOPS) the product life cycle, developing inputs to high-level requirements informing key design decisions.

• Deploy right-sized, Agile Systems Engineering governance approaches for rapid capability development efforts - with the right amount of process discipline and artifacts and support System Design Reviews (SDRs).

• Manage System Interfaces and develop integration processes for sovereign Mission System equipment and Payloads, developing test objectives and test plans for execution.

• Work with partner organisations to coordinate a broad range of in-country development activities including bench and environmental testing of individual components, building and operating Hardware In Lab (HIL)/Hardware In The Loop (HITL) integration environments, flight testing of uncrewed and crewed surrogate platforms, and ground and flight test of the Omen System.

• Liaise with partner organisations and local authorities to secure operational approvals (airspace, frequency, physical deconfliction, safety, and appropriate test range facilities).

• Shape, build and utilise Anduril in-country development facilities establishing local capability.

• Plan, coordinate and execute major test and demonstration events, including resourcing, logistics (equipment export/import), conduct Test Readiness Reviews (TRRs), perform as Test Director (TD), and ensure high-impact, timely reporting.

• Conduct safety assessments with a pragmatic understanding of hazards and mitigations - holding the safety of team members above all else.

Requirements:

• Bachelor degree or higher in Aerospace Engineering, Systems Engineering or aviation-related technical discipline.

• 10+ years of experience in Aerospace or product development/test and evaluation environments and aviation safety/quality systems.

• Demonstrable Systems Engineering proficiency, with first-hand understanding of both the benefits and limitations of the approach.

• Experience in all facets of the test process including writing test plans and procedures, conducting risk assessments, mitigating hazards, running test readiness reviews, directing test events, and responding to unplanned occurrences.

• Familiarity engaging with interdisciplinary design teams to evolve test requirements.

• Able to work with stakeholders and partners to find solutions and approach to drive fast test outcomes.

• Exposure to verification and validation testing, qualification, certification, airworthiness and obtaining permission to operate.

• Experience with ground and flight testing crewed or uncrewed developmental aircraft (Group 3 or larger) at the System/Platform level.

• Familiarity with airspace management in the Middle East and other regional regulatory practices desirable.

• Experience working in the Middle East and Arabic Language Proficiency advantageous.

Eligible to obtain and maintain a security clearance in United States, United Kingdom, or Australia.

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We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads.

The role involves designing and implementing distributed storage solutions to support scaling data-intensive AI workloads, contributing to the development of exabyte-scale, S3-compatible object storage, and integrating dedicated storage clusters into diverse customer environments.

Key responsibilities include working with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols like NFS or FUSE to optimise storage performance and efficiency, participating in efforts to improve the reliability, durability, and observability of our storage stack, collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments, and helping develop metrics and dashboards to provide visibility into storage performance and health.

The ideal candidate will have a strong background in storage systems engineering or infrastructure, with experience working with object storage or distributed filesystems in production environments, proficiency in a systems programming language like Go, C, or Rust, and familiarity with storage observability tools and telemetry pipelines.

As a senior software engineer, you will be responsible for designing, developing, and deploying scalable and efficient storage solutions, working closely with cross-functional teams to ensure seamless integration with other components of the platform, and mentoring junior engineers to help them grow in their roles.

If you are passionate about building high-performance storage solutions and have a strong background in software engineering, we encourage you to apply for this exciting opportunity.

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As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

Responsibilities

• Define, establish, and lead the infrastructure integration engineering practice, setting the technical vision and strategy for integrating new entities and technologies.
• Single-threaded ownership of all infrastructure component(s) of acquisition integration from discovery and due diligence through migration execution and hypercare.
• Conduct comprehensive technical assessments of target companies' infrastructure, systems, and operational capabilities, identifying risks and opportunities.
• Develop and present high-level architectural strategies and detailed roadmaps for integrations to executive leadership, founders, and technical teams.
• Design and implement robust, scalable, and secure system architectures for integrated environments, ensuring alignment with Anduril's overall technology strategy.
• Develop and execute detailed migration plans, managing complex technical challenges and dependencies.
• Provide post-migration hypercare support, ensuring a smooth transition and stabilization of integrated systems.
• Define, document, and continuously improve repeatable processes to accelerate acquisition integration, establishing benchmarks, conducting post-mortems, and implementing lessons learned.
• Identify, evaluate, and implement or scope the development of new tools and technologies to enhance discovery, migration, and testing efficiency.
• Collaborate closely with Security teams to ensure all integrated systems meet Anduril's stringent security requirements and policies.
• Partner with Client Engineering teams to ensure seamless integration of acquired client and client-facing technologies and services.
• Provide clear, concise, and opinionated technical guidance, and proactively push back on misaligned proposals to ensure successful technical outcomes.
• Act as a technical authority, mentor, and trusted advisor to engineering teams involved in integration efforts.

Requirements

• Minimum of 12 years of progressive experience in Systems Engineering, Network Engineering, and/or IT Infrastructure roles with a focus on complex, enterprise-scale environments.
• Self-sufficient ability to execute in (technical and non-technical) program management, architecture, and hands-on engineering capacities.
• Demonstrated expertise in defining and building engineering practices and repeatable processes.
• Proven ability to operate across the entire engineering lifecycle, from strategic discovery and architecture to hands-on execution and hypercare.
• Exceptional ability to communicate complex technical concepts to diverse audiences, including C-suite executives, founders, and engineering teams.
• Deep understanding of modern cloud architectures (AWS, Azure, GCP), hybrid cloud solutions, and on-premises infrastructure.
• Extensive experience with enterprise networking technologies, including routing, switching, firewalls, VPNs, and load balancing.
• Strong knowledge of server virtualization, containerization technologies (e.g., Docker, Kubernetes), and operating systems (Linux, Windows).
• Experience with identity and access management (IAM) solutions, single sign-on (SSO), and multi-factor authentication (MFA).
• Proficiency in scripting and automation for infrastructure deployment and management (e.g., Python, Ansible, Terraform).
• Strong understanding of security principles, best practices, and common vulnerabilities within systems and networks.
• Familiarity with client engineering principles and technologies.
• Proven experience in identifying tooling gaps and either developing solutions or effectively scoping them for development.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to travel for remote deployments and assessments as required.

Preferred Qualifications

• Experience with infrastructure-as-code (IaC) principles and tools.
• Familiarity with CI/CD pipelines and DevOps methodologies.
• Experience with data center design and operations.
• Experience in the defense technology or highly regulated industries.

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This role combines collaboration with hand-on work. You’ll partner with tech leads to set the technical direction for your team and own its execution. You should also be ready to go deep on system design and contribute directly when needed.

Responsibilities:

• Lead and grow a team of senior and staff-level engineers, setting clear expectations and maintaining a high bar for execution.

• Own architecture, system design, and long-term technical direction for your team's systems, with emphasis on reliability and performance.

• Contribute directly to design reviews, prototyping, and debugging critical issues.

• Partner with researchers and product teams to define roadmaps and prioritize work.

• Hire and close senior engineering talent. Mentor engineers into technical leaders.

Skills and Qualifications:

• Minimum qualifications:

• Bachelor’s degree or equivalent industry experience in computer science, engineering, or similar.

• 8+ years of experience building and scaling production systems, including system design and distributed systems.

• 3+ years of engineering management experience in high-growth environments.

• Preferred qualifications , we encourage you to apply even if you don’t meet all preferred qualifications, but at least some:

• Experience managing teams of senior or staff-level engineers.

• Background in infrastructure, systems engineering, or developer productivity.

• Familiarity with AI/ML systems, data infrastructure, or high-performance computing.

• Track record of building or contributing to widely used systems, platforms, or tools.

Logistics:

• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $400,000 - $500,000 USD.

• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.

• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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Key responsibilities include:

• Supporting the VP of Quality in evolving priorities and organizational needs, adapting capacity and focus as required
• Enabling Quality team leaders and division members to maximize efficiency and quality output through coaching and resource alignment
• Building internal delivery rhythms, KPIs, and OKRs that drive team alignment, execution fidelity, and risk management
• Leading cross-team initiatives requiring executive sponsorship and accountability, acting as go-to problem solver for ambiguous challenges
• Partnering with Quality Systems Engineering to deploy and track KPIs through scorecards to inform decisions at QBR, MDPR
• Fostering cross-functional relationships, embedding quality and compliance fluency throughout partner functions
• Providing strategic oversight and ensuring product line governance in accordance with DCMA compliance and federal mandates
• Serving as the connective tissue across the organization,coordinating, communicating, and facilitating
• Owning Product Quality Engineering strategy across all new product development by appropriately leveraging the following functions at the appropriate phase gates: Reliability, System Safety, Supplier Quality, and Quality Systems Engineering
• Owning day-to-day factory quality engineering and sustainment; owns Productization/Recovery execution (productionization, stabilization, ramp support)
• Ensuring efforts to embed Quality at the source are executed and implemented by operationalizing findings from Design for Quality, DFM, and FSS risk management methodologies
• Developing and executing mitigation strategies identified through root cause analysis, FMEA, and trend analysis; translating findings into design improvements and process enhancements
• Driving DFMEA and PFMEA activities, coaching teams to proactively identify and mitigate risks before they materialize
• Establishing product validation and verification protocols (DV, PV, reliability testing) aligned with industry best practices
• Driving design review governance, supporting critical phase-gate reviews to ensure quality criteria are satisfied at each milestone
• Partnering with R&D, Engineering, Manufacturing, and Supply Chain to create closed-loop corrective action systems that feed learnings into next-gen designs
• Building and leading a high-performing Product Quality Engineering team with expertise in statistical methods, DOE, MSA, and process capability
• Establishing a center of excellence for statistical analysis, providing tools, templates, mentorship, and governance for data-driven decision-making
• Leading capability maturity assessments for product development processes, implementing improvement roadmaps
• Serving as Quality voice in PDP governance, aligning product strategy, customer expectations, regulatory requirements, and manufacturing capabilities
• Partnering with Supplier Quality to ensure early establishment of supplier quality engagement protocols, co-developing quality agreements and performance metrics
• Driving Voice of the Customer integration into product requirements and quality standards
• Leading production readiness assessments, validating process capability, tooling, training, and quality systems
• Owning product quality scorecards tracking first-pass yield, defect rates, warranty returns, and field reliability
• Facilitating post-launch reviews to capture lessons learned and feed insights into the Product Development playbook

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As a Program Manager within the Infrastructure team at Stripe, you will work across our portfolio of programs within Infrastructure, with a focus on cross-cutting programs for IT and work tracking solutions at Stripe.

You will partner with our Engineering teams to shape and build the future of Corporate Technology at Stripe. This includes both individual and team work in areas such as:

• Automating workflows, creating self-service opportunities or implementing agentic solutions.
• New system implementations (e.g. RFPs, Data Migration)
• Deprecation and consolidation of low-usage SaaS productivity tools
• Mergers & Acquisitions (integrating acquired companies' internal systems with ours)
• Security, Audit, and Compliance programs
• Scaling org processes such as our Program Delivery Lifecycle
• Upleveling how we track Key Results, Program updates, and generally align work across the products at Stripe

Responsibilities:

• Define and produce high quality written proposals, communications and documentation.
• Develop, implement, and iterate on program management techniques, frameworks, and KPIs to achieve goals with well defined success criteria.
• Help influence peers / stakeholders and build consensus while dealing with ambiguity.
• Lead program status reviews and prepare regular stakeholder and executive communications
• Effectively set timelines and manage cross-functional project teams to deadlines through the proactive management of blockers, scope, shifting priorities, and risks
• Interface with a variety of technical and non-technical stakeholders across Stripe
• Propose, refine and implement process improvements and drive efficiencies across Corporate Technology
• Effectively manage change, shift gears comfortably, decide and act without having the total picture, and handle risk and uncertainty

Who You Are:

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements:

• 2+ years of software engineering, systems engineering and/or program management experience.
• Excellent analytical skills; you digest complex information, can distill it and make recommendations and proposals.
• You have a track record of providing program management during all phases of software development from kick-off to launch, demonstrating critical thinking, challenging the norms and thought leadership.
• You have very strong written and verbal communication skills, building strong relationships with stakeholders, teams and senior leaders around the organization.
• You can drive internal and external process improvements across multiple teams and functions and bring a wealth of experience, opinions, proposals and best practices.
• Experience operating autonomously and rapidly and leading large-scale efforts across multiple teams and functions, with stakeholders in different disciplines across time zones.

Preferred Qualifications:

• You are comfortable working with geographically distributed teams
• You are empathetic to customer needs but visionary enough to not just deliver a faster horse
• You are excited about collaborating with teammates across Stripe's organization

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You will be instrumental in translating strategic Concepts of Operations (CONOPS) into actionable electrical requirements and architecture that will guide the entire product development lifecycle.

Key responsibilities include:

• Leading the definition and development of robust, scalable, and maintainable electrical architectures for complex product lines.
• Conducting architectural trades, balancing performance, manufacturing feasibility, and future scalability.
• Bridging the gap between traditional Systems Engineering and Electrical Engineering by translating high-level CONOPS into detailed electrical requirements and functional modules.
• Allocating functions to specific electrical modules and subsystems, defining constraints, interfaces, and communications protocols.
• Flowing module and subsystem information to PCB design and harnessing teams to guide designs in line with the overarching electrical architecture.

Required qualifications include:

• Proven ability to think strategically and define the long-term architectural vision for a product line.
• Deep understanding of various communication protocols (e.g., Ethernet, CAN, RS-485, SDI, GMSL, SPI, I2C, PCIe) and their application in complex embedded systems.
• Familiarity with embedded systems hardware, including MCUs, CPUs, and FPGAs, and their architectural implications.
• Experience with full-cycle PCB design.
• Experience with harnessing design and connector selection.
• Successful track record of releasing products to production and delivering to end-users at scale.
• Excellent communication, collaboration, and influencing skills to work across diverse engineering disciplines.
• Ability to obtain or have active DoD Top Secret Clearance with the ability to obtain SCI access.

Desired qualifications include:

• Experience with MIL-STD compliance.
• Utilize and bridge requirements management tools (e.g., DOORS) and Model-Based Systems Engineering (MBSE) tools (e.g., Cameo Systems Modeler) to ensure traceability and coherence from system-level to electrical requirements.

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This position requires a blend of systems engineering expertise, hands-on technical proficiency, and a deep understanding of complex test environments. You will be responsible for defining the architectural roadmap, integrating cutting-edge sensors, data acquisition systems, and telemetry solutions, and ensuring the robust operation of our mission-critical test assets.

Responsibilities

• Architectural Design & Development:
• Lead the architectural design, development, and evolution of comprehensive instrumentation systems and associated range infrastructure for complex test and evaluation systems.
• Define system requirements, specifications, and interface control documents (ICDs) for new and upgraded range capabilities.
• Develop long-term architectural roadmaps, technology insertion plans, and strategic upgrades to maintain state-of-the-art range capabilities.
• Instrumentation Systems Engineering:
• Select, integrate, and validate various instrumentation technologies including, but not limited to: telemetry (RF/Optical), radar, optics (high-speed cameras, IR, EO), GPS/PNT, environmental sensors, and acoustic arrays.
• Design and implement robust data acquisition (DAQ), processing, storage, and analysis pipelines to support real-time and post-test data needs.
• Develop and manage calibration procedures and ensure accuracy and traceability of all instrumentation.
• Range Infrastructure Development:
• Design and oversee the implementation of critical range infrastructure components, such as fiber optic networks, RF distribution systems, power distribution, communication systems, timing and synchronization, and environmental controls for instrumentation shelters.
• Perform RF Survey analysis to ensure noise floor is within desired tolerance ranges for various test sites and environments.
• Ensure network connectivity, cybersecurity, and data security for all instrumentation systems across the range.
• Coordinate with facility engineers and construction teams for physical infrastructure modifications and deployments.
• Test & Operations Support:
• Collaborate closely with test directors, mission planners, range operators, and data analysts to understand requirements and provide technical solutions.
• Provide expert support during testing, anomaly resolution, and post-test data analysis.
• Ensure compliance with all relevant range safety, security, environmental, and regulatory requirements.
• Technical Leadership & Mentorship:
• Provide technical leadership, guidance, and mentorship to junior engineers and cross-functional teams.
• Conduct trade studies, feasibility analyses, and risk assessments for proposed architectural changes and technology investments.
• Prepare detailed technical reports, presentations, and documentation for internal stakeholders and external customers.

Required Qualifications

• Bachelor's degree in Electrical Engineering, Aerospace Engineering, Systems Engineering, Computer Science, or a related technical field.
• 15+ years of progressive experience in instrumentation systems architecture, leadership, or complex range infrastructure development, preferably within the defence or aerospace industry.
• Demonstrated experience in systems architecture development for complex real-time systems.
• Strong understanding of data acquisition (DAQ) principles, telemetry systems (e.g., IRIG 106), RF systems, and various sensor technologies.
• Proficiency with system modeling tools (e.g., SysML, MATLAB/Simulink), CAD software, and/or programming languages (e.g., Python, C++).
• Extensive experience in the design, development, integration, operation, and maintenance of test range infrastructure and instrumentation supporting high-speed weapons systems and Unmanned Aerial Vehicles (UAVs)/drones.
• Experience with network design, distributed systems, and real-time data processing.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
• Ability to work independently, manage multiple priorities, and lead technical efforts within a team environment.
• Ability to travel as required to multiple test locations CONUS and OCONUS.
• Must be able to obtain and maintain a U.S. Security Clearance (Secret or Top Secret preferred).

Preferred Qualifications

• Master's or Ph.D. in a relevant engineering discipline.
• Experience with specific missile test range instrumentation, such as high-speed video systems, precision timing systems, advanced radar tracking, or target scoring systems.
• Knowledge of cybersecurity best practices and implementation for critical infrastructure and classified systems.
• Familiarity with industry standards (e.g., IRIG, MIL-STD-1553, ARINC 429).
• Project management experience (PMP certification a plus).
• Hands-on experience with hardware design, prototyping, and testing.

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Working with industry partners, you will identify USA differentiated components and sub-manufacturers that would enable the creation of a broad portfolio of mission-specific compute solutions that would enable various platforms.

Key responsibilities include:

• Working with industry vendors and partners to source and design cutting-edge AI compute architectures, board-level solutions, and integrated systems.
• Collaborating with cross-functional engineering teams to design for our customers' requirements.
• Employing Model-Based Systems Engineering (MBSE) methodologies to effectively define interfaces between various system components within the architecture, ensuring seamless integration and streamlined development processes.
• Developing system architectures that encompass all critical components and subsystems, ensuring a holistic and integrated approach.
• Defining key capabilities and performance requirements of the hardware system, ensuring alignment with customer needs and industry standards.
• Decomposing system functionality into modular components, enabling efficient design and development processes.
• Leading thorough evaluations and making informed recommendations regarding potential external technology partnerships or vendors, leveraging their expertise when necessary to expedite hardware development processes.
• Leading comprehensive technical planning, system integration, verification and validation, cost and risk, as well as supportability and effectiveness analyses.
• Leading functional analysis, timeline analysis, detailed trade studies, requirements allocation, and interface definition studies to aid in translating customer requirements into hardware and software specifications.
• Providing oversight in conducting testing and validation of hardware designs, ensuring quality, reliability, and compliance with industry regulations and standards.
• Driving the product lifecycle from prototype to LRIP to FRP.

Requirements include:

• A Bachelor of Science degree in an engineering field AND 10 years of related professional/military experience in Computer Engineering, MBSE, Systems Engineering OR a Master's degree with 5 years of related professional/military experience.
• Previous experience working in hardware supply chain and manufacturing.
• Ability to set/manage customer and internal/external stakeholder expectations while also prioritizing key program initiatives (schedule, cost, quality, etc.).
• Strong understanding of various architecture frameworks (DoDAF, etc.), knowledge and understanding of interface control documents (ICDs).
• Experience with hardware verification, testing, and validation methodologies.
• Experience in data center server and/or personal computer manufacturing.
• Ability to obtain or have active DoD Top Secret Clearance with the ability to obtain SCI access, with a background investigation completed within the last 6 years or currently enrolled into Continuous Evaluation.

Salary range: $254,000-$336,000 USD.

Additional benefits include:

• Comprehensive medical, dental, and vision plans at little to no cost to you.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December.
• Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.
• Professional Development: Annual reimbursement for professional development.
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.
• Retirement Savings Plan: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.

Please note that Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process.
• Please always verify communications:

Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency.

• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage.
• What to Do If You Suspect Fraud: Should you encounter any questions or concerns about the legitimacy of an Anduril job opportunity, please reach out to contact@anduril.com.

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This is an impactful role where you will take ownership of defining critical maintenance plans, shaping technical data packages, optimizing sparing, and ensuring seamless lifecycle management. Your expertise will be vital in translating engineering innovation into reliable, supportable systems for our warfighters, directly enabling Anduril’s mission to transform defense technology.

Responsibilities

• Develop and maintain comprehensive, ground-up sustainment plans for the specific product(s) you support
• Partner with customers, operations teams, and cross-functional engineering teams to define, implement, and continuously improve effective maintenance and repair strategies
• Ensure the availability of up-to-date maintenance procedures, specialized tools, and accurate technical manuals to support field sustainment operations
• Serve as the primary point of contact for all sustainment-related matters within your assigned product team, proactively identifying and resolving issues
• Collaborate with design and manufacturing engineering teams during new product development phases to integrate best sustainment practices and design-for-supportability concepts early in the process
• Create and maintain a Service Bill of Materials (SBOM) and other critical sustainment artifacts (e.g., provisioning lists, support equipment lists), ensuring they establish a central, up-to-date repository for all sustainment data

Requirements

• Demonstrated detailed and extensive technical expertise in applying mechanical or systems engineering principles to complex hardware systems
• Hands-on proficiency with professional CAD software and Product Lifecycle Management (PLM) tools for managing engineering data, changes, and configurations
• Foundational understanding and practical application of Integrated Product Support (IPS) elements, principles, and concepts (e.g., maintenance planning, supply support, technical data management, support equipment, training, facilities)
• 5+ years of experience in product support, sustainment engineering, or systems engineering roles within a high-rigor environment (e.g., defense, aerospace, advanced robotics, complex industrial systems)
• Familiarity with military standards, specifications, and regulatory compliance relevant to product support and sustainment activities
• Proven ability to work effectively in dynamic, unstructured environments, adapt to rapidly changing priorities, and quickly learn and master new technologies and complex systems
• Excellent written and verbal communication skills, with a demonstrated ability to synthesize complex technical and quantitative data into clear, concise decision statements and actionable recommendations for diverse audiences (engineers, operators, customers)

Preferred Qualifications

• Bachelor's degree in Engineering (Mechanical, Manufacturing, Aerospace, or related field)
• Direct experience with sustainment methodologies such as Maintenance Task Analysis (MTA), Level of Repair Analysis (LORA), Reliability Centered Maintenance (RCM), or developing Contractor Logistics Support (CLS) plans
• Proven track record of developing and delivering key customer-facing sustainment artifacts and contractual deliverables
• Prior hands-on experience with specific enterprise tools such as Siemens NX, Teamcenter (PLM), JIRA, or Oracle (ERP) or equivalent systems
• Direct experience with complex military systems, robotics, unmanned systems, or advanced defense technology products
• Understanding of the use of the Technical Data Package (drawings, parts lists, interface control documents, and electrical schematics)
• Eligible to obtain and maintain an active U.S. Secret security clearance
• Willingness and ability to travel for on-site support, field deployments, and direct customer engagements as required

XML job scraping automation by YubHub

The primary responsibilities of this role include designing and implementing distributed storage solutions to support scaling data-intensive AI workloads, contributing to the development of exabyte-scale, S3-compatible object storage, and integrating dedicated storage clusters into diverse customer environments. Additionally, the successful candidate will work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency.

Key responsibilities also include leading efforts to improve the reliability, durability, security, and observability of our storage stack, collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments, setting the bar for developing metrics and dashboards to provide visibility into storage performance and health, analyzing telemetry and system data to drive improvements in throughput, latency, and resilience, and working cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.

A key aspect of this role is sharing knowledge and mentoring other engineers on best practices in building distributed, high-performance systems.

To be successful in this role, the ideal candidate will have a strong background in storage systems engineering or infrastructure, with a minimum of 8-10 years of experience. They will also have hands-on experience with object storage or distributed filesystems in production environments, as well as proficiency in a systems programming language such as Go, C, or Rust. Additionally, they will have experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures, and familiarity with storage observability tools and telemetry pipelines.

If you're a motivated and experienced engineer looking to join a dynamic team and contribute to the development of cutting-edge storage solutions, we encourage you to apply for this exciting opportunity.

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Location: Bengaluru, India

We're looking for a seasoned Director of Engineering to lead our data infrastructure organization in Bengaluru. As a founding technical leader in our fastest-growing engineering hub, you will be responsible for building world-class teams and shaping architectural decisions that ripple across the company.

About the Role:

• You will build the data infrastructure organization that makes Databricks' continued growth possible.
• Establish foundational teams in Bengaluru owning the bedrock systems that guarantee billing correctness, operational resilience, and zero-downtime recovery across our entire monetization stack.
• Define what world-class infrastructure looks like for the next decade of data platforms.

Responsibilities:

• Deliver the infrastructure vision for systems processing billions in daily billing transactions with zero tolerance for error.
• Build Bengaluru's data infrastructure organization by establishing it as the destination for India's top infrastructure talent.
• Own business-critical systems operating 24/7/365 across 100+ regions where even 99.9% uptime means hours of customer pain.
• Ship platforms that compound engineering leverage across Databricks.

Requirements:

• 14+ years in distributed systems engineering with 6+ years leading infrastructure organizations and 4+ years managing managers at companies where infrastructure failures meant immediate revenue impact, customer escalations, or regulatory consequences.
• Technical depth across petabyte-scale data pipelines and distributed systems reliability.
• Track record defining multi-year infrastructure vision and translating it into sequential deliverables that show value quarterly.
• Experience building 99.999%+ reliable systems with established practices for SLOs/SLIs, chaos engineering, disaster recovery, and sophisticated observability.
• Proven ability to scale infrastructure organizations in high-growth environments.
• Communication skills to make complex infrastructure decisions legible to executives.

What You'll Need:

• BS in Computer Science or Engineering; MS or Ph.D. preferred.
• Experience with Apache Spark, Delta Lake, large-scale data infrastructure, fintech/billing systems, or leading infrastructure through hypergrowth strongly preferred.

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

Compliance:

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to grant such access.

XML job scraping automation by YubHub

This is an impactful role where you will take ownership of defining critical maintenance plans, shaping technical data packages, optimising sparing, and ensuring seamless lifecycle management. Your expertise will be vital in translating engineering innovation into reliable, supportable systems for our warfighters, directly enabling Anduril’s mission to transform defence technology.

Key responsibilities include:

Developing and maintaining comprehensive, ground-up sustainment plans for the specific product(s) you support Partnering with customers, operations teams, and cross-functional engineering teams to define, implement, and continuously improve effective maintenance and repair strategies Ensuring the availability of up-to-date maintenance procedures, specialised tools, and accurate technical manuals to support field sustainment operations Serving as the primary point of contact for all sustainment-related matters within your assigned product team, proactively identifying and resolving issues Collaborating with design and manufacturing engineering teams during new product development phases to integrate best sustainment practices and design-for-supportability concepts early in the process Creating and maintaining a Service Bill of Materials (SBOM) and other critical sustainment artefacts (e.g., provisioning lists, support equipment lists), ensuring they establish a central, up-to-date repository for all sustainment data

You will have the opportunity to work on complex military systems, robotics, unmanned systems, or advanced defence technology products, and contribute to the development of cutting-edge technologies that will shape the future of defence.

If you are a motivated and experienced engineer looking for a challenging role that will allow you to make a real impact, we encourage you to apply.

XML job scraping automation by YubHub

In this leadership opportunity, you will build the data infrastructure organization that makes Databricks' continued growth possible. You'll establish foundational teams in Bengaluru owning the bedrock systems that guarantee billing correctness, operational resilience, and zero-downtime recovery across our entire monetization stack, alongside multi-region data ingestion, developer platforms, and deployment automation that eliminate friction at petabyte scale.

This isn't about maintaining what exists; it's about architecting the infrastructure that enables Databricks to scale while reducing operational burden. You'll define what world-class infrastructure looks like for the next decade of data platforms.

The impact you'll have:

• Deliver the infrastructure vision for systems processing billions in daily billing transactions with zero tolerance for error, building disaster recovery that's provably reliable, testing frameworks that catch what production sees, correctness systems that make billing errors structurally impossible, and observability that predicts failures before they happen

• Build Bengaluru's data infrastructure organization by establishing it as the destination for India's top infrastructure talent, hiring multiple engineering managers who become force multipliers, and creating a culture where solving hard distributed systems problems at scale is the daily work

• Own business-critical systems operating 24/7/365 across 100+ regions where even 99.9% uptime means hours of customer pain, driving reliability improvements that prevent millions in revenue loss while eliminating operational toil through frameworks that make systems self-healing, self-tuning, and self-documenting

• Ship platforms that compound engineering leverage across Databricks: correctness frameworks that catch billing errors before customers do, deployment automation that makes regional expansion push-button, data integration systems that process petabyte-scale flows without human intervention, and testing infrastructure where comprehensive coverage is automatic, not heroic

• Position infrastructure as product by treating internal engineering teams as customers with SLAs, measuring adoption and satisfaction, iterating based on feedback, and demonstrating that every dollar invested in infrastructure returns multiplicative gains in product velocity, reliability improvements, or cost reductions

You'll need:

• 14+ years in distributed systems engineering with 6+ years leading infrastructure organizations and 4+ years managing managers at companies where infrastructure failures meant immediate revenue impact, customer escalations, or regulatory consequences - and you built the systems and teams that made those failures rare

• Technical depth across petabyte-scale data pipelines and distributed systems reliability where you can engage from 'how should we architect multi-region disaster recovery' to 'why is this Kafka cluster exhibiting this latency pattern' while knowing when to coach versus when to decide

• Track record defining multi-year infrastructure vision and translating it into sequential deliverables that show value quarterly while building toward architectural end states, positioning infrastructure investments as business enablers rather than cost centers, and making build-vs-buy decisions that compound over time

• Experience building 99.999%+ reliable systems with established practices for SLOs/SLIs, chaos engineering, disaster recovery, and sophisticated observability that predicts failures before they happen

• Proven ability to scale infrastructure organizations in high-growth environments where you've doubled engineering while maintaining quality bar, developed engineering managers, and created teams where retention is high because the problems are interesting and the culture is strong

• Communication skills to make complex infrastructure decisions legible to executives (translating technical investments into business outcomes), influence cross-functional partners without authority, build trust across global teams in different timezones with different working styles, and represent Databricks' technical brand externally

BS in Computer Science or Engineering; MS or Ph.D. preferred. Experience with Apache Spark, Delta Lake, large-scale data infrastructure, fintech/billing systems, or leading infrastructure through hypergrowth strongly preferred.

XML job scraping automation by YubHub

You will work across engineering, security, and product teams to ensure our digital infrastructure is secure, scalable, and ready to support emerging mission demands.

Key responsibilities include:

• Design, deploy, and maintain enterprise cloud landing zones, security and infrastructure tooling.
• Collaborate with teams across the U.S. and Australia to enable secure connectivity between other sovereign cloud environments.
• Partner with government customers, authorizing officials (AOs), cybersecurity teams, and policy shops to accelerate accreditation, break through legacy barriers, and unlock access for cross-nation engineering teams.
• Implement infrastructure automation (IaC), observability tooling, and secure configuration baselines to support scalable, repeatable environment builds.
• Work closely with product, autonomy, Lattice, and Maritime engineering teams to integrate infrastructure capabilities with platform development, testing, and deployment workflows.
• Act as a technical leader during environment standup, troubleshooting, and validation events; ensure classified systems perform reliably in support of mission-critical needs.
• Support development of next-generation secure architectures for multinational development, data sharing, and mission system integration across Maritime platforms.
• Serve as a technical representative during customer events, exercises, and operational demonstrations to ensure infrastructure readiness and mission success.

Required qualifications include:

• Ability to obtain and maintain a UK security clearance to SC level.
• Bachelor's degree in a STEM field or equivalent engineering experience.
• Technical depth in one or more areas, including cloud infrastructure, secure networking, systems engineering, DevSecOps, platform architecture, cybersecurity, identity & access management.
• Specific technology includes: cloud - AWS, Azure; infrastructure as code - Terraform, CloudFormation; SCM - GitHub Enterprise; CI/CD - CircleCI, Gitlab; IDAM + SSO - Okta, AWS Identity Center.
• 8+ years of relevant engineering, infrastructure, or technical program execution experience.
• Willingness to travel domestically and internationally as required.

Preferred qualifications include:

• Experience with secure systems engineering, ideally within UK Government or Defence.
• Experience provisioning large enterprise cloud platforms for hundreds or thousands of users.
• Experience designing or maintaining distributed systems, secure networks, or infrastructure supporting autonomy, AI/ML, or big data workloads.
• Demonstrated ability to work across technical disciplines, influence without authority, and operate in ambiguous and fast-paced environments.
• Experience working with international partners or navigating multi-nation technical or policy workflows.

The salary range for this role is competitive and includes highly competitive equity grants as part of Anduril's total compensation package.

Additional benefits include:

• Comprehensive medical, dental, and vision plans at little to no cost to you.
• Generous time off, including a holiday hiatus in December.
• Family planning & parenting support, including coverage for fertility treatments and adoption.
• Mental health resources, including access to free therapy and life coaching.
• Professional development opportunities, including annual reimbursement for professional development.
• Commuter benefits and relocation assistance.

XML job scraping automation by YubHub

Your primary responsibility will be to lead the use of 'Test' as a design tool to support component, system, and subsystem maturation from discrete bench tests to production representative Vehicle, Mission, and Support Systems. This includes developing and sustaining highly representative Hardware In Lab (HIL) and Hardware In The Loop (HITL) physical integration environments – capable of 'flying' missions.

You will also focus on the safety of integration environments, ensuring that potential harm of team members can be eliminated by design. Additionally, you will leverage crewed and uncrewed flying assets as surrogates for subsystem development in the representative environment.

To be successful in this role, you will need to have a strong background in systems engineering, integration, and test, with experience in developing and operating HIL/HITL/IRON BIRD environments for flight vehicles. You should also have experience with vehicle/system level integration and test, preferably with Group 3 or larger uncrewed and autonomous platforms.

• Lead the use of 'Test' as a design tool to support component, system, and subsystem maturation from discrete bench tests to production representative Vehicle, Mission, and Support Systems
• Develop and sustain highly representative Hardware In Lab (HIL) and Hardware In The Loop (HITL) physical integration environments – capable of 'flying' missions
• Focus on the safety of integration environments, ensuring that potential harm of team members can be eliminated by design
• Leverage crewed and uncrewed flying assets as surrogates for subsystem development in the representative environment
• Develop, review, and execute right-sized test plans across integration environments, efficiently capturing and reporting learnings, and making recommendations as inputs to design
• Conduct Test Readiness Reviews (TRR), and assess and mitigate hazards to ensure that testing can be safely and efficiently executed
• Implement and maintain processes for configuration control of integration environments
• Support factory acceptance, ground, and flight test of prototype and production representative Systems

We offer a competitive salary range of $166,000-$220,000 USD, as well as a comprehensive benefits package, including healthcare benefits, income protection, generous time off, family planning and parenting support, mental health resources, professional development opportunities, commuter benefits, relocation assistance, and a retirement savings plan.

If you are a motivated and experienced professional looking for a challenging and rewarding opportunity, please submit your application today.

XML job scraping automation by YubHub

This is an impactful role where you will take ownership of defining critical maintenance plans, shaping technical data packages, optimizing sparing, and ensuring seamless lifecycle management. Your expertise will be vital in translating engineering innovation into reliable, supportable systems for our warfighters, directly enabling Anduril’s mission to transform defense technology.

Responsibilities:

• Develop and maintain comprehensive, ground-up sustainment plans for the specific product(s) you support
• Partner with customers, operations teams, and cross-functional engineering teams to define, implement, and continuously improve effective maintenance and repair strategies
• Ensure the availability of up-to-date maintenance procedures, specialized tools, and accurate technical manuals to support field sustainment operations
• Serve as the primary point of contact for all sustainment-related matters within your assigned product team, proactively identifying and resolving issues
• Collaborate with design and manufacturing engineering teams during new product development phases to integrate best sustainment practices and design-for-supportability concepts early in the process

Required Qualifications:

• Demonstrated detailed and extensive technical expertise in applying mechanical or systems engineering principles to complex hardware systems
• Hands-on proficiency with professional CAD software and Product Lifecycle Management (PLM) tools for managing engineering data, changes, and configurations
• Foundational understanding and practical application of Integrated Product Support (IPS) elements, principles, and concepts (e.g., maintenance planning, supply support, technical data management, support equipment, training, facilities)
• 5+ years of experience in product support, sustainment engineering, or systems engineering roles within a high-rigor environment (e.g., defense, aerospace, advanced robotics, complex industrial systems)
• Familiarity with military standards, specifications, and regulatory compliance relevant to product support and sustainment activities
• Proven ability to work effectively in dynamic, unstructured environments, adapt to rapidly changing priorities, and quickly learn and master new technologies and complex systems
• Excellent written and verbal communication skills, with a demonstrated ability to synthesize complex technical and quantitative data into clear, concise decision statements and actionable recommendations for diverse audiences (engineers, operators, customers)

Preferred Qualifications:

• Bachelor's degree in Engineering (Mechanical, Manufacturing, Aerospace, or related field)
• Direct experience with sustainment methodologies such as Maintenance Task Analysis (MTA), Level of Repair Analysis (LORA), Reliability Centered Maintenance (RCM), or developing Contractor Logistics Support (CLS) plans
• Proven track record of developing and delivering key customer-facing sustainment artifacts and contractual deliverables
• Prior hands-on experience with specific enterprise tools such as Siemens NX, Teamcenter (PLM), JIRA, or Oracle (ERP) or equivalent systems
• Direct experience with complex military systems, robotics, unmanned systems, or advanced defense technology products
• Understanding of the use of the Technical Data Package (drawings, parts lists, interface control documents, and electrical schematics)
• Eligible to obtain and maintain an active U.S. Secret security clearance
• Willingness and ability to travel for on-site support, field deployments, and direct customer engagements as required

US Salary Range $129,000-$193,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full-time offers; and are considered part of Anduril’s total compensation package.

Additional Benefits:

• Healthcare Benefits: Comprehensive medical, dental, and vision plans at little to no cost to you.
• Income Protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December.
• Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.
• Additional work-life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development.
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.
• Retirement Savings Plan: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.

ExperienceLevel: senior EmploymentType: full-time WorkplaceType: onsite Category: Engineering Industry: Technology SalaryRange: $129,000-$193,000 USD RequiredSkills: ["mechanical engineering", "systems engineering", "CAD software", "PLM tools", "Integrated Product Support", "military standards", "regulatory compliance"] PreferredSkills: ["sustainment methodologies", "Maintenance Task Analysis", "Level of Repair Analysis", "Reliability Centered Maintenance", "Contractor Logistics Support", "Siemens NX", "Teamcenter", "JIRA", "Oracle", "complex military systems", "robotics", "unmanned systems", "advanced defense technology products"]

XML job scraping automation by YubHub

The ISD will collaborate closely with the Senior Manager of Training Operations, Curriculum Developer, and Subject Matter Experts (SMEs) to operationalize training content into systems and structures that enable seamless delivery and accessibility for diverse end-user audiences. As a key partner in training lifecycle, the ISD will help design the “how” of training delivery with a focus on scalability, effectiveness, and system performance.

Systems Design & Implementation:

• Design and implement scalable instructional systems, frameworks, and processes to deliver highly technical training content (e.g., LMS platforms, SCORM-compliant systems, virtual training platforms, or other performance support tools).
• Develop innovative approaches to operationalizing technical training, optimizing delivery methods while working within the constraints of Air Force or other military standards and regulations.
• Test and validate system performance to ensure seamless integration of training content developed by Curriculum Developers.
• Conduct usability testing to ensure systems meet the needs of end-users, including engineers, pilots, maintainers, and government clients.

Stakeholder Collaboration:

• Work with the Senior Manager of Training Operations, SMEs, and Curriculum Developers to design, implement, and scale training solutions that align with organizational objectives and military standards.
• Act as the strategic bridge between content creation teams and systems implementation, ensuring that what is created by Curriculum Developers aligns with how it is delivered.
• Build strong collaborative relationships across business lines, technical teams, and external clients, serving as a trusted advisor on training systems' design and optimization.

Needs Analysis & Delivery Innovation:

• Conduct thorough training needs analyses to identify optimal systems or platforms for specific training goals based on the needs of diverse learners and stakeholders.
• Leverage expertise in industry standards and emerging technologies (e.g., SCORM-compliant tools, LMS platforms, AR/VR solutions, or AI-driven training platforms) to recommend and implement cutting-edge instructional systems.
• Align delivery methods with military or government standards, ensuring innovative, forward-thinking solutions are still compliant with required frameworks and policies.

Evaluation & Optimization:

• Develop methods to monitor and report on system and learner performance, using LMS data, analytics dashboards, and evaluation models (e.g., Kirkpatrick’s Levels of Evaluation).
• Analyze data to refine implementation strategies, improve training effectiveness, and adapt to changing requirements.
• Partner with stakeholders to provide insights on how training systems contribute to performance outcomes and organizational objectives in technical or military contexts.

Standardization & Compliance:

• Ensure all training systems and their implementation comply with military standards (e.g., Air Force training specifications), organizational policies, and industry benchmarks such as SCORM or xAPI.
• Maintain consistent documentation of systems processes, best practices, and lessons learned to create scalable, repeatable training system operations.
• Stay up-to-date on emerging military and government compliance requirements for training systems.

Required Qualifications:

• Bachelor’s degree in Instructional Design, Systems Engineering, Educational Technology, or a related field.
• 5+ years experience as an Instructional Systems Designer or similar role, with demonstrated success in designing scalable frameworks for technical, engineering, aerospace, or defense-related environments.
• Familiarity with Air Force or other U.S. military training programs, including their standards and operational constraints, is required.
• Strong collaboration and communication skills, with the ability to build trust and work effectively in a matrixed and high-stakes environment.
• Analytical thinking and problem-solving skills, with a focus on delivering innovative solutions while balancing organizational constraints.
• Proficiency with e-learning authoring tools (e.g., Articulate Storyline, Adobe Captivate) and multimedia production tools.
• Knowledge of systems integration standards and frameworks, including SCORM, xAPI, or cmi5 compliance.
• Ability to manage multiple projects in a fast-paced, ambiguous environment.

Preferred Qualifications:

• Experience supporting Group 5 UAS, FAA Part 145 MRO, production test, flight test environments, or highly technical/regulated industries.
• Understanding of Learning Management Systems (LMS) and training tracking tools (e.g., Cornerstone).
• Relevant certifications, such as CPLP, Agile Practitioner, or instructional design/technology credentials.
• Familiarity with immersive technologies, such as VR/AR, and their applications in training design and implementation.
• Experience with Agile workflows or project management tools like Jira.
• Prior Military experience (Operations or Maintenance Officer/Senior Enlisted).

US Salary Range: $98,000-$130,000 USD

XML job scraping automation by YubHub

Your responsibilities will include:

• Designing and building distributed systems that process, enrich, and respond to billions of behavioral events per day in real time
• Developing high-performance APIs and services that support advertising, identity, and intent features across the Marketing Platform
• Leveraging machine learning and large language models (LLMs) to analyze behavioral data, classify content, extract signals, and enable intelligent decision-making
• Building intelligent agents using frameworks like LangGraph or MCP to reason over data and power user-facing insights
• Designing and operating data pipelines using tools like Kafka, Kinesis, and ClickHouse to support both streaming and batch workloads
• Driving quality, performance, scalability, and observability across all systems you own
• Collaborating cross-functionally with product managers, data scientists, and engineers to deliver customer-facing features and internal tooling
• Contributing to technical leadership and mentorship of teammates

We're looking for someone with 8+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership. You should have strong experience in at least one of the following areas:

• Distributed systems engineering
• Big data infrastructure
• Applied AI/ML

You should also be proficient in one or more core languages (Java, Go, Python), have a solid grasp of SQL and large-scale data modeling, and familiarity with databases and tools such as ClickHouse, DynamoDB, Bigtable, Memcached, Kafka, Kinesis, Firehose, Airflow, Snowflake.

Bonus points if you have experience in ad tech, real-time bidding (RTB), or programmatic systems, background in identity resolution, attribution, or behavioral analytics at scale, contributions to open source in ML, infrastructure, or data tooling, or strong product instincts and a passion for building tools that drive meaningful outcomes.

XML job scraping automation by YubHub

You will inform business strategy and deliver data-driven insights that enable revenue generation across the organization. This will require strong analytical skills, a knack for process improvement, and experience working with cross-functional teams.

Key responsibilities include:

• Partnering cross-functionally with Business Development, Corporate Operations, and Financial Planning & Analysis (FP&A) to develop and refine strategic reporting and planning processes and goals.
• Serving as a trusted advisor on best practices for growth systems, championing data integrity and governance standards, and supporting growth leads in refining forecasts and business opportunities.
• Analyzing top-line data to identify business trends, surface insights, and enable informed, data-backed decisions.
• Developing business cases for new investment opportunities to meet P&L targets and ensure adequate resourcing.
• Owning the translation of sales pipeline demand into short- and long-term planning across Operations, People, Production, Real Estate, Corporate Technology, and Finance.
• Managing relationships with key customers, partners, and government agencies, ensuring alignment with contractual obligations and stakeholder expectations.

Required qualifications include:

• Currently possessing or eligible to immediately obtain an active U.S. Top Secret security clearance.
• Minimum 5-6 years managing complex technical software programs or 5 years in consulting for aerospace and defense.
• Strong technical background with familiarity in systems engineering, software development, and hardware/software integration.
• Proficiency with Agile methodologies and supporting tools.
• Exceptional organizational, presentation, and communication skills.

Preferred qualifications include:

• Experience in startups or small organizations with multiple fast-moving, interdependent programs.
• Familiarity with a defense acquisition processes, compliance, and reporting requirements.
• Experience with developing and operating distributed systems, CI/CD pipelines, APIs, middleware, and modular system architectures.
• Proven ability to lead through influence and collaboration.
• Demonstrated success in a fast-paced, innovative environment.
• Knowledge of military systems and operational tactics.

XML job scraping automation by YubHub

As a Manager, Software Engineering, you will be responsible for demonstrating end-to-end outcome ownership of a major system within an integrated product, and the team responsible for building and maintaining it. You will contribute as a team lead to the rapid architecting, design, delivery, support, and evolution of next-generation autonomous platforms through their entire product life-cycle.

Key responsibilities include:

• Empathizing with end-users and driving solutions that balance their needs with external constraints, restrictions, and requirements in a multi-stakeholder environment
• Being accountable for software-enabled solutions that are deployed to customers, optimizing for the delivery of value to the end-user
• Collaborating with your Technical Lead to architect scalable software that rapidly delivers capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time
• Coordinating your team's roadmap and execution with other teams across Anduril, with the aim of developing components that are reusable across multiple Anduril product lines
• Contributing to the design, implementation, and execution of development processes for the initial delivery and subsequent iteration of vehicle and mission software, including full lifecycle testing, monitoring, and operation
• Managing a 6-18 month roadmap for your team, nested within broader organisational roadmap
• Managing an allocated budget for your team
• Managing programmatic risk for your team, and collaborating with your Technical Lead to manage technical risk, including sound and timely decision making
• Leading by example as a technically competent, trustworthy, and accountable team lead
• Communicating organisational vision, strategy, and direction to your team
• Defining, documenting, gaining consensus for, and communicating appropriate goals and plans for your team, derived from broader organisational vision, strategy, and priorities
• Building your team through mentoring, professional development, career management, and collaboration with Anduril's recruiting and people functions
• Working as a leader of a multi-disciplinary engineering team of 4-10 members, including as a mentor and manager for Engineers from differing backgrounds
• Reporting to a manager who may or may not have a background in software engineering
• Traveling to co-locate with end-users and/or other teams up to 20% of the time

XML job scraping automation by YubHub

This individual will play a pivotal role in shaping the future of vertical flight focusing on air vehicle development and integrating mission autonomy to meet the evolving demands of defence capabilities.

You will work on new aircraft development, including propulsion systems, avionics, batteries, mechanisms, structures, sensors and payloads, in a lean, high-ownership culture where you directly shape the product and operate at a velocity to fly new designs.

Key Responsibilities:

• Lead the use of 'Test' as a design tool to support component, system and subsystem maturation from discrete bench tests to production representative Vehicle, Mission and Support Systems

• Develop and sustain highly representative Hardware In Lab (HIL) and Hardware In The Loop (HITL) physical integration environments – capable of 'flying' missions

• Focus on the safety of integration environments, ensuring that potential harm of team members can be eliminated by design

• Develop, review, and execute right-sized test plans across integration environments, efficiently capturing and reporting learnings, and making recommendations as inputs to design

• Implement and maintain processes for configuration control of integration environments

• Support factory acceptance, ground and flight test of prototype and production representative Systems

Requirements:

• Bachelor degree or higher in Mechanical, Electrical, Mechatronics, Aerospace Engineering, Systems Engineering or aviation related technical discipline

• 5+ years experience in Systems Engineering, integration and test

• Experience in developing and operating HIL/HITL/IRON BIRD environments for flight vehicles

• Vehicle/System level integration and test experience, preferably with Group 3 or larger uncrewed and autonomous platforms. Flight test experience an advantage.

• Adept at working safely with high voltage systems, including integration, checkout and test

• Extensive knowledge of electronics/communications/integration troubleshooting and ability to use identify and operate appropriate diagnostics instruments. Experienced in debug of common protocols such as CAN/Ethernet/Serial.

• Experience with Linux and command line interface as well as software debugging

• Practiced in selecting, installing and operating data acquisition systems and specifying sensor types and ranges

• Extensive application of every aspect of the test process from planning to reporting

• Extremely organised and detail-oriented, excellent verbal & written communication skills (effective for broad audiences)

• A sincere commitment to a positive, inclusive, and collaborative culture

• Trade or Mechanic qualifications considered advantageous

• Defence Industry background desirable

• Eligible to obtain and maintain a security clearance in United States, United Kingdom, or Australia

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This role requires deep experience training technical subjects, preferably to US Government entities, as well as engineering expertise. You will also serve as a key bridge between instructional designers, product and engineering, and the instructors, focusing on constant improvement of training content and delivery to drive customer adoption.

Strategic Leadership & Team Management: Develop and grow technical training teams for customers supporting Anduril's product roadmap, business objectives, and customer success goals. Establish clear performance metrics, development pathways, and operational standards for the customer training teams. Foster a culture of excellence, ownership, and continuous improvement within the training teams, establishing feedback mechanisms and metrics to funnel student suggestions into the product stream.

Program Development & Delivery Oversight: Collaborate on the design and development of engaging learner-centered technical training programs for a wide range of Anduril products and systems. Ensure training collateral and instruction remain current, accurate, and aligned with new features and functionalities across all product lines.

Stakeholder Collaboration & Customer Advocacy: Act as a key strategic partner to Product Management, Engineering, Design, Operations, and Business Development teams to capture product updates, inform training needs, and champion the voice of the customer. Build and maintain strong relationships with key customers and stakeholders, understanding their operational contexts, identifying pain points, and influencing product and training roadmaps.

Operational Excellence & Compliance: Establish and optimise standardised processes, tools, and techniques for training deliveries across all customer training teams. Implement robust audit-ready processes for training team documentation, compliance reporting, and data collection.

Required Qualifications: 10+ years of experience in with the US military or Intelligence Community (IC) enabling an understanding of their unique operational training requirements. Experience in a high-tech customer-facing technical training role within the defence, aerospace, or high-tech industry, with a significant portion (5+ years) in a leadership or management capacity. Proven experience building, leading, and scaling high-performing technical training teams, preferably in a fast-paced and rapidly evolving environment.

Preferred Qualifications: Bachelor's degree in systems engineering or equivalent experience in a related field. Prior military or government agency experience. Familiarity with regulatory frameworks such as FAA or DCMA, and experience in audit readiness for training programs.

Salary Range: $146,000-$194,000 USD

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The Air Dominance and Strike (AD&S) Chief Engineering Team is a driving force behind the technical execution and strategic vision of our most critical programs. As our Chief Air Vehicle Architect, you will be the senior technical authority for conceptual design, applied S&T, and experimental development of advanced flight platforms.

RESPONSIBILITIES

Concept Creation & Applied Science

• Lead early conceptual design of entire advanced air vehicle platforms: configuration exploration, trade studies, and performance modeling.
• Apply first-principles thinking across air vehicle engineering: aerodynamics, structures, propulsion, flight controls, GNC, low observables, autonomy, and mission systems to evaluate concepts.
• Identify and mature key scientific and technical breakthroughs for new operational capability through novel air vehicle designs.
• Balance creativity with engineering realism, ensuring executable technology paths for complete air vehicle solutions.

Systems Architecture & Integration

• Define holistic system architectures integrating air vehicle design, mission systems, autonomy, and manufacturing from the outset.
• Lead cross-disciplinary trade studies and modeling to understand interactions, sensitivities, and failure modes across the entire flight system.
• Guide concepts from exploration to prototype-ready air vehicle designs.

QUALIFICATIONS

• Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, Physics, Systems Engineering, or related technical field (advanced degree preferred).
• 10+ years direct experience in conceptual design, architecture, or advanced development of complete air vehicle platforms.
• Demonstrated experience leading conceptual design and early-phase system architecture for full aircraft or complex flight systems.
• Strong systems-level thinking across all air vehicle engineering domains.
• Hands-on experience with real flight hardware, experimentation, or test activities.
• Ability to obtain and maintain a U.S. security clearance.

SALARY

US Salary Range $254,000-$336,000 USD

BENEFITS

Anduril offers top-tier benefits for full-time employees, including:

• Healthcare Benefits
• Income Protection
• Generous time off
• Family Planning & Parenting Support
• Mental Health Resources
• Professional Development
• Commuter Benefits
• Relocation Assistance
• Retirement Savings Plan

PROTECTING YOURSELF FROM RECRUITMENT SCAMS

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
• Please always verify communications:
• Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
• Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
• What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com.

DATA PRIVACY

Anduril is committed to protecting the privacy and security of our candidates and employees. We collect and use personal data in accordance with applicable laws and regulations.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers trillions of requests per month. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code.

What you'll do as a Specialist Solution Engineer

You will work with our clients to understand their business needs and understand their current applications landscape and access architecture with the goal of helping them develop a security posture that meets their needs while also keeping their employees and assets safe according to the most recent standards in cyber security. You will do this with the technological solutions in the Cloudflare One product portfolio, which encompasses different Zero Trust offerings, including our cutting edge Remote Browser Isolation and email security solutions.

Responsibilities

• Serve as a trusted advisor to our customers; helping them find the best solution for their business needs with Cloudflare One.
• Guide qualified prospects through the Solution Design and Proof of Concept stages of sales engagements; showing them the key capabilities of the Cloudflare One portfolio
• Work with your Sales Partners to consistently achieve Pipeline and Revenue goals
• Understand our customers IT landscape and security requirements and develop an architecture for our customers to support their business needs
• Articulate the benefits of the Cloudflare One product portfolio vs competing solutions
• Promote retention by capturing and communicating gaps in product or features

Skill Requirements

• Curiosity and Learning Agility
• 8+ years of prior Technical Sales, Systems Engineering, or related experience
• Experience interacting with senior level/executives to communicate a message of network and security transformation
• Familiar with trends in cyber security (e.g. RAT/trojans, malware, ransomware, phishing, adware, cryptomining, spam, botnets, info stealing, scareware)
• Fundamental understanding of customer network and application architectures.
• Technical curiosity and passion: Cloudflare is at the cutting edge of internet technology. It’s incumbent on us to stay up to date not only with Cloudflare’s specific products, but with industry trends.
• Detailed understanding of workflow from user to application including hybrid architectures with Azure, AWS, GCP.
• SASE concepts and Zero Trust Networking architectures
• Secure Web Gateway, CASB, DLP, DNS, DNS over HTTPS
• IdP/authentication, SAML, OTP
• SaaS application integration and tenant controls
• VPN and remote access challenges
• SIEM and log analytics platforms
• Client OS fundamentals and software distribution
• Ability to jump in with hands-on configuration when needed
• Ability to manage a project, work to deadlines, and prioritize between competing goals

Other desirable skills areas include:

• Routing, subnetting, split tunnels. SD-WAN, local internet breakout
• End user and application security risks
• DDoS, malware, phishing, viruses
• Knowledge of competitive market around CDN providers, Web application Firewall, Remote access solutions, Next generation Firewalls, CASB solutions , DDOS mitigations solutions, SD-WAN solutions , Secure Gateway solutions

Ideally knowledge of Cloudflare ZTNA solutions such as Teams, Access, Gateway, and Browser Isolation

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to diversity, equity, and inclusion.

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Key Responsibilities:

• Provide technical guidance and solution expertise to customers
• Drive the achievement of measurable value, leading to product adoption, renewal, and expansion
• Align with Account Executives and Renewals Managers to provide customer-facing subject matter expertise
• Focus on solution-based programs that are customized to fit an individual customer's needs
• Develop and collaborate on customer workshops, demos, and other enablement
• Maintain specialty competency in one or more technologies related to GitLab's market focus

Requirements:

• Experience with a GitLab use case (SCM, CI, CD, DevSecOps, Agile Planning)
• Proficiency using DevSecOps tools or highly technical tooling in adjacent fields
• Specialize in GitLab use cases to provide in-depth guidance and enablement to customers of all sizes
• Technical experience in development or systems engineering
• Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions
• Have demonstrated the ability to become a trusted technical advisor to customer and business leaders
• Exceptional verbal, presentation, and written communication skills
• Excellent time management and ability to work with several different teams at any given time
• Fluent German

Benefits:

• Benefits to support your health, finances, and well-being
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental leave
• Home office support

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Your responsibilities will include planning, coordinating, and driving capture campaigns across the Division. You will work with other growth team members to drive Strategic Planning and prioritization for the Division to inform senior leader and C-Suite decision making for resourcing decisions.

You must have strong analytical skills, an understanding of market forces, competition analysis, and have excellent written, visual, and oral skills to communicate highly complex information in succinct and impactful ways.

If you have a strategic perspective on land and maritime air operations, a successful product strategy background, and experience winning customer-funded projects, this role is for you.

As the Associate Director, Business Development, you will:

• Generate and capture business opportunities. The BD team is ultimately responsible for growing revenue. You will grow a deep understanding of the existing and prospective client base, know the current and planned programmatic and technical roadmap, and be cognizant of the current and changing competitive landscape.

• Strategic Planning across the portfolio. You will partner with adjacent business lines and product teams to identify opportunities for business growth. This doesn’t just include expanding on current work, but interfacing with new partners to explore new opportunity areas by sustaining and building on the strong foundation of client relationships.

• Communicate our value to clients. BD team members represent Anduril to a broad audience: customers, partners, competitors, and the interested public. You must project the company’s ethos, conveying insights that illustrate our approach to building next-generation defense technology and our competitive edges in doing so.

• Inform product development. You will be a liaison between a current or prospective client and the teams that run current or future products, and as such must be able to translate their problem set into an actionable internal plan and product roadmap.

You will need to interpret and convey various client needs to the growth and engineering teams, help to inform and manage priorities and execution, keep Business Line stakeholders informed, and make sure that performance stays aligned to key milestones.

In this role, you will work closely with cross-functional teams, including sales, marketing, product development, and engineering to drive business growth and achieve strategic objectives.

To be successful in this role, you will need to have a strong understanding of the defense industry, including DoD acquisition processes, competitive landscapes, and market trends.

You will also need to have excellent communication and interpersonal skills, with the ability to effectively communicate complex ideas and negotiate with senior-level stakeholders.

Additionally, you will need to have a strong analytical mindset, with the ability to analyze data and develop insights that inform business decisions.

The ideal candidate will be a proven development and growth leader with prior experience in commercial or DoD Capture and Sales, demonstrating a track record of building, executing, and winning business capture strategies, particularly with an emphasis on the US Navy as a customer.

An aptitude and appetite to thrive within organizations with: nascent structure, high-ownership culture, and a “whatever it takes” environment.

A knack for knocking out deliverables in an ambiguous environment, while maintaining a level-head, strong interpersonal skills, and executive gravitas.

Demonstrated knowledge in defense acquisitions, with a history of zero-to-one defense program growth a plus.

Experience in the technical, programmatic, and operational challenges of developing and deploying Uncrewed Air or Ground systems.

Demonstrated high-energy, high-ownership individual who will drive performance and exhibit strong management skills with a high level of emotional intelligence.

Must be able to work in a fast-paced, highly entrepreneurial, and creative environment, and be able to build, adapt, and implement new and innovative approaches to market.

Excellent writing, communication skills with experience briefing senior executives and customers.

Demonstrated knowledge of relevant DoD / IC / Commercial programs, platforms and payloads, to include enabling technologies, systems integration and software development.

Bachelor’s degree.

Eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred qualifications include expertise in Land and Littoral Warfare, experience in the technical, programmatic, and operational challenges of autonomous systems and / or crewed aviation, 2-3 years consultant in the Aerospace and Defense Field, experience with government business development, government contract structures, and government proposal processes, prior military or contracting experience, or experience in DoD or Government.

Ability to travel 30-50%, some International.

Degree in mechanical engineering, electrical engineering, systems engineering, physics, robotics, or computer science.

Currently has and is able to maintain an active U.S. Secret Top Secret security clearance.

US Salary Range $166,000-$220,000 USD

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As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development.

You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve.

Responsibilities

Core Focus: Integration Development & ERP Support

• Design, build, and maintain integrations connecting ERP systems with downstream applications including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions

• Support integration development and testing during the ERP implementation projects

• Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication

• Implement real-time and batch integration patterns supporting high-volume financial transactions

• Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity

• Document integration architectures, data flows, API specifications, and troubleshooting procedures

• Collaborate with implementation consulting partners and vendors on technical integration requirements

Additional Scope: AI Automation & Data Infrastructure

• Build and deploy Claude-powered AI agents that automate financial operations including intelligent document processing, workflow automation, financial audit and reconciliations, and self-service reporting

• Design agentic workflows that leverage Claude API capabilities integrated with ERP platform data and processes

• Create automated validation and quality assurance processes for AI-generated outputs

• Partner with Finance teams to identify automation opportunities and translate requirements into AI agent solutions

• Support data pipeline development using Airflow for workflow orchestration and dbt for data transformation

• Build and maintain data flows from ERP and other financial systems into BigQuery for analytics and reporting

• Implement data quality checks and testing frameworks for financial data pipelines

• Collaborate with Data Infrastructure team on pipeline architecture, performance optimization, and security monitoring

• Support executive dashboards and financial analytics by ensuring timely, accurate data delivery

Governance & Collaboration

• Maintain comprehensive documentation for integrations, AI agents, and data pipelines

• Support internal and external audits with technical evidence and system access reviews

• Collaborate with Finance Systems Engineers on operational support, troubleshooting, and enhancement requests

• Partner with Finance Operations, Accounting, FP&A, Engineering, and Data Infrastructure teams to deliver holistic solutions

Requirements

• 8+ years of experience in integration development, data engineering, or systems engineering roles

• Hands-on experience with iPaaS platforms such as Workato, MuleSoft, Dell Boomi, or similar integration tools

• Strong programming skills in Python and/or JavaScript/TypeScript for building custom integrations, APIs, and automation scripts

• Experience with data pipeline tools including Airflow for orchestration and dbt for transformation

• Working knowledge of cloud data platforms such as BigQuery, Snowflake, or Databricks

• Understanding of REST API design patterns, webhooks, OAuth 2.0, and modern integration architectures

• Familiarity with ERP systems (Oracle Fusion, Workday Financials, or similar) and financial business processes

• Strong problem-solving skills with ability to debug complex integration issues across multiple systems

• Excellent communication skills to collaborate with technical and business stakeholders

Preferred Qualifications

• Experience with high-growth technology companies scaling through rapid revenue expansion (5x-10x growth)

• Background in AI/ML companies with familiarity in modern SaaS business models including consumption-based pricing, usage metering platforms, and marketplace billing

• Hands-on experience with specific platforms: Workday Financials (Workday Studio, EIB, custom reports, Prism Analytics)

• Technical expertise with modern finance tech stack including Stripe, Salesforce, Zuora RevPro, Zip Procurement, Clearwater treasury systems, Pigment planning tools, Numeric close management

• Programming skills in Python / JavaScript, or similar languages for building custom integrations, APIs, and automation scripts

• Experience with AI/LLM integration for financial operations, including document processing, data extraction, intelligent automation, and agentic workflows (familiarity with Claude models and API is a plus)

• Hands-on experience with modern data stack tools: BigQuery/Snowflake/Databricks, dbt for data transformation, Airflow for workflow orchestration

• Professional certifications such as Workato, Workday integrations, or relevant technical credentials

• Bachelor's or Master's degree in Computer Science, Information Systems, Accounting, Finance, Engineering, or related technical/business field

• Experience with business intelligence and financial reporting tools (Hex, Looker, Tableau, Power BI) for executive dashboards and financial analytics

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This role focuses on automating processes, building and implementing robust observability solutions, and ensuring seamless operations for mission-critical AI infrastructure.

The ideal candidate will combine strong coding abilities with hands-on data center experience to build scalable reliability services, optimize system performance, and minimize downtime,including close partnership with facility operations to address physical infrastructure impacts.

In an era where AI workloads demand near-zero downtime, this position plays a pivotal role in bridging software engineering principles with physical data center realities.

By prioritizing automation and observability, team members in this role can reduce mean time to recovery (MTTR) by up to 50% through proactive monitoring and automated remediation, based on industry benchmarks from high-scale environments like those at hyperscale cloud providers.

Responsibilities:

• Design, develop, and deploy scalable code and services (primarily in Python and Rust, with flexibility for emerging languages) to automate reliability workflows, including monitoring, alerting, incident response, and infrastructure provisioning.

• Implement and maintain observability tools and practices, such as metrics collection, logging, tracing, and dashboards, to provide real-time insights into system health across multiple data centers,open to innovative stacks beyond traditional ones like ELK.

• Collaborate with cross-functional teams,including software development, network engineering, site operations, and facility operations (critical facilities, mechanical/electrical teams, and data center infrastructure management),to identify reliability bottlenecks, automate solutions for fault tolerance, disaster recovery, capacity planning, and physical/environmental risk mitigation (e.g., power redundancy, cooling efficiency, and environmental monitoring integration).

• Troubleshoot and resolve complex issues in data center environments, including hardware failures, environmental anomalies, software bugs, and network-related problems, while adhering to reliability principles like error budgets and SLAs.

• Optimize Linux-based systems for performance, security, and reliability, including kernel tuning, container orchestration (e.g., Kubernetes or emerging alternatives), and scripting for automation.

• Understand network topologies and concepts in large-scale, multi-data center environments to effectively troubleshoot connectivity, routing, redundancy, and performance issues; integrate observability into data center interconnects and facility-level controls for rapid diagnosis and automation.

• Participate in on-call rotations, post-incident reviews (blameless postmortems), and continuous improvement initiatives to enhance overall site reliability, including joint exercises with facility teams for physical failover and recovery scenarios.

• Mentor junior team members and document processes to foster a culture of automation, knowledge sharing, and adaptability to new technologies.

Basic Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related technical field (or equivalent professional experience).

• 5+ years of hands-on experience in site reliability engineering (SRE), infrastructure engineering, DevOps, or systems engineering, preferably supporting large-scale, distributed, or production environments.

• Strong programming skills with proven production experience in Python (required for automation and tooling); experience with Rust or willingness to work in Rust is a plus, but strong coding fundamentals in at least one systems-level language (e.g., Python, Go, C++) are essential.

• Solid experience with Linux systems administration, performance tuning, kernel-level understanding, and scripting/automation in production environments.

• Practical knowledge of containerization and orchestration technologies, such as Docker and Kubernetes (or similar systems).

• Experience implementing observability solutions, including metrics, logging, tracing, monitoring tools (e.g., Prometheus, Grafana, or alternatives), alerting, and dashboards.

• Familiarity with troubleshooting complex issues in distributed systems, including software bugs, hardware failures, network problems, and environmental factors.

• Understanding of networking fundamentals (TCP/IP, routing, redundancy, DNS) in large-scale or multi-site environments.

• Experience participating in on-call rotations, incident response, post-incident reviews (blameless postmortems), and reliability practices such as error budgets or SLAs.

• Ability to collaborate effectively with cross-functional teams (software engineers, network teams, site/facility operations, mechanical/electrical teams).

Preferred Skills and Experience:

• 7+ years of experience in SRE or infrastructure roles, ideally in hyperscale, cloud, or AI/ML training infrastructure environments with multi-data center setups.

• Hands-on experience operating or scaling Kubernetes clusters (or equivalent orchestration) at large scale, including automation for provisioning, lifecycle management, and high-availability.

• Proficiency in Rust for systems programming and performance-critical components.

• Direct experience integrating software reliability tools with physical data center infrastructure.

• Experience with observability tools and practices, such as metrics collection, logging, tracing, and dashboards.

• Familiarity with containerization and orchestration technologies, such as Docker and Kubernetes (or similar systems).

• Experience with Linux systems administration, performance tuning, kernel-level understanding, and scripting/automation in production environments.

• Understanding of networking fundamentals (TCP/IP, routing, redundancy, DNS) in large-scale or multi-site environments.

• Experience participating in on-call rotations, incident response, post-incident reviews (blameless postmortems), and reliability practices such as error budgets or SLAs.

• Ability to collaborate effectively with cross-functional teams (software engineers, network teams, site/facility operations, mechanical/electrical teams).

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This role focuses on building, deploying, and managing internal Windows and Linux infrastructure while collaborating with other teams to develop scalable solutions.

Responsibilities:

• Building, managing, and supporting complex application stacks on Windows and Linux Servers.
• Providing Windows and Linux troubleshooting and technical support.
• Deploy, configure and support VMware technologies, including vCenter, ESX and Horizon.
• Use Puppet Enterprise to automate and manage configurations.
• Working with other engineering teams and third-party vendors to implement scalable solutions.
• Ensuring compliance by collaborating with internal audit and compliance teams.
• Developing and maintaining standard operating procedures.
• Participating in a 24/7 on-call support rotation.
• Managing and monitoring all installed Windows and Linux systems and infrastructure.
• Installing, configuring, testing, and maintaining operating systems and system management tools.
• Proactively ensuring high levels of system availability and reliability.
• Monitoring and optimizing application performance, identifying bottlenecks, and collaborating with developers to implement solutions.
• Writing and maintaining custom scripts to improve system efficiency and automation.

Required Qualifications:

• Deep understanding of infrastructure management and automation
• 3 to 5 years of experience in the following:
• Systems Engineering for Corporate Infrastructure.
• Managing large-scale Windows and Linux server environments.
• Virtualization at scale.
• Configuration Management.
• Managing scalable storage solutions, preferably NetApp.
• Developing and maintaining performance metrics for systems.
• Strong understanding of Puppet Enterprise and Puppet Open Source.
• Strong understanding of basic networking concepts.
• Proficient with using Puppet to automate and manage configurations.
• Ability to translate business needs into technical solutions.
• Outstanding analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Experience writing technical design documents and maintaining documentation.
• Familiarity with working in a source-controlled environment.
• Proficiency in scripting languages such as Bash, Python, or Perl.
• Experience with VMware services, including VMware data center virtualization and VMware Horizon.

Basic Qualifications:

• Familiarity with DevOps practices and CI/CD tools.
• Knowledge of orchestration tools.

Compensation and Benefits:

$162,000 - $226,000

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

ITAR Requirements:

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

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Your work will be at the intersection of security, distributed systems, and product engineering, helping build trusted payments infrastructure from the ground up.

Responsibilities

• Design and implement fraud detection and prevention systems that operate at global scale and low latency
• Develop risk scoring engines, anomaly detection pipelines, and real-time enforcement mechanisms
• Collaborate with product, compliance, X Money, Fraud Prevention, and infrastructure teams to ensure a secure and seamless user experience
• Monitor and analyze fraud trends, and proactively respond to new attack vectors
• Define engineering standards around observability, reliability, and rapid response in fraud-related systems

Basic Qualifications

• 7+ years of backend or systems engineering, with exposure to fraud, risk, or abuse prevention systems preferred
• Skilled in distributed systems: You've built resilient, high-throughput systems that operate under real-time constraints
• Security-conscious: You understand threat models, data sensitivity, and defense-in-depth principles
• Analytical and pragmatic: You value simple, high-leverage solutions and adapt quickly to evolving challenges
• Builder mentality: You're excited by zero-to-one problems and proven ability to thrive in fast-paced environments. You are willing to work hard.

Bonus

• Experience with real-time anomaly detection, machine learning for fraud, or rule-based risk systems
• Familiarity with AML/KYC regulations, chargeback flows, or identity verification systems
• Experience in fintech, trust & safety, or adversarial system design
• Comfortable working in a zero-to-one environment with rapid iteration
• Experience with: Golang, Postgres, Kafka, Memcached

Compensation and Benefits

$180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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The engineer will drive mission system architectures, lead requirement development and allocation, and oversee system integration from concept through flight test and fielding.

Key responsibilities include leading system architecture and requirements development and integration for communications, payloads, avionics, and weapons integration, serving as a technical subject matter expert for mission processing and architectures across the aircraft program, writing system specifications for acquiring hardware and software from vendors for mission processing and storage subsystems, driving trade studies and system-of-systems analysis to balance performance, cost, and schedule, overseeing integration and test campaigns, from bench-level hardware-in-the-loop (HIL) to flight test, ensuring compliance with MIL-HDBK-516C, DO-178C, DO-254, and related standards, collaborating with program management to de-risk architectures and ensure technical maturity gates are met, and interfacing with customers, partners, and suppliers to align system requirements and certifications.

In this role, the engineer will be responsible for delivering complex systems to fielded capability, leading multidisciplinary teams, and briefing technical findings to executives and customers.

The ideal candidate will have a B.S. in Aerospace Engineering, Electrical Engineering, Systems Engineering, or related field, 8+ years of relevant aerospace/defense experience, with at least 5 years in mission systems integration, demonstrated experience with aircraft payloads, avionics, and/or weapons integration, demonstrated experience with line-of-sight and beyond line-of-sight aircraft communications systems and components, working knowledge of Government modular open system approach (MOSA) standards to include open mission systems (OMS), Government Reference Architectures (GRA), or modular avionics standards, proven ability to lead multidisciplinary teams and deliver complex systems to fielded capability, strong knowledge of systems engineering processes and product development lifecycle, familiarity with DO-178C/DO-254 certification requirements for software and hardware, excellent communication skills, and active Secret clearance with the ability to obtain a Top Secret clearance.

Preferred qualifications include a Master's or PhD in Aerospace, Systems, or Electrical Engineering, hands-on experience with flight test operations and mission system validation, direct experience integrating advanced sensors, autonomy, AI-enabled payloads, or guided weapons, background in model-based systems engineering (MBSE) and SysML tools, strong knowledge of current aircraft mission systems vendors and capabilities, and active DoD Top Secret clearance.

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This position requires a deep understanding of aerospace systems engineering, autonomy, and complex system integration. You will work cross-functionally with teams in hardware, software, autonomy, flight operations, and manufacturing to develop a scalable, mission-ready platform capable of operating in contested environments.

Key responsibilities include:

• Performing system architecture & design: Developing and refining the system architecture for the next gen UAS, ensuring seamless integration of avionics, autonomy, propulsion, sensor payloads, and mission systems.

• Defining and documenting system-level behavior, including modes, states, transitions, and fault responses.

• Supporting safety analyses (FHA, FMEA, FTA) by defining behavior under fault conditions.

• Defining and managing system requirements: Establishing top-level requirements, decomposing them into subsystems, and maintaining traceability across the development lifecycle.

• Autonomy & AI integration: Working closely with autonomy and software teams to integrate AI-driven flight control, decision-making, and mission execution capabilities.

• Model-Based Systems Engineering (MBSE): Utilizing SysML, DOORS, or other MBSE tools to create digital system models, conduct trade studies, and optimize system performance.

• Risk management & trade studies: Conducting trade studies to evaluate design alternatives, assess technical risks, and ensure the best engineering solutions for mission effectiveness.

• Stakeholder & customer engagement: Working closely with DoD stakeholders, industry partners, and government agencies to align system capabilities with operational requirements.

• Cross-functional collaboration: Partnering with hardware, autonomy, software, propulsion, and flight operations teams to drive seamless system integration and rapid development cycles.

Required qualifications include:

• 10+ years of experience in systems engineering for aerospace, defense, or autonomous aircraft systems.

• Demonstrated experience defining system behavior logic and operational modes.

• Deep expertise in system architecture, avionics integration, and autonomy-driven flight systems.

• Proficiency in MBSE, DOORS, SysML, CAMEO, or similar system modeling tools for complex systems design and analysis.

• Experience with Group 4 or Group 5 UAS, military aircraft, or autonomous airborne platforms.

• Strong background in flight testing, system integration, and performance validation.

• Knowledge of DoD acquisition processes, MIL-STDs, FAA airworthiness certification, and airborne system safety standards.

• Demonstrated ability to lead cross-functional teams and drive complex projects to successful completion.

Preferred qualifications include:

• Experience developing AI-driven autonomy for unmanned aircraft.

• Expertise in ISR, EW, and advanced sensor integration for airborne platforms.

• Familiarity with modular open system architectures (MOSA) and Government Reference Architectures (GRA) for defense applications.

• Prior experience working with defense primes, DoD stakeholders, or government R&D programs.

• Active Secret or Top Secret clearance (or ability to obtain one).

Salary: $180,000 - $270,000 a year

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This position requires a strong working knowledge of military operations, modeling & simulation (M&S), data science, and operational analysis techniques. Your analyses will directly support product decisions and customer engagements by helping demonstrate how Shield AI's AI-powered platforms perform in realistic and contested operational environments.

Key responsibilities include:

• Executing operational analyses to assess the effectiveness of autonomous systems in representative military scenarios.
• Developing and running modeling, simulation, and wargaming analyses to evaluate system performance, mission impact, and survivability in contested environments.
• Collaborating with engineering teams and product managers to translate operational findings into actionable system insights.
• Performing trade studies and sensitivity analyses to assess system performance across varying operational conditions, assumptions, and threat environments.
• Building, modifying, and analyzing mission-level models using tools such as AFSIM, STK, MATLAB, Python, or similar M&S frameworks.
• Analyzing force-on-force engagements, sensor performance, and autonomy-enabled behaviors to support mission effectiveness assessments.
• Engaging with DoD stakeholders, operators, and analysts to understand mission needs and operational constraints.
• Contributing to the development and refinement of concepts of operations (CONOPS) for AI-enabled aircraft capabilities.
• Monitoring emerging threats and operational challenges relevant to autonomous and air combat systems.
• Preparing technical documentation, analysis reports, and briefings for internal teams, customers, and government stakeholders.

Required qualifications include:

• Bachelor's degree in science, technology, engineering, or math domain.
• 7+ years of experience in operational analysis, modeling & simulation, operations research, or related defense or aerospace roles.
• Active Secret at minimum, preferred active Top-Secret clearance (or ability to obtain one).

Preferred qualifications include:

• Prior experience in force-on-force analysis, CONOPS development, or military campaign modeling.
• Expertise in applicable design reference mission development such as OCA or SEAD.
• Familiarity with DoD acquisition processes, tools (Brawler, ESAMS, etc.), Joint Capabilities Integration and Development System (JCIDS), and military operational testing.
• DoD Program experience as analysis task lead.
• Prior experience in systems engineering product development lifecycle (SysML or MBSE preferred).
• Expertise providing program critical analysis for system design and integration/test.

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Key responsibilities include:

• Developing mission systems requirements and architectures to ensure overall system effectiveness
• Selecting mission system baselines through make vs buy trades and vendor engagements
• Developing the integration & test verification plan to include resources from bench-level hardware-in-the-loop (HIL) to flight test
• Defining mission system software architectures including baseline processing and advanced algorithm development
• Driving trade studies and system-of-systems analysis to balance performance, cost, and schedule
• Serving as a technical subject matter expert for mission systems engineering across the aircraft program
• Ensuring compliance with MIL-HDBK-516C, DO-178C, DO-254, and related standards
• Collaborating with program management to de-risk architectures and ensure technical maturity gates are met
• Interfacing with customers, partners, and suppliers to align system requirements and certifications

The ideal candidate will have a B.S. in Aerospace Engineering, Electrical Engineering, Systems Engineering, or related field, and 15+ years of relevant aerospace/defense experience, with at least 5 years in aircraft mission systems integration.

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This position requires a strong working knowledge of military operations, modeling & simulation (M&S), data science, and operational analysis techniques. Your analyses will directly support product decisions and customer engagements by helping demonstrate how Shield AI's AI-powered platforms perform in realistic and contested operational environments.

Responsibilities:

• Plan, own and execute operational analyses to assess the effectiveness of autonomous systems in representative military scenarios.
• Develop and run modeling, simulation, and wargaming analyses to evaluate system performance, mission impact, and survivability in contested environments.
• Collaborate with engineering teams and product managers to translate operational findings into actionable system insights.
• Perform trade studies and sensitivity analyses to assess system performance across varying operational conditions, assumptions, and threat environments.
• Build, modify, and analyze mission-level models using tools such as AFSIM, STK, MATLAB, Python, or similar M&S frameworks.
• Analyze force-on-force engagements, sensor performance, and autonomy-enabled behaviors to support mission effectiveness assessments.
• Engage with DoD stakeholders, operators, and analysts to understand mission needs and operational constraints.
• Contribute to the development and refinement of concepts of operations (CONOPS) for AI-enabled aircraft capabilities.
• Monitor emerging threats and operational challenges relevant to autonomous and air combat systems.
• Prepare technical documentation, analysis reports, and briefings for internal teams, customers, and government stakeholders.
• Apply modern compute and development best practices (e.g., version control, scripting, scalable compute workflows, and reproducible analysis) to build and maintain reliable analysis pipelines.
• Be a force multiplier by coaching and developing incoming talent.

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The engineer will drive mission system architectures, lead requirement development and allocation, and oversee system integration from concept through flight test and fielding. They will ensure that payloads, avionics, and weapons are seamlessly integrated into the aircraft while meeting mission performance, safety, airworthiness, and compliance objectives.

Key responsibilities include leading system architecture and requirements development and integration for payloads, avionics, and weapons integration, serving as a technical subject matter expert for mission systems engineering across the aircraft program, driving trade studies and system-of-systems analysis to balance performance, cost, and schedule, overseeing integration and test campaigns, from bench-level hardware-in-the-loop (HIL) to flight test, and ensuring compliance with MIL-HDBK-516C, DO-178C, DO-254, and related standards.

The ideal candidate will have a B.S. in Aerospace Engineering, Electrical Engineering, Systems Engineering, or related field, 8+ years of relevant aerospace/defense experience, with at least 5 years in mission systems integration, demonstrated experience with aircraft payloads, avionics, and/or weapons integration, and working knowledge of Government modular open system approach (MOSA) standards to include open mission systems (OMS), Government Reference Architectures (GRA) or modular avionics standards.

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This role partners closely with propulsion engineers and technicians to coordinate development activities across engine hardware, fuel systems, fluid systems, test campaigns, and integration with the aircraft.

You will work alongside the propulsion engineering team and applicable suppliers to ensure technical work progresses in alignment with vehicle-level milestones, schedules, and program objectives.

The ideal candidate has an engineering background but thrives in bringing teams together, removing obstacles, and staying hands-on when necessary to ensure success.

Responsibilities:

• Partner with propulsion engineers and Responsible Engineers (REs) to plan and execute propulsion development activities across engine hardware, subsystems, and testing.

• Drive propulsion program schedules and ensure alignment with vehicle-level milestones and flight readiness objectives.

• Coordinate work across propulsion, design, fluids, controls, airframe, manufacturing, supply chain, and flight test teams.

• Track technical progress, identify risks, and drive mitigation plans to maintain schedule and performance targets.

• Manage propulsion-related suppliers and external partners, including schedule tracking, technical coordination, and delivery performance.

• Translate complex technical work into clear program status, risks, and actions for leadership and stakeholders.

• Facilitate technical reviews, program checkpoints, and cross-team integration discussions.

• Support propulsion test campaigns and development programs by coordinating resources, schedules, and deliverables.

• Drive accountability and measurable outcomes while maintaining strong collaboration with engineering teams.

Required qualifications:

• Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, Systems Engineering, or related field.

• 7+ years of experience in technical program management or engineering leadership in aerospace or complex hardware development environments.

• Experience coordinating cross-functional engineering teams to deliver complex technical systems.

• Strong understanding of engineering development cycles, hardware testing, and system integration.

• Demonstrated ability to manage schedules, technical risks, and program execution in fast-paced environments.

• Experience working with suppliers and managing external development partners.

• Strong communication skills and ability to translate technical work into program-level execution plans.

• U.S. Citizenship or ability to comply with ITAR requirements.

Preferred qualifications:

• Prior experience working directly with propulsion systems, fluid systems, or aerospace hardware development programs.

• Background supporting test-driven development programs, including hardware build, integration, and flight testing.

• Experience with UAV, tactical aircraft, or propulsion system development programs.

• Familiarity with program management tools such as JIRA, Smartsheet, or similar planning tools.

• Demonstrated ability to operate in high-ownership, hardware-centric engineering environments.

• Advanced degree in engineering (M.S.) is a plus.

Salary: $150,000 - $220,000 a year

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This position is ideal for a mechanical or aerospace engineer with a passion for cutting-edge aircraft design, multi-disciplinary systems integration, and iterative prototyping in a fast-paced defense technology environment.

Responsibilities:

Assist in the conceptual and preliminary design of Shield AI's UAV platforms, ensuring optimal aerodynamic and structural configurations. Support aircraft sizing, weight estimation, and trade studies to evaluate different airframe configurations. Work with multi-disciplinary engineering teams (mechanical, electrical, propulsion, avionics) to ensure seamless system integration. Develop and refine 3D CAD models of aircraft structures, subsystems, and flight-critical components. Perform basic aerodynamic and structural analysis using computational tools to assess feasibility and performance impacts. Participate in design reviews, system trade studies, and prototype development efforts. Support rapid prototyping and wind tunnel testing of scaled models to validate design concepts. Assist in requirements development, documentation, and verification planning for aircraft subsystems. Ensure designs comply with manufacturing feasibility, mission requirements, and aerospace industry standards. Work closely with manufacturing and production teams to transition designs from concept to prototype and full-scale production.

Required qualifications:

Bachelor's degree in Aerospace, Mechanical, or Systems Engineering (or related field). 5 years of experience in aircraft design, configuration layout, or airframe integration. Proficiency in CAD modeling (NX, SolidWorks, or similar) for airframe and structural design. Basic understanding of aircraft aerodynamics, structures, and propulsion system integration. Ability to perform basic FEA, CFD, or weight & balance assessments. Strong problem-solving skills, attention to detail, and ability to work in cross-functional teams. Excellent communication and technical documentation skills. Active Secret clearance

Preferred qualifications:

Master's degree in Aerospace, Mechanical, or Systems Engineering (or related field). Experience with unmanned aerial vehicle (UAV) design or aircraft conceptual design. Familiarity with aircraft performance modeling, stability & control, and flight dynamics. Hands-on experience with rapid prototyping, wind tunnel testing, or flight hardware development. Knowledge of manufacturing techniques, composite materials, and aerospace structural design principles. Experience working in a fast-paced, high-tech startup or defense environment. Active TS clearance or ability to gain a TS clearance.

$136,730 - $205,096 a year

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As a Staff Thermal Engineer, you will contribute to thermal analysis and design efforts for unmanned aerial vehicle avionics and thermal/fluid systems. You will develop and validate analytical, numerical, and computational models for heat transfer and fluid flow using hand calculations and CFD tools such as FloEFD. You will drive test planning, instrumentation, and data analysis to correlate models with experimental results.

Key responsibilities include:

• Contributing to thermal analysis and design efforts for unmanned aerial vehicle avionics and thermal/fluid systems
• Developing and validating analytical, numerical, and computational models for heat transfer and fluid flow using hand calculations and CFD tools such as FloEFD
• Driving test planning, instrumentation, and data analysis to correlate models with experimental results
• Communicating technical findings clearly through executive-level briefings, design reviews, and written reports

Requirements include:

• B.S. in Mechanical Engineering, Aerospace Engineering, or related discipline
• Minimum 7 years of professional experience in avionics or electronics thermal engineering
• Strong expertise in heat transfer (conduction, convection, radiation) and fluid mechanics
• Deep understanding of active and passive cooling solutions and their integration at component and system level
• Proficiency with thermal analysis and CFD tools (e.g., ANSYS Icepak, FloEFD, STAR-CCM+)
• Proficiency with CAD design tools such as NX, SolidWorks, or similar
• Demonstrated experience applying first-principles reasoning to complex engineering problems
• Strong written and verbal communication skills, with a track record of leading technical discussions and presenting to stakeholders

Preferred qualifications include:

• M.S. or Ph.D. in a relevant engineering discipline
• Experience with high-altitude aircraft avionics cooling and thermal design
• Familiarity with aircraft integration constraints (power, weight, volume, maintainability, safety)
• Hands-on experience with thermal and fluid system testing, instrumentation, and validation
• Knowledge of materials and manufacturing methods relevant to thermal management (pumps, heat exchangers, composites, etc.)
• Experience guiding trade studies, proposals, and customer interactions in aerospace or defense programs
• Background in multi-disciplinary system integration, spanning avionics, fluid systems, and systems engineering

Salary: $136,730 - $205,096 a year

Benefits: Pay within range listed + Bonus + Benefits + Equity

Note: Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location.

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This role ensures the Chief Engineering team is equipped, aligned, and empowered to define scope, remove technical blockers, manage cross-functional dependencies, identify integration issues, and prevent technical debt before it materializes. The Director drives consistency in how Chief Engineers balance technical rigor, risk, schedule, and cost in close partnership with Program Management.

Team Leadership and Development:

• Manage, mentor, and grow the team serving as project technical authorities on Hivemind Solutions projects
• Set clear expectations for ownership, decision velocity, and accountability
• Coach on cross-functional influence, executive communication, and customer-facing leadership
• Conduct performance reviews and career development planning

Functional Excellence:

• Establish and improve Chief Engineering standards, tools, and best practices, including in the areas of scope definition, trade management, technical risk identification and management, project execution, technical integration and problem solving
• Drive lessons learned and continuous improvement initiatives

Technical Alignment:

• Ensure projects maintain a consistent system-level view through integration of project inputs from all applicable engineering disciplines including Flight Systems Integration, Test, Infrastructure, etc
• Identify interface risks, integration gaps, and technical debt early and prevent downstream churn
• Promote disciplined decision-making that considers cross-functional interdependencies
• Facilitate technical alignment through design reviews

Program Manager Partnership:

• Ensure Chief Engineers actively assess the impact of technical decisions on risk, schedule, and cost
• Create clear escalation paths for cross-project technical conflicts
• Ensure technical risks are surfaced, documented, and mitigated
• Reinforce the expectation that Chief Engineers proactively steer projects
• Support proposal development, estimating, and resource planning, coordinating cross-discipline Engineering inputs as a single voice for Engineering to the project

Culture:

• Build a collaborative culture where teams are empowered to move fast while remaining technically rigorous
• Foster a culture of accountability and continuous improvement, reinforcing extreme ownership of outcomes
• Develop a culture of integrators, listeners, organizers, motivators, and communicators
• Promote clarity in technical communication and decision rationale

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The engineer will drive mission system architectures, lead requirement development and allocation, and oversee system integration from concept through flight test and fielding. They will ensure that payloads, avionics, and weapons are seamlessly integrated into the aircraft while meeting mission performance, safety, airworthiness, and compliance objectives.

Responsibilities:

• Lead system architecture and requirements development and integration for payloads, avionics, and weapons integration
• Serve as a technical subject matter expert for mission systems engineering across the aircraft program
• Drive trade studies and system-of-systems analysis to balance performance, cost, and schedule
• Oversee integration and test campaigns, from bench-level hardware-in-the-loop (HIL) to flight test
• Ensure compliance with MIL-HDBK-516C, DO-178C, DO-254, and related standards
• Collaborate with program management to de-risk architectures and ensure technical maturity gates are met
• Interface with customers, partners, and suppliers to align system requirements and certifications

Qualifications:

• B.S. in Aerospace Engineering, Electrical Engineering, Systems Engineering, or related field
• 8+ years of relevant aerospace/defense experience, with at least 5 years in mission systems integration
• Demonstrated experience with aircraft payloads, avionics, and/or weapons integration
• Demonstrated experience with line-of-sight and beyond line-of-sight aircraft communications systems and components
• Working knowledge of Government modular open system approach (MOSA) standards to include open mission systems (OMS), Government Reference Architectures (GRA) or modular avionics standards
• Proven ability to lead multidisciplinary teams and deliver complex systems to fielded capability
• Strong knowledge of systems engineering processes and product development lifecycle
• Familiarity with DO-178C/DO-254 certification requirements for software and hardware
• Excellent communication skills and ability to brief technical findings to executives and customers
• Active Secret clearance and have the ability to obtain a Top-Secret clearance

Preferred Qualifications:

• Master’s or PhD in Aerospace, Systems, or Electrical Engineering
• Hands-on experience with flight test operations and mission system validation
• Direct experience integrating advanced sensors, autonomy, AI-enabled payloads, or guided weapons
• Background in model-based systems engineering (MBSE) and SysML tools
• Strong knowledge of current aircraft mission systems vendors and capabilities
• Active DoD Top Secret clearance

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In this role, you will collaborate closely with programmatic leadership to determine the appropriate System Engineering level of effort, System Design Teams to decompose solution designs to actionable levels of detail, and System Development & Test to define system architectures.

Key responsibilities include:

• Defining end-to-end system requirements, from solution level to specific implementations of software
• Supporting the design & development process for the software system architecture
• Using MBSE tools to document, maintain & extend existing architecture in support of new integrations & capabilities
• Developing and maintaining models using Unified Modeling Language (UML), Systems Modeling Language (SysML), and/or Unified Profile for DoDAF/MODAF (UPDM)
• Collaborating with SMEs for improved tooling and connection to code for automated system models
• Leading cross-functional teams on projects
• Collaborating to define implementations of the systems engineering processes
• Engaging cross functionally with product management, program management, mechanical engineering, embedded engineering, business development, and other company leaders
• Reporting status, risks, accomplishments, expectations to senior leadership

Required qualifications include:

• A minimum of 5 years of systems engineering or related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience
• B.S. degree in a STEM discipline (e.g., Software, Aerospace, Mechanical, Electrical, Systems Engineering)
• Experience with Systems Engineering practices and principals, including writing, organizing, and verifying requirements
• Experience with MBSE and related efforts
• Experience working in cross-functional teams
• Excellent communication skills, both written and verbally
• Organized and methodical
• Software engineer experience in C++ and/or Python
• Experience in reading, interpreting, and applying engineering drawings, including assembly drawings, parts lists, wiring diagrams, and schematics
• Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
• The ability to obtain and maintain a US Security Clearance. US citizenship is required as only US citizens are eligible for a security clearance

Preferred qualifications include:

• Expertise with MBSE, inclusive of use of Cameo API and Velocity Template Language (VTL)
• Expertise with Requirement & Design decomposition
• Experience in any/all of the following: Autonomy, Aircraft, Unmanned Vehicles

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Your primary focus will be on validating the performance of autonomy and flight control software, ensuring that our systems meet the required standards. You will write test analyzers in Python to report and benchmark performance and qualification metrics of the system, produce test coverage and release-readiness reports, and recommend improvements to our simulation models and fault injection.

To succeed in this role, you will need 5+ years of work experience in testing complex integrated software systems, demonstrated expertise in test automation, and strong experience with the software product development lifecycle. A B.S., M.S, or PhD degree in Systems Engineering, Software Engineering, Computer Science, or a related field is also required.

In addition to a competitive salary ranging from $110,000 to $170,000 per year, you will receive a bonus, benefits, and equity as part of our full-time regular employee offer package.

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The Hivemind Enterprise product is a software development kit (SDK) that enables scalable design, deployment, evaluation, and iteration of autonomy architectures for a wide range of robotic platforms.

As a Systems Modeler for Hivemind at Shield AI, you will be a key member of a multidisciplinary Systems Engineering team, working collaboratively with Product, technical individual contributors, and Test / Quality Assurance team members to define, model, and communicate the structure and behavior of complex autonomy software systems.

This role focuses on building and maintaining system models that span the full product stack,from foundational software and autonomy algorithms to developer infrastructure to user-facing interfaces.

In addition to modeling the Hivemind SDK product, you will also use your skills to help us improve our internal engineering processes, modeling the design of the systems that support product development such as CI/CD pipelines, test and configuration systems, and software and product life cycle processes.

While your primary focus will be systems modeling, as part of a full Systems Engineering team, you will also support your team members as needed by helping with functions such as requirements development.

This role is hands-on and highly collaborative, requiring deep expertise in systems modeling and Model-Based Systems Engineering (MBSE), strong software system intuition, and working knowledge of autonomous software pipelines.

As a Systems Modeler on the Hivemind team, you will help create a shared, rigorous understanding of one of Shield AI’s most complex and critical software products.

Your models will shape architecture decisions, enable cross-team alignment, and ensure that Hivemind continues to scale as a robust autonomy platform.

WHAT YOU'LL DO:

System modeling and MBSE: Develop and maintain high-quality system models that describe architecture, behavior, interfaces, and data flows across the Hivemind SDK.

Cross-stack system understanding: Work closely with engineers across the entire product stack,including foundational software, autonomy and AI algorithms, simulation and test infrastructure, and GUI layers,to capture an accurate and fully detailed model of the Hivemind SDK product.

Process and lifecycle modeling: Model internal engineering processes such as software development lifecycle workflows, CI/CD pipelines, testing and release processes, and configuration management to improve shared understanding and enable continuous improvement.

Architecture definition and analysis: Support system architecture trade studies, identify dependencies and constraints, and analyze impacts of design decisions across software components, development workflows, and operational use cases.

Requirements support: Ensure alignment and traceability between requirements and system models.

Communication and documentation: Use system models as a primary communication artifact to align stakeholders, surface risks and gaps, and enable informed technical decision-making across teams.

REQUIRED QUALIFICATIONS:

• Bachelor’s degree with approximately 7+ years of relevant experience, or Master’s degree with approximately 5+ years of relevant experience, in Systems Engineering, Aerospace Engineering, Robotics, Software Engineering, or a closely related technical field with demonstrated experience working on complex software or autonomous systems.

• Strong experience with MBSE practices, including practical application of SysML v1.6 and familiarity with SysML v2 concepts.

• Hands-on experience with Cameo Systems Modeler or equivalent MBSE tools.

• Proven ability to understand, model, and reason about large-scale autonomy software systems and developer-focused SDKs.

• Strong understanding of modern software engineering practices, including CI/CD, automated testing, configuration management, and software lifecycle processes.

• Experience working cross-functionally with software engineers, autonomy / AI engineers, test engineers, product managers, and UX / GUI teams.

• Familiarity with requirements engineering concepts (e.g., requirement quality, traceability, validation) and willingness to contribute to requirements writing when needed.

• Familiarity with software development workflows in modern languages (C++17 or later, Python, Go, etc.).

PREFERRED QUALIFICATIONS:

• Prior experience modeling autonomy or robotic systems.

• Experience supporting or defining developer tooling, SDKs, or platforms.

• Exposure to safety-critical or mission-critical software development environments.

• Experience using system models to drive reviews, design milestones, or technical decision forums.

• Experience creating software tooling. For example, scripts to import information into Cameo.

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In this role, you will collaborate closely with programmatic leadership to determine the appropriate System Engineering level of effort, System Design Teams to decompose solution designs to actionable levels of detail, and System Development & Test to define system architectures.

Key responsibilities include capturing end-to-end system requirements, supporting the design & development process for system architecture, and using MBSE tools to document, maintain & extend existing architecture in support of new integrations & capabilities.

You will also develop and maintain models using Unified Modeling Language (UML), Systems Modeling Language (SysML), and/or Unified Profile for DoDAF/MODAF (UPDM), and collaborate with SMEs for improved tooling and connection to code for automated system models.

Additionally, you will engage cross-functionally with product management, program management, engineering, business development, and other company leaders, and report status, risks, accomplishments, expectations to senior leadership.

Required qualifications include a minimum of 7 years of systems engineering or related experience with a Bachelor’s degree, or equivalent work experience.

Preferred qualifications include expertise with MBSE, inclusive of use of Cameo API and Velocity Template Language (VTL), and experience in autonomy, aircraft, unmanned vehicles.

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You will be responsible for planning and managing the schedule, cost, development, and delivery of strategic products to customers. This role requires a versatile individual who can understand the aviation autonomy market and empathize with users, plan and manage a complex software development program, and make difficult and informed decisions regarding integrated hardware, software, and systems engineering efforts.

Responsibilities:

• Coordinate engineering execution and operations hand-offs to crush schedule, cost, performance objectives.
• Establish clear objectives: Work closely with product managers, and technical leads to establish clear objectives traceable to mission impact, strategic impact, financial outcomes, and program objectives.
• Project Management: Define project plans including milestones, timelines, and interdependencies. Estimate, allocate, and track resources. Establish efficient and effective battle rhythm for communication, coordination, decision making, quality control, and work-product delivery
• Drive Timely, High Quality, Critical Decisions: While TPMs aren't expected to design systems, they shall possess a strong technical understanding to drive the process of swift, rigorous, good technical decision making.
• Communicate with excellence: Ensure stakeholders with dependencies are aware of status, milestones, and any challenges. Ensure suppliers understand stakes, intent, and expectations.
• Empower the team: Obsess over whether your teams are empowered with a) the time, information, and tools to be effective b) clear and appropriate accountability, authority, and resourcing c) effective, efficient, swift processes and policies. Destroy obstacles to progress – anything that diminishes the capabilities of the team.
• Deliver outcomes: Oversee and material contribute to the curation and creation of technical documentation to ensure engineering outputs are properly delivered to “customer” organizations. RTM packages, Work Instructions, Engineering Change Orders, Service Bulletins, Flight Crew Information Files, Flight Manuals and Service Manuals.
• Collaborate and coordinate with HMS personnel and teams at other international locations.

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The ideal candidate brings experience securing aerospace or defense products and approaches compliance as an enabler of mission success. This role emphasizes practical, engineering-driven security decisions that balance regulatory requirements with system performance, autonomy, and operational realities.

Responsibilities: Serve as the product security lead and ISSM for operational autonomous aircraft platforms. Own and guide RMF activities, including ATO packages, ongoing authorization, and customer security engagements Translate security and compliance requirements into product-appropriate, technically sound controls Partner closely with systems, software, hardware, and platform engineering teams throughout the product lifecycle Evaluate the security impact and operational tradeoffs of design decisions Support government and customer audits, assessments, and security reviews Contribute to the maturation of product security and compliance practices across Shield AI

Required qualifications: Experience functioning as an Information System Security Manager (ISSM) or senior ISSO for complex systems Experience securing aerospace and/or defense products Strong working knowledge of RMF, NIST 800-53, and the ATO process Enough systems engineering or technical depth to assess the reasonableness and impact of security requirements Ability to work effectively with engineering teams in fast-paced, product-driven environments Active U.S. Secret security clearance Ability to work on-site in Frisco, TX

Preferred qualifications: Active Top Secret (TS) clearance Experience with CMMC and ISO 27001 implementation or assessment Product security experience beyond enterprise IT or GRC-only roles Commercial technology experience in addition to defense Familiarity with secure development lifecycles and embedded or autonomous systems

$138,000 - $207,000 a year Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

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The Hivemind Enterprise product is a software development kit (SDK) that enables scalable design, deployment, evaluation, and iteration of autonomy architectures for a wide range of robotic platforms.

As a Requirements Engineer for Hivemind at Shield AI, you will be a key member of a multidisciplinary systems engineering team, working collaboratively with Product, technical individual contributors, Test / Quality Assurance team members, and systems modelers to translate product user stories into clear engineering requirements with testable metrics.

This role involves defining, modeling, and validating the Hivemind software system and its applications. It is hands-on and highly collaborative, requiring expertise in requirements formulation, traceability, management, systems modeling, and knowledge of autonomous software pipelines.

Responsibilities:

• Work cross-functionally with Product Managers, technical individual contributors, and Quality Assurance team members to translate high-level customer feature requests into clear, detailed technical requirements aligned with product vision and roadmap.

• Identify dependencies, constraints, edge cases, and risks within proposed product or technical requirements.

• Author clear and well-structured documentation, including acceptance criteria, traceability links, and system models.

• Collaborate with the Quality Assurance, Test, and development teams to validate that requirements are implemented correctly.

• Track and manage requirements throughout the development lifecycle.

• Serve as the point of integration between customer intent and engineering execution.

Qualifications:

• Bachelor’s degree with approximately 7+ years of relevant experience, or Master’s degree with approximately 5+ years of relevant experience, in Systems Engineering, Aerospace Engineering, Robotics, Software Engineering, or a closely related technical field.

• Extensive experience generating product and test requirements for software products.

• Working knowledge of requirements management tools such as DOORS, Jama, or Jira.

• Comprehensive understanding of robotics and autonomy concepts.

• Strong understanding of modern software engineering practices, including CI/CD, automated testing, configuration management, and software lifecycle processes.

Preferred Qualifications:

• Experience supporting or defining developer tooling, SDKs, or platforms.

• Exposure to safety-critical or mission-critical software development environments.

• Experience creating software tooling or using software APIs for common requirements and project management tools.

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Responsibilities: Proactively source hard-to-find talent across Computer Vision, Machine Learning, Robotics, Electrical, Embedded, Autonomy, and Systems Engineering Develop creative sourcing strategies using LinkedIn Recruiter, GitHub, Stack Overflow, referrals, events, and targeted research Build and maintain long-term pipelines for critical and future hiring needs Partner with recruiters and hiring managers to define search strategies and align on priorities Conduct initial screens to assess technical depth, domain expertise, and program eligibility (including defense requirements) Provide market insights and track sourcing metrics to continuously improve effectiveness Maintain accurate and organized records of sourcing activity within the ATS Track and analyze sourcing metrics including pipeline health, conversion rates, and time-to-engagement Ensure a high-quality candidate experience through thoughtful communication and timely follow-up

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Key responsibilities include advising the engineering team on applicable maritime standards and regulations, supporting reliability engineering on requirements definition and tracking, and participating in systems engineering activities.

The ideal candidate will have a Bachelor's degree in Naval Architecture, Marine Engineering, or a related field, and 5+ years of engineering experience in designing to or verifying class society rules.

Additional qualifications include strong fundamentals in core marine design principles, experience working on various vessel sizes and types, and expertise with marine standards and regulations.

In this role, you will also be responsible for performing internal audits for compliance against maritime standards, tracking and adjudicating comments received from class society reviews, and maintaining up-to-date technical documentation.

If you are a motivated and detail-oriented engineer with a passion for maritime compliance, we encourage you to apply.

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Key responsibilities include:

• Design and engineer enterprise-wide physical security systems including video surveillance, access control, intrusion detection, license plate recognition, and intercom and visitor management systems
• Architect and manage Security System environments (cameras, access control, sensors, intercoms)
• Support integrations for Single Sign-On, SCIM user provisioning, Role-based access control, and Conditional Access policies
• Collaborate with network engineers to implement QoS policies, ensure proper bandwidth planning, and maintain secure firewall rules
• Understand and support DNS, DHCP, NTP, TLS certificates, secure device enrollment, and troubleshoot Layer 1–Layer 3 network issues affecting security systems

Qualifications include:

• High school diploma or equivalent required; associate or bachelor's degree in electrical engineering, computer networking, Information Systems or a related field preferred
• 5+ years of experience in physical security systems engineering
• Hands-on experience with cameras and/or access control
• Experience integrating systems with Microsoft Entra ID (Azure AD) or similar environments

Preferred skills include knowledge of network design and function, electrical systems, and cloud environments, as well as certifications in Lenel, Verkada, CCure, Genetec, and Avigilon.

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Key responsibilities include: Developing end-to-end shipyard layouts based on throughput, product mix, and block construction strategy Defining building footprints, clear heights, bay sizing, and crane coverage Establishing square footage requirements for panel fabrication, sub-assembly, block assembly, and pre-outfitting Developing capacity and throughput models Ensuring layouts support automation-first processes Collaborating cross-functionally with engineering, operations, and finance

Required qualifications include: Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Systems Engineering, or similar 5+ years of experience in industrial facility layout or manufacturing system design Strong understanding of material flow optimization and bottleneck analysis

Preferred experience includes: Heavy manufacturing experience Greenfield facility design exposure Experience in 3D Facility modeling Familiarity with automation-enabled production systems Experience working closely with both design teams and shop-floor operations

Benefits include: Medical Insurance: Comprehensive health insurance plans covering a range of services Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care Saronic pays 100% of the premium for employees and 80% for dependents Time Off: Generous PTO and Holidays Parental Leave: Paid maternity and paternity leave to support new parents Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses Retirement Plan: 401(k) plan Stock Options: Equity options to give employees a stake in the company’s success Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

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Responsibilities:

• Design end-to-end human flow systems across physical environments (facilities, venues, campuses, events, transportation nodes, etc.)
• Architect queuing strategies (physical and digital) that optimise both actual and perceived wait times
• Identify and eliminate bottlenecks across movement, decision points, and service interactions
• Translate behavioural insights into practical, buildable system designs
• Partner with engineering, operations, facilities, and product teams to integrate human flow into system architecture
• Use data, observation, and simulation to model capacity, throughput, and edge cases
• Define principles for wayfinding, signage, pacing, and spatial cues
• Stress-test systems for peak load, abnormal conditions, and failure modes
• Document designs clearly so they can be executed, operated, and scaled
• Continuously iterate based on real-world performance and user behaviour

What Success Looks Like:

• People move through complex environments with minimal confusion or friction
• Systems handle peak demand gracefully without heroics or last-minute workarounds
• Operations teams trust and rely on your designs
• Leaders can make decisions using your models and recommendations
• Users rarely notice your work , except that “it just works”

Who You Are:

• You think in systems, not artifacts
• You are deeply curious about how people actually behave, not how plans assume they will
• You’re comfortable balancing empathy with constraints like safety, cost, and throughput
• You can move between strategy and details without losing coherence
• You communicate clearly with both technical and non-technical partners
• You’re opinionated, but evidence-driven

Qualifications:

• We care more about how you think than where you come from. Relevant backgrounds include:
  • Human Factors Engineering
  • Industrial / Systems Engineering
  • Experience Design (physical environments)
  • Operations Research
  • Architecture or Urban Planning (with operational exposure)
  • Theme parks, airports, transit systems, large venues, manufacturing, or high-scale operations

Typical qualifications:

• 7+ years designing or operating complex human-centered systems
• Experience with capacity modeling, service design, or pedestrian flow
• Familiarity with simulation tools or data-driven decision-making
• Proven ability to influence cross-functional teams without direct authority

Bonus Points:

• Experience designing systems under extreme peak loads
• Familiarity with crowd modeling or queuing theory
• Background in environments where safety is mission-critical
• Ability to prototype or test concepts quickly in the field
• A portfolio of systems you’ve designed that still work years later

Additional Information:

• Benefits: Medical Insurance, Dental and Vision Insurance, Time Off, Parental Leave, Competitive Salary, Retirement Plan, Stock Options, Life and Disability Insurance, Pet Insurance
• Saronic CCPA Notice for Candidates and California Employees: This role requires access to export-controlled information or items that require “U.S. Person” status.

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You will help ensure our systems meet rigorous technical and operational standards through detailed testing, data analysis, and cross-functional coordination. You are able to meet deadlines and achieve desired outcomes as both an individual contributor and as a part of your team.

Responsibilities

How you support the mission

• Develop deep understanding of vehicle HW and SW architecture, and how the vehicle operates as a integrated system.
• Lead planning and execution of structured field tests for vessel performance pertaining to autonomous navigation, perception, communications, and sensor integration, among other vessel functionalities.
• Diagnose and perform real-time troubleshooting of autonomy, networking, and onboard hardware or software during test events.
• Implement solutions for testing, safety of vessel operations, and system robustness to maximize efficiency.
• Own data logging and telemetry monitoring systems; ensure data integrity for post-test analysis.
• Contribute to root cause analysis (RCCA) and issue triage workflows after field anomalies, with reporting to relevant review boards to eliminate repeat issues.
• Maintain autonomous vessels and test environments, including vessel and support craft operations, through the use of telemetry tools and onboard diagnostics to enhance reliability of all equipment and products.
• Ensure testing aligns with DoD performance, compliance, and safety standards when applicable.

How you support the team

• Lead planning and execution of test cases to validate software updates, autonomy behaviors, and integrated system functionality.
• Interface with autonomy, software, hardware, and systems teams to translate product requirements into field-validated test objectives.
• Foster a collaborative and positive team environment, promoting open communication, knowledge sharing, and continuous improvement.
• Develop test procedures, checklists, and safety protocols to support repeatable and safe vessel operation and overall mission execution while eliminating process waste.
• Create post-mission reports with detailed logs, data plots, issue summaries, and engineering feedback.

Qualifications

• Basic Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 1+ years of hands-on engineering experience (design teams and previous internships qualify)
• Preferred Qualifications

• Strong problem-solving and troubleshooting skills (HW/SW) and ability to work effectively in challenging field conditions such as off-shore in open water
• Experience and knowledge of best practices in planning and execution of complex test operations involving autonomous systems
• Knowledge of networking protocols and communication systems used in autonomous vessels
• Systems engineering experience, ability to understand multi-disciplinary integrated systems
• Experience with sensor integration such as EO/IR, radar, IMU, and data processing
• Experience with integration and testing of multi-disciplinary integrated systems
• Experience with robotics, AI, or machine learning applications
• Familiarity with software development in Rust, Python, or other languages and CLI environment
• Familiarity with maritime operations
• Understanding of DoD requirements and standards for autonomous systems
• Experience working with embedded systems and real-time computing
• Job requires up to 50% travel.

Physical Demands

• Ability to certify as “fit for work” by demonstrating ability to swim and tread water
• Frequently and repetitively, lift, push and carry up to 75 lbs.
• Will be exposed to marine environments, including sun, wind, rain, cold, and saltwater spray, often for extended periods
• Must be able to operate in daylight, low-light, and night conditions using marine navigation systems and visual cues
• Ability to perform physically demanding work for extended periods of time, up to 12 hours/day
• The ability to carry 20 lbs. up and down stairs

Additional Information

This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).

Benefits

• Medical Insurance: Comprehensive health insurance plans covering a range of services
• Saronic pays 100% of the premium for employees and 80% for dependents
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care
• Saronic pays 100% of the premium under the basic plan for employees and 80% for dependents
• Time Off: Generous PTO and Holidays
• Parental Leave: Paid maternity and paternity leave to support new parents
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses
• Retirement Plan: 401(k) plan with company match
• Stock Options: Equity options to give employees a stake in the company’s success
• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage
• Pet Insurance: Discounted pet insurance options including 24/7 Telehealth helpline
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

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This role ensures full compliance with U.S. Coast Guard, international maritime regulations, and commercial charterer requirements while fostering a proactive safety culture that protects people, assets, and the environment. The Commissioning Compliance Officer will serve as the company's designated person ashore, as well as directly advising production and commercial operations leadership on risk, compliance exposure, and safety performance.

Responsibilities:

Safety Management & Culture

• Take ownership and continuously improve the company's Safety Management System (SMS) in accordance with 46 CFR Subchapter C, L, I, ISM Code, and applicable international standards.
• Champion a strong, proactive safety culture across vessels subject to commercial regulations and shore-side production and sea trial operations.
• Establish clear safety expectations, accountability standards, and leadership behaviours throughout the end of line and sea trialing team.
• Review serious marine incidents, near misses, and unsafe acts; ensure corrective actions are implemented and verified.
• Drive and ensure compliance with CAPA's, vessel safety meetings, and fleet-wide safety initiatives.

Regulatory Compliance

• Build relations and maintain compliance with USCG, ABS, BSEE, OSHA, EPA, Flag State, and applicable international regulations subject to operational needs.
• Work with Commissioning Manager to work towards creating autonomous vessel COI, then maintaining commercial use vessel inspections, and deficiency resolution.
• Maintain compliance with Subchapter C, I, L, ABS, MARPOL, STCW, SOLAS, and charter-specific requirements when they arise.
• Monitor regulatory changes and proactively assess operational impact and compliance risk.
• Act as primary point of contact for internal customers for regulatory agencies and classification societies.

Audits & Assurance

• Lead internal and external audits, including:

USCG and third-party audits

When applicable, commercial charter audits

Insurance and P&I club audits

Track audit findings, corrective actions, and close-out verification.

Develop metrics and dashboards to measure safety performance, trends, and risk exposure.

Environmental & Risk Management

• Oversee environmental compliance programs, including spill prevention, waste management, and emissions compliance.
• Support commissioning and sea trial risk assessments, job safety analyses (JSAs), and hazard identification processes.
• Collaborate with operations, engineering, and software to mitigate operational risk.
• Support incident response, emergency preparedness, and crisis management planning.

Autonomous Vessel & Software Governance

• Support governance frameworks for the development, testing, and deployment of autonomous and decision-support systems.
• Partner with engineering, software, and operations teams to ensure autonomous technologies align with maritime safety, redundancy, and fail-safe principles.
• Support software development follows controlled, auditable processes, including:

Version control and change management

Verification, validation, and testing protocols

Cybersecurity and system integrity standards

Define operational limits, human-in-the-loop requirements, and fallback procedures for autonomous and semi-autonomous operations.

Training & Competency

• Ensure vessel crews meet all training, credentialing, and medical compliance requirements.
• Partner with operations to define safety-critical competencies for officers and crew.
• Oversee safety training programs, drills, and exercises.
• Promote continuous improvement through lessons learned and best practice sharing.

Qualifications

• Required

10+ years of progressive experience in marine operations, safety, or compliance.

Extensive knowledge of vessel operations and applicable U.S. and international maritime regulations.

Demonstrated experience Subchapter I or L programs.

Proven success managing audits, regulatory inspections, and incident investigations.

Strong leadership, communication, and executive-level decision-making skills.

• Preferred

Senior mariner license or Senior USCG position.

ISM Lead Auditor certification.

Experience with autonomous, remotely operated, or highly automated maritime systems.

Familiarity with systems engineering, software assurance, and cyber risk management.

Incident Command System (ICS) or crisis management experience.

Benefits

• Medical Insurance: Comprehensive health insurance plans covering a range of services

Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care

Saronic pays 100% of the premium for employees and 80% for dependents

Time Off: Generous PTO and Holidays

Parental Leave: Paid maternity and paternity leave to support new parents

Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses

Retirement Plan: 401(k) plan

Stock Options: Equity options to give employees a stake in the company's success

Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage

Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

Additional Information

This role requires access to export-controlled information or items that require 'U.S. Person' status. As defined by U.S. law, individuals who are any one of the following are considered to be a 'U.S. Person': (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3)

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This role sits at the intersection of quantum hardware, systems engineering, and software infrastructure, ensuring that cross-disciplinary teams deliver integrated quantum systems on schedule.

As a Senior TPM, you will own the planning and execution of large technical programs that bring these components together into deployable quantum systems.

You will operate in a fast-moving deep-tech environment where many efforts are research-driven and technically ambiguous, requiring strong judgment, technical understanding, and execution discipline.

Program Leadership

• Own the end-to-end delivery of complex technical programs at the system level.
• Build and maintain program roadmaps, milestones, and integration schedules for quantum system releases.
• Drive execution across multiple engineering teams while maintaining alignment with company priorities.

Cross-Functional Execution

• Coordinate work between teams, including:
• Quantum device & fabrication
• Cryogenic, control hardware and software
• Manage dependencies and integration across the quantum computing stack.

Systems Integration

• Lead cross-team integration planning for new quantum processor generations and system deployments.
• Ensure alignment between research milestones and engineering deliverables.
• Track readiness across hardware, firmware, and software layers.

Risk & Decision Management

• Identify technical, schedule, and operational risks early.
• Facilitate data-driven decisions with engineering leadership.
• Drive resolution of cross-team blockers and competing priorities.

Operational Excellence

• Establish scalable program management practices for deep-tech R&D.
• Improve engineering planning, milestone tracking, and program reporting.
• Support leadership with clear program visibility and status reporting.

Required Qualifications

• 7+ years of experience in technical program management, engineering program management, or systems engineering.
• Experience delivering complex multidisciplinary technology programs.
• Strong understanding of hardware + software system development lifecycles.
• Demonstrated ability to lead programs across multiple specialized engineering teams.
• Exceptional communication and stakeholder management skills.
• Ability to operate effectively in ambiguous, research-driven environments.

Preferred Qualifications

• Experience in quantum computing, semiconductors, advanced hardware systems, or deep-tech startups.
• Background working with R&D organizations or research-to-product transitions.
• Experience with large-scale system integration programs.
• Familiarity with Agile or hybrid development models in hardware/software environments.
• Degree in Engineering, Physics, Computer Science, or related technical discipline

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We currently have 614 open roles

Senior Aerospace Engineer

At Ansys, Part of Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, empowering the aerospace and defense industries through advanced simulation, digital mission engineering, and systems integration.

You are a highly skilled engineering professional with a passion for aerospace innovation and digital mission engineering. Your technical expertise is matched by your commitment to collaborative problem-solving and customer success. With a strong academic background in engineering, physics, or computer science, you’ve spent years honing your abilities in simulation, systems integration, and mission analysis.

What You’ll Be Doing:

• Lead and assist in coordinating technical activities throughout the sales lifecycle, including discovery, product presentations, demonstrations, and evaluations.
• Provide technical leadership on Ansys product offerings, guiding customers to maximize sales opportunities and solution adoption.
• Act as a product expert in Digital Mission Engineering (DME) software such as Systems Tool Kit (STK) and Orbit Determination Tool Kit (ODTK), analyzing customer requirements and articulating Ansys’ value proposition.
• Develop and implement holistic system-level solutions by integrating technologies like model-based systems engineering, simulation process/data management, and design optimization.

The Impact You Will Have:

• Drive adoption of Digital Mission Engineering software within key aerospace and defense organizations, shaping future industry standards.
• Enhance customer workflows and mission success by integrating advanced simulation and systems engineering solutions.
• Strengthen Ansys’ market position by providing technical leadership and fostering long-term customer relationships.

What You’ll Need:

• Bachelor’s degree in Engineering, Physics, Computer Science, or a related field; advanced degrees preferred.
• Minimum 5 years of professional experience in an engineering software environment (BS+5, MS+3, PhD+0).
• Demonstrated use of Ansys software or knowledge of commercial process integration, optimization, systems engineering, mission simulation, PLM, PDM, SPDM, and CAD tools.

Who You Are:

• Collaborative team player with outstanding interpersonal and communication skills, fluent in English.
• Organized, detail-oriented, and able to manage multiple tasks with a sense of urgency.

The Team You’ll Be A Part Of:

Join a multidisciplinary team of engineers, software developers, and business professionals dedicated to advancing digital mission engineering in the aerospace and defense sectors. You’ll collaborate closely with Ansys Customer Excellence teams, product development, sales, marketing, and business development, working together to deliver innovative solutions and exceptional customer support.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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We're seeking a Staff Engineer MBSE to join our team.

Innovation Starts Here

At Ansys, Part of Synopsys, we're the global leader in engineering simulation software, helping innovative companies solve complex design challenges. Our cutting-edge solutions power advancements across industries, from aerospace to consumer electronics.

What You'll Be Doing:

• Lead and drive technical engagements across the customer lifecycle, from problem definition through solution deployment.
• Act as a trusted advisor to customers, driving adoption and scaling of MBSE and digital engineering practices across engineering teams and leadership levels.
• Engage with customers to enable and guide definition of system architectures, requirements structures, and digital engineering strategies.
• Develop and implement MBSE-driven solutions, enabling customers to adopt and scale these approaches using SysML-based system modeling approaches.
• Drive integration of system architecture models, behavior execution engines, and engineering analyses into cohesive digital engineering workflows.
• Define and enable implementation of end-to-end traceability frameworks across requirements, architecture, behavior, and verification.
• Partner with product teams to influence roadmap and advance interoperability across MBSE and simulation ecosystems.

The Impact You Will Have:

• Drive adoption of executable MBSE and digital engineering practices across complex organizations.
• Influence the evolution of MBSE practices through real-world application and feedback.
• Contribute directly to business growth through strategic, high-impact engagements.
• Enable successful digital engineering transformations within customer environments, advancing industry capabilities.
• Shape product direction and interoperability through collaboration with development teams and industry partners.
• Elevate customer satisfaction and long-term partnerships through expert guidance and innovative solutions.

What You'll Need:

• MS (or PhD) in Engineering, Systems Engineering, or related field.
• 5+ years of experience in systems engineering, MBSE, or system architecture development.
• Experience with system modeling approaches (e.g., SysML or similar frameworks).
• Experience with requirements-driven engineering and traceability.
• Strong programming or scripting skills (Python preferred).
• Experience integrating models, behavior, and/or engineering tools into automated workflows.
• Strong analytical, problem-solving, and communication skills.
• Ability to operate effectively in a customer-facing, consultative engineering role.
• Experience with ModelCenter or similar workflow orchestration tools (preferred).

Who You Are:

• Customer-focused and able to build trusted relationships.
• Comfortable influencing and communicating with senior technical and executive stakeholders.
• Able to bridge engineering depth with strategic decision-making.
• Self-driven, organized, and capable of managing multiple priorities.
• A collaborative team player who contributes to a culture of learning and innovation.

The Team You'll Be A Part Of:

You will be part of a multidisciplinary engineering team focused on advancing model-based systems engineering, digital engineering, and system-level integration. The team works closely with customers, product development, and go-to-market functions to deliver scalable, high-impact solutions.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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This role will bridge technical leadership with project management, ensuring cutting-edge engineering solutions are delivered to specification, on time, and within budget.

As a Project Engineer, you will be responsible for designing, integrating, and delivering advanced systems across our Motorsport and Automotive programs. You will work closely with the project manager, engineering lead, and multi-discipline engineering project team to ensure the design, build, commissioning, validation, and verification activities are completed on time to meet the project timeline.

Key responsibilities include:

• Be accountable for the customer-facing deliverables to ensure a high-quality, reliable and timely delivery to our customers.
• Own the project engineering deliverables, including but not limited to: facility integration methodologies, facility design & drawings, facility requirements, mockup requirements, access solution designs, risk assessments & method statements, and installation plans.
• Lead, own and directly support on-site installations ensuring project delivery scope of accurately captured and managed with the project manager.
• Oversee all designs, for your allocated projects, and provide guidance throughout the product development lifecycle from project and systems requirements capture to in-service support.

Ideal Candidate Profile

• 3+ years’ experience in a customer-facing engineering role
• Excellent written and verbal communication skills
• Experience with direct management of multiple external customers concurrently
• Ability to read, understand, and translate mechanical, electrical, pneumatic, schematic, and mechanical assembly drawings and instructions
• Experience in authoring and reviewing technical documentation; specifications & engineering drawings
• Experience in commissioning and testing of mechanical/electrical systems
• Experience with onsite installation, commissioning, and provision of training
• Experience with using Model Based Systems Engineering (MBSE) methods
• Experience with requirements, interface documentation and requirements methodologies and managing customer-facing information
• Proficient in Microsoft Office

Desirable Skills

• Experience using 3D CAD systems or Electrical CAD
• Experience with servo and PLC driven systems
• DFMEA experience

Qualifications

• A minimum degree qualification in Aeronautical, Mechanical, Systems, or Electrical Engineering (or equivalent)
• Member of a professional engineering body (Chartered Engineer) or working towards chartership

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Reporting to the Lead Project Manager, you’ll play a key role in supporting the successful delivery of our cutting-edge motion simulator projects - ensuring they’re delivered on time, within budget, and to specification. You'll work closely with experienced engineers and technical specialists across multiple disciplines, gaining exposure to every stage of the project lifecycle.

Responsibilities:

• Supporting the delivery of complex engineering projects, from initial planning through to build and commissioning
• Working with our team of world-class engineers and operations specialists to ensure every part of the project meets our high standards of quality and performance
• Helping to plan and coordinate project timelines, resources, and budgets
• Monitoring progress, identifying and managing risks, and helping resolve project challenges as they arise
• Preparing and presenting project updates, status reports and documentation for key stakeholders
• Building strong relationships across teams to ensure alignment and smooth communication

Requirements:

• A degree or equivalent experience
• 2–5 years’ experience working in a project management role, ideally within an engineering, technology or manufacturing environment
• A solid understanding of project management principles and practices
• A proactive mindset with great problem-solving skills and a logical approach to tasks
• Excellent communication and organisational skills
• A collaborative attitude and the confidence to work with cross-functional teams

Benefits:

• Competitive basic salary
• Pension
• Life insurance
• Private medical insurance
• 25 days holiday
• Cycle to work and electric car vehicle schemes

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We are seeking an Aerospace Systems Engineer to join our team in Exton, PA. As an Aerospace Systems Engineer, you will be responsible for assisting customers in solving complex engineering problems and optimizing their use of Ansys products.

You Will Be Doing:

• Deploy your engineering expertise to assist customers in solving complex engineering problems and optimize their use of Ansys products.
• Develop subject matter expertise in Digital Mission Engineering tools such as STK, ODTK, TETK, and DME Components, becoming a trusted resource for customers and internal teams.
• Ensure high levels of customer satisfaction by enabling successful deployment, adoption, and integration of Ansys simulation software in customer workflows.
• Submit product improvement suggestions, file defect reports, and verify fixes, actively participating in field testing of new releases to ensure customer requirements are met.
• Support Sales and Marketing as needed by conducting technical demonstrations, webinars, online training sessions, and providing expertise-level assistance to business functions.
• Participate in strategic team and company initiatives, contributing your skills and insights to drive innovation and enhance the overall customer experience.

The Impact You Will Have:

• Directly influence customer success by resolving technical challenges and enabling optimal use of advanced simulation tools.
• Drive product improvement by channeling customer feedback and insights to internal leadership, shaping the evolution of Ansys software solutions.
• Empower customers across aerospace, defense, and engineering sectors to innovate and solve mission-critical problems using state-of-the-art Digital Mission Engineering tools.
• Elevate the reputation of Ansys and Synopsys by delivering exceptional technical support and fostering long-term customer relationships.
• Advance team knowledge and capabilities by sharing expertise, mentoring peers, and participating in collaborative initiatives.
• Support business growth by providing technical expertise in sales and marketing activities, helping to expand the adoption of Ansys products within the industry.

What You’ll Need:

• Bachelor’s degree (BS) in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or related field (required)
• Master’s degree (MS) or BS+2 years of experience preferred.
• Proficiency in one or more programming languages: Python, Matlab, C++, Java.
• Experience with Ansys software or other commercial engineering tools (CAE, CAD, EDA, PLM).
• Logical problem-solving skills and the ability to analyze complex technical issues.
• Strong organizational, time management, and communication skills; fluent in English (spoken and written).
• Coursework or experience in astrodynamics, orbit determination, attitude determination and control systems, RF theory, optical engineering, or Model-Based Systems Engineering (MBSE) (preferred).
• Ability to travel domestically up to 10% of the time.

Who You Are:

• Analytical thinker with a passion for solving complex engineering challenges.
• Collaborative team player, eager to learn and share knowledge.
• Effective communicator, able to bridge technical and business contexts.
• Adaptable and proactive, thriving in fast-paced and evolving environments.
• Customer-focused, dedicated to delivering high-quality solutions and support.
• Professional and reliable, projecting confidence and business insight.

The Team You’ll Be A Part Of:

You’ll join a dynamic and supportive group of engineers specializing in Digital Mission Engineering simulation and analysis applications. Based in Exton, PA, our team collaborates closely to deliver technical excellence, innovate on customer solutions, and drive the evolution of Ansys’ DME tools. You’ll be empowered to contribute ideas, grow your expertise, and make a visible impact on customer success and product development.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Key Responsibilities

• Plan, deploy, and support Azure Windows Virtual Desktop (WVD) implementations
• Scale Sets, host pool management, and automation
• Azure AD SSO for cloud applications and API scripting
• Azure migration from On-Prem/Cloud to Azure Platform
• AD Connect support and troubleshooting
• Automation using Azure blueprints and ARM templates
• Support Azure Architecture (IaaS & PaaS)
• Experience of ARM (Azure) and strong PowerShell Scripting using a GIT repository

Requirements

• 5+ years of experience in a similar role
• Cloud Engineer, IT Administrator, Systems Engineer
• Scripting (PowerShell, Azure CLI)
• Custom monitors, Runbook Automation, Log analytics
• A strong understanding of the Azure & Office 365 ecosystem
• Hands-on experience of ARM (Azure) Templates / JSON
• Azure Solutions Architect certification desirable (AZ-303; AZ-304, AZ-104)
• Azure Active Directory Domain Services
• Azure server-less architecture
• Proven experience in Azure Storage, Networking, Security, and Management and Hybrid Cloud
• Experience managing: Amazon AWS, Azure, Google Cloud an advantage

Benefits

• Bonus Scheme
• BUPA Healthcare Scheme
• Life Assurance (3 x salary)
• Group Pension Scheme

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Key Responsibilities:

• Overall administration and management of growing hybrid and pure cloud solutions
• Plan, deploy & support Azure Windows Desktop Services (WDS) implementations
• Mobile Device Management - InTune policy management
• Azure migration from On-Prem/Cloud to Azure Platform, Microsoft SQL
• Build, deploy and support technologies for an Azure platform
• Automation of Azure infrastructure
• Support Azure Architecture (IaaS & PaaS)
• In depth experience of ARM and PowerShell Scripting using a GIT repository
• Azure tenancy and subscription management
• Creation of auto-remediate scripting for cloud resources
• Demonstrate optimization techniques and strategy
• Creation of YAML pipelines with Azure DevOps
• Creation and enforcement of security policies to CIS standards
• Assist regional teams in creating practical demonstrations of proposed solutions and demonstrating them to other members of the team
• Provide detailed specifications for proposed solutions including materials, mockups and time necessary
• Mentor and train other engineers throughout the company and seek to continually improve processes companywide
• Work alongside project management teams to successfully monitor progress and complete implementation

Requirements:

• 5+ years experience in a similar role
• Cloud Engineer, IT Administrator, Systems Engineer
• Scripting (PowerShell, Azure CLI)
• A strong understanding of the Azure & Office 365 ecosystem
• Hands on experience of ARM Templates / JSON
• Azure data protection and security architecture/features
• Azure Administrator certification (e.g. AZ-104, AZ-400; AZ-303; AZ-304) is required
• Disaster Recovery / High Availability technologies
• Azure DevOps
• Azure Active Directory
• Azure server-less architecture
• Experience managing: Amazon AWS, Azure, Google Cloud an advantage

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The role will primarily be based in our Midlands office with some travel to customers' locations and other worldwide AVL locations.

Responsibilities:

• Work with other team members and customers' engineers to deliver ADAS & AD projects according to plan
• Develop test plans and test cases for ADAS features, ensuring appropriate requirements coverage and traceability back to use cases
• Plan, conduct, and evaluate vehicle and systems tests in virtual environments, on test tracks, and public roads
• Develop calibration for ADAS features and functions
• Identify and develop use cases for ADAS
• Develop, define, and refine requirements for ADAS features (from feature level down to component level) as well as performance KPIs
• Report and present project activities
• Work with customers to understand and track project milestones and deliverables dates

Requirements:

• Degree in Automotive Engineering, Mechanical Engineering, Electrical & Electronic Engineering or equivalent
• Experience with vehicle integration, tests planning, vehicle and systems testing in virtual environments, on test tracks, and public roads
• Experience with ADAS features calibration, vehicle testing, data collection, and post-processing
• Awareness of systems development lifecycle
• Understanding of vehicle control modules, E/E architecture, and vehicle systems
• Good communication skills in written and verbal English
• Excellent organizational and time management skills
• High motivation and proactive attitude towards learning and new technologies
• Flexibility to travel to suppliers, customers, other AVL offices

Preferred:

• ADAS/AD systems engineering experience
• Knowledge of ADAS regulations and standards (UN-ECE and ISO)
• Knowledge of C++, Python, and/or ROS
• Knowledge of simulation and validation tools (e.g. CarMaker)
• Experience using Vector tools (e.g. CANalyzer, CANape) or equivalent

Benefits:

• EV Lease Scheme (Salary Sacrifice)
• Flexi-time (applies to most roles)
• Private Medical Insurance and Health Cash Plan
• Cycle to Work Scheme
• 25 days holiday per year (increases by 1 day annually up to the max. of 28 days)
• Special occasion leave (eligibility after probation, subject to conditions)
• Pension scheme
• Life Assurance and Income Protection Insurance
• One paid professional membership annually

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As a Staff Site Reliability Engineer, you will bridge the gap between development and operations, implementing automation and establishing best practices that enable our platform to scale efficiently while maintaining high availability.

We are seeking Staff SREs who are passionate about building and maintaining resilient systems at scale. Your mission will be to proactively find and analyze reliability problems across our stack, then design and implement software and systems to create step-function improvements.

You will design robust observability solutions, lead incident response, automate operational tasks, and continuously improve our infrastructure's reliability, all while mentoring and educating the broader engineering team to make reliability a core value at Replit.

Responsibilities

• Architect and Implement Observability: Design, build, and lead the implementation of comprehensive monitoring, logging, and tracing solutions. Create dashboards and metrics that provide real-time visibility into system health and performance, enabling proactive issue detection.

• Define and Drive Reliability Standards: Work with product and engineering teams to define, implement, and track Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Build systems to monitor and report on these metrics, holding teams accountable and ensuring we maintain high reliability standards while balancing innovation speed.

• Lead Incident Management and Response: Act as a senior leader during high-impact incidents, guiding the team to rapid resolution. Conduct thorough, blameless post-mortems and drive the implementation of preventative measures. Develop and refine runbooks and build automation to reduce Mean Time To Recovery (MTTR).

• Drive Automation and Infrastructure as Code: Architect, build, and improve automation to eliminate toil and operational work. Design and maintain CI/CD pipelines and infrastructure automation using tools like Terraform or Pulumi. Create self-healing systems that can automatically respond to common failure scenarios.

• Optimize Performance on Kubernetes: Collaborate with core infrastructure and product teams to performance-tune and optimize our large-scale cloud deployments, with a deep focus on Kubernetes, Docker, and GCP. Identify and resolve performance bottlenecks, implement capacity planning strategies, and reduce latency across global regions.

• Debug and Harden Distributed Systems: Dive deep into debugging extremely difficult technical problems across the stack. Use your findings to design and implement long-term fixes that make our systems and products more robust, operable, and easier to diagnose.

• Provide Staff-Level Guidance: Review feature and system designs from across the company, acting as a key owner for the reliability, scalability, security, and operational integrity of those designs.

• Educate and Mentor: Educate, mentor, and hold accountable the broader engineering team to improve the reliability of our systems, making reliability a core value of the Replit engineering culture.

• Build and Integrate: Write high-quality, well-tested code in Python or Go to meet the needs of your customers, whether it's building new internal tools or integrating with third-party vendors.

Required Skills and Experience

• 8-10 years of experience in Site Reliability Engineering or similar roles (e.g., DevOps, Systems Engineering, Infrastructure Engineering).

• Strong programming skills in languages like Python or Go. You write high-quality, well-tested code.

• Deep understanding of distributed systems. You’ve designed, built, scaled, and maintained production services and know how to compose a service-oriented architecture.

• Deep experience with container orchestration platforms, specifically Kubernetes, and cloud-native technologies.

• Proven track record of designing, implementing, and maintaining sophisticated monitoring and observability solutions (e.g., metrics, logging, tracing).

• Strong incident management skills with extensive experience leading incident response for complex systems and demonstrated critical thinking under pressure.

• Experience with infrastructure as code (e.g., Terraform, Pulumi) and configuration management tools.

• Excellent written and verbal communication skills, with an ability to explain complex technical concepts clearly and simply and a bias toward open, transparent cultural practices.

• Strong interpersonal skills, with experience working with and mentoring engineers from junior to principal levels.

• A willingness to dive into understanding, debugging, and improving any layer of the stack.

• You're passionate about making software creation accessible and empowering the next generation of builders.

Bonus Points

• Deep experience with Google Cloud Platform (GCP) services and tools.

• Expert-level knowledge of modern observability platforms (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).

• Experience designing and building reliable systems capable of handling high throughput and low latency.

• Significant experience with Go and Terraform.

• Familiarity with working in rapid-growth, startup environments.

• Experience writing company-facing blog posts and training materials.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role:

Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.

This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimisation, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow.

Responsibilities:

• Own critical aspects of our production pretraining pipeline, including model operations, performance optimisation, observability, and reliability
• Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure
• Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance
• Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams
• Build and maintain production logging, monitoring dashboards, and evaluation infrastructure
• Add new capabilities to the training codebase, such as long context support or novel architectures
• Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams
• Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned

You May Be a Good Fit If You:

• Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems
• Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other
• Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure
• Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs
• Excel at debugging complex, ambiguous problems across multiple layers of the stack
• Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents
• Are passionate about the work itself and want to refine your craft as a research engineer
• Care about the societal impacts of AI and responsible scaling

Strong Candidates May Also Have:

• Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale
• Contributed to open-source LLM frameworks (e.g., open\_lm, llm-foundry, mesh-transformer-jax)
• Published research on model training, scaling laws, or ML systems
• Experience with production ML systems, observability tools, or evaluation infrastructure
• Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence

What Makes This Role Unique:

This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.

However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding.

We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role:

Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.

This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow.

Responsibilities:

• Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability
• Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure
• Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance
• Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams
• Build and maintain production logging, monitoring dashboards, and evaluation infrastructure
• Add new capabilities to the training codebase, such as long context support or novel architectures
• Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams
• Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned

You May Be a Good Fit If You:

• Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems
• Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other
• Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure
• Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs
• Excel at debugging complex, ambiguous problems across multiple layers of the stack
• Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents
• Are passionate about the work itself and want to refine your craft as a research engineer
• Care about the societal impacts of AI and responsible scaling

Strong Candidates May Also Have:

• Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale
• Contributed to open-source LLM frameworks (e.g., open\_lm, llm-foundry, mesh-transformer-jax)
• Published research on model training, scaling laws, or ML systems
• Experience with production ML systems, observability tools, or evaluation infrastructure
• Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence

What Makes This Role Unique:

This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.

However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding.

We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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Foster City, CA (Hybrid) In office M,W,F

Employment Type

Full time

Location Type

Hybrid

Department

Support

Compensation

• Compensation is determined based on career level, with the base salary for this role ranging from $130K – $165K • Offers Equity

As a Support Engineer you are at the forefront of helping those developers create. In a given day you’ll help folks with all sorts of things ranging from general Replit usage questions, identifying and debugging issues on the platform and helping to build and maintain the tools we use. We use tools like Zendesk, Linear, Slack, and Replit itself to get the job done. We also value solving the problems we can ourselves. We have a number of tools we build and maintain ourselves.

You will work on a small, global team of support specialists and engineers united by Replit's mission to make the next billion software creators. Together, you'll ensure developers worldwide have the support they need to bring their ideas to life.

In this role you will:

• Work directly with Replit customers via support tickets to solve product issues, bugs, and provide technical guidance.
• Collaborate with the rest of the Support team in telling the story of our users to the rest of Replit.
• Directly contribute to and maintain the Support team’s Knowledge Base.
• Lead customer-facing communications for outages and incidents.
• Proactively identify and lead initiatives to streamline support operations and improve team efficiency.
• Manage complex escalated issues and bugs that are flagged via internal and external channels
• Help on-board and mentor new members of the support team.

Required Skills and Experience:

• Prior experience in software development or systems engineering.
• Demonstrated experience building and debugging applications with Javascript, Python, or similar languages.
• Excellent communication skills with initiative to ask questions when encountered with the unknown.
• Initiative to ask questions when encountered with the unknown.
• Experience with support tools and ticketing systems (e.g. Zendesk)

Bonus Points:

• Has used Replit in the last 3 to 6 months.
• Experience working with IDEs, terminals, or other common developer tools.
• Experience with AI tools (Claude, ChatGPT, etc.)

What we value:

• Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
• Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
• Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
• Continuous learning: Passion for staying current with industry best practices and new technologies
• Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems

_This is a full-time role that can be held from our Foster City, CA office. The schedule follows a Saturday through Wednesday work week, with an in-office requirement on Mondays and Wednesdays._

Full-Time Employee Benefits Include:

💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🚗 Commuter Benefits 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement 🏝 Flexible Time Off (FTO) + Holidays 🚀 Quarterly Team Gatherings ☕ In Office Amenities

Want to learn more about what we are up to?

• Meet the Replit Agent
• Replit: Make an app for that
• Replit Blog
• Amjad TED Talk

Interviewing + Culture at Replit

• Operating Principles
• Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Compensation Range: $130K - $165K

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We are seeking Senior Infrastructure Engineers who are passionate about building and maintaining resilient systems at scale. Your mission will be to proactively find and analyse reliability problems across our stack, then design and implement software and systems to address them. You will build robust monitoring solutions, automate operational tasks, and continuously improve our infrastructure's reliability.

You Will:

• Drive Automation and Infrastructure as Code: Build and improve automation to eliminate toil and operational work. Maintain CI/CD pipelines and infrastructure automation using tools like Terraform or Pulumi. Create self-healing systems that can automatically respond to common failure scenarios.
• Optimise Performance and Infrastructure: Collaborate with core infrastructure and product teams to performance tune and optimise our cloud deployments (Kubernetes, Docker, GCP). Identify and resolve performance bottlenecks and implement capacity planning strategies.
• Elevate Developer Experience: Design and implement improvements to our build, test, and deployment systems to make software delivery faster, safer, and more reliable for all engineers.
• Drive Cross-Team Improvements: Partner with service owners across Replit to understand their pain points, and collaborate on implementing build/test/deploy enhancements within their specific services.
• Build Shared Tooling: Create and maintain centralized tooling and automation that improves the engineering lifecycle, from local development to production monitoring.
• Debug and Harden Systems: Dive deep into debugging difficult technical problems, making our systems and products more robust, operable, and easier to diagnose.
• Collaborate on Design Reviews: Participate in feature and system design reviews, contributing expertise on security, scale, and operational considerations.
• Build and Integrate: Write high-quality, well-tested code to meet the needs of your customers, including building pipelines to integrate with 3rd party vendors.

Required Skills and Experience:

• 4+ years of experience in Site Reliability Engineering or similar roles (DevOps, Systems Engineering, Infrastructure Engineering).
• Strong programming skills in languages like Python or Go.
• You write high-quality, well-tested code.
• Solid understanding of distributed systems. You've built, scaled, and maintained production services and understand service-oriented architecture.
• Experience with container orchestration platforms (Kubernetes) and cloud-native technologies.
• Experience implementing and maintaining monitoring/observability solutions, with strong skills in debugging and performance tuning.
• Strong incident management skills with experience participating in incident response and demonstrated critical thinking under pressure.
• Experience with infrastructure as code (e.g., Terraform) and configuration management tools.
• Excellent written and verbal communication skills, with an ability to explain technical concepts clearly.
• A willingness to dive into understanding, debugging, and improving any layer of the stack.
• You're passionate about making software creation accessible and empowering the next generation of builders.

Bonus Points:

• Experience with Google Cloud Platform (GCP) services and tools.
• Knowledge of modern observability platforms (Prometheus, Grafana, Datadog, etc.).
• Experience building reliable systems capable of handling high throughput and low latency.
• Experience with Go and Terraform.
• Familiarity with working in rapid-growth environments.

_This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday._

Full-Time Employee Benefits Include:

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

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We are seeking SREs who are passionate about building and maintaining resilient systems at scale. Your mission will be to design and implement robust monitoring solutions, automate operational tasks, and continuously improve our infrastructure's reliability and performance.

Responsibilities

• Design and Implement Observability Solutions: Develop comprehensive monitoring and alerting systems using modern observability tools. Create dashboards and metrics that provide real-time visibility into system health and performance. Implement logging strategies that enable quick problem identification and resolution.

• Drive Automation and Infrastructure as Code: Architect and implement infrastructure automation solutions using tools like Terraform, Ansible, or Pulumi. Design and maintain CI/CD pipelines that enable reliable and consistent deployments. Create self-healing systems that can automatically respond to common failure scenarios.

• Establish SLOs and SLIs: Work with product and engineering teams to define and implement Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Build systems to track and report on these metrics, ensuring we maintain high reliability standards while balancing innovation speed.

• Incident Management and Response: Lead incident response efforts, conducting thorough post-mortems, and implementing improvements to prevent future occurrences. Develop and maintain runbooks for critical services. Build tools and processes that reduce Mean Time To Recovery (MTTR).

• Performance Optimization: Identify and resolve performance bottlenecks across our infrastructure. Implement capacity planning strategies and optimize resource utilization. Work on reducing latency and improving system efficiency across global regions.

Requirements

• 4-8 years of experience in Site Reliability Engineering or similar roles (DevOps, Systems Engineering, Infrastructure Engineering)

• Strong programming skills in languages commonly used for automation (Python, Go, or similar)

• Deep understanding of distributed systems

• Experience with container orchestration platforms (Kubernetes) and cloud-native technologies

• Proven track record of implementing and maintaining monitoring/observability solutions

• Strong incident management skills with experience leading incident response

• Experience with infrastructure as code and configuration management tools

Bonus Points

• Experience with Google Cloud Platform (GCP) services and tools

• Knowledge of modern observability platforms (Prometheus, Grafana, Datadog, etc.)

What We Value

• Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions

• Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams

• Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences

• Continuous learning: Passion for staying current with industry best practices and new technologies

• Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems

Full-Time Employee Benefits Include

• Competitive Salary & Equity

• 401(k) Program with a 4% match

• Health, Dental, Vision and Life Insurance

• Short Term and Long Term Disability

• Paid Parental, Medical, Caregiver Leave

• Commuter Benefits

• Monthly Wellness Stipend

• Autonomous Work Environment

• In Office Set-Up Reimbursement

• Flexible Time Off (FTO) + Holidays

• Quarterly Team Gatherings

• In Office Amenities

Want to Learn More About What We Are Up To?

• Meet the Replit Agent

• Replit: Make an app for that

• Replit Blog

• Amjad TED Talk

Interviewing + Culture at Replit

• Operating Principles

• Reasons not to work at Replit

XML job scraping automation by YubHub

Join our Infrastructure Engineering team and help ensure the reliability, scalability, and performance of Replit's infrastructure that serves millions of developers worldwide. As a Staff Infrastructure Engineer, you will bridge the gap between development and operations, implementing automation and establishing best practices that enable our platform to scale efficiently while maintaining high availability.

Responsibilities:

• Drive Automation and Infrastructure as Code: Architect, build, and improve automation to eliminate toil and operational work. Design and maintain CI/CD pipelines and infrastructure automation using tools like Terraform or Pulumi. Create self-healing systems that can automatically respond to common failure scenarios.

• Optimise Performance and Infrastructure: Collaborate with core infrastructure and product teams to performance tune and optimise our cloud deployments (Kubernetes, Docker, GCP). Identify and resolve performance bottlenecks, implement capacity planning strategies, and reduce latency across global regions.

• Elevate Developer Experience: Design and implement improvements to our build, test, and deployment systems to make software delivery faster, safer, and more reliable for all engineers.

• Drive Cross-Company Improvements: Partner directly with service owners across Replit to understand their pain points, and collaborate on implementing build/test/deploy enhancements within their specific services.

• Build Shared Tooling: Create and maintain centralized tooling and automation that improves the entire engineering lifecycle, from local development to production monitoring.

• Debug and Harden Systems: Dive deep into debugging extremely difficult technical problems, making our systems and products more robust, operable, and easier to diagnose.

• Provide Staff-Level Guidance: Review feature and system designs, acting as an owner for the security, scale, and operational integrity of those designs.

• Educate and Mentor: Educate, mentor, and hold accountable the engineering team to improve the reliability of our systems, making reliability a core value of the Replit engineering culture.

• Build and Integrate: Write high-quality, well-tested code to meet the needs of your customers, including building pipelines to integrate with 3rd party vendors.

Required Skills and Experience:

• 8-10 years of experience in Infrastructure Engineering or similar roles (DevOps, Systems Engineering, Site Reliability Engineering).

• Strong programming skills in languages like Python or Go.

• You write high-quality, well-tested code.

• Deep understanding of distributed systems. You've designed, built, scaled, and maintained production services and know how to compose a service-oriented architecture.

• Experience with container orchestration platforms (Kubernetes) and cloud-native technologies.

• Proven track record of implementing and maintaining monitoring/observability solutions, with strong skills in debugging and performance tuning.

• Strong incident management skills with experience leading incident response and demonstrated critical thinking under pressure.

• Experience with infrastructure as code (e.g., Terraform) and configuration management tools.

• Excellent written and verbal communication skills, with an ability to explain technical concepts clearly and simply and a bias toward open, transparent cultural practices.

• Strong interpersonal skills, with experience working with engineers from junior to principal levels.

• A willingness to dive into understanding, debugging, and improving any layer of the stack.

• You're passionate about making software creation accessible and empowering the next generation of builders.

Bonus Points:

• Deep experience with Google Cloud Platform (GCP) services and tools.

• Knowledge of modern observability platforms (Prometheus, Grafana, Datadog, etc.).

• Experience designing and building reliable systems capable of handling high throughput and low latency.

• Experience with Go and Terraform.

• Familiarity with working in rapid-growth environments.

• Experience writing company-facing blog posts and training materials.

Full-Time Employee Benefits Include:

• Competitive Salary & Equity

• 401(k) Program with a 4% match

• Health, Dental, Vision and Life Insurance

• Short Term and Long Term Disability

• Paid Parental, Medical, Caregiver Leave

• Commuter Benefits

• Monthly Wellness Stipend

• Autonomous Work Environment

• In Office Set-Up Reimbursement

• Flexible Time Off (FTO) + Holidays

• Quarterly Team Gatherings

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In this role you will build powerful tools that help product engineers iterate rapidly on the Agent experience and directly enhance the core Agent itself. You’ll bridge the gap between the AI team (working on the core Agent logic) and the UX team (crafting delightful Agent experiences), enabling both groups to excel within their specialties.

This role blends systems engineering, developer experience and product engineering. We tackle complex challenges across the full stack, from browser-based interfaces to high-performance backends to Linux systems engineering. We’re looking for engineers who have a keen sense of the product experience and how to power it with performant systems.

Responsibilities

• Build high-throughput backend applications and services, like streaming chat between user and agent.
• Design a collaborative "Multiplayer Computer" that lets humans and AI agents work together on shared shells, filesystems, and state—conflict-free and in real time.
• Develop infrastructure (frontend & backend) that empowers product engineers to rapidly ship delightful user experiences.
• Design and build durable, well-crafted interfaces between the Agent and internal systems, as well as external agentic systems (MCP)

Required Skills and Experience

• 5+ years professional experience in building backend services, systems and platforms
• Someone who values simplicity and pragmatism—you think radically but ship incrementally.
• Self-directed and comfortable working autonomously.
• Collaborative and team-oriented with a strong sense of shared ownership.

Preferred Qualifications

• Experience across the full-stack.
• Experience building AI powered tooling or products.
• Experience with collaborative editing technologies such as Operational Transforms (OT), CRDTs, or the inner workings of Git.
• Experience with event sourcing systems.

What We Value

• Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
• Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
• Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
• Continuous learning: Passion for staying current with industry best practices and new technologies
• Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems

Full-Time Employee Benefits Include:

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Research

Compensation

• $380K – $445K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. Our mission is to push the frontier of code generation and agentic reasoning, and deploy these capabilities in real-world products such as ChatGPT and the API, as well as in next-generation tools specifically designed for agentic coding. We operate across research, engineering, product, and infrastructure—owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities.

About the Role

As a member of the Codex team, you will advance the capabilities, performance, and reliability of AI coding models through a combination of research, experimentation, and system optimization. You’ll collaborate with world-class researchers and engineers to develop and deploy systems that help millions of users write better code, faster—while also ensuring these systems are efficient, cost-effective, and production-ready.

We’re looking for people who combine deep curiosity, strong technical fundamentals, and a bias toward impact. Whether your strengths lie in ML research, systems engineering, or performance optimization, you’ll play a pivotal role in pushing the state of the art and bringing these advances into the hands of real users.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you might:

• Design and run experiments to improve code generation, reasoning, and agentic behavior in Codex models.

• Develop research insights into model training, alignment, and evaluation.

• Hunt down and address inefficiencies across the Codex system stack—from agent behavior to LLM inference to container orchestration—and land high-leverage performance improvements.

• Build tooling to measure, profile, and optimize system performance at scale.

• Work across the stack to prototype new capabilities, debug complex issues, and ship improvements to production.

You might thrive in this role if you:

• Are excited to explore and push the boundaries of large language models, especially in the domain of software reasoning and code generation.

• Have strong software engineering skills and enjoy quickly turning ideas into working prototypes.

• Think holistically about performance, balancing speed, cost, and user experience.

• Bring creativity and rigor to open-ended research problems and thrive in highly iterative, ambiguous environments.

• Have experience operating across both ML systems and cloud infrastructure.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $310K – $460K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers.

Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale.

We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform.

About the Role

As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale.

You’ll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs. This infrastructure is critical to operating OpenAI’s training stack and is actively evolving to support new use cases and increasingly complex workloads.

This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large-scale debugging.

In This Role, You Will

• Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs

• Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior

• Improve observability, reliability, and performance across OpenAI’s training platform

• Debug and resolve issues in complex, high-throughput distributed systems

• Collaborate with systems, infrastructure, and research teams to evolve platform capabilities

• Extend and adapt failure detection systems or tracing systems to support new training paradigms and workloads

You Might Thrive in This Role If You

• Care deeply about performance, stability, and observability in distributed systems

• Enjoy finding and fixing issues in large-scale systems and automating operational workflows

• Have experience writing low-level software where system details matter

• Understand hardware, operating systems, networking, concurrency, and distributed systems

• Have a background in high-performance computing or low-level systems engineering

• Are excited to work on critical infrastructure that powers frontier AI research

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $230K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Frontier Systems team at OpenAI builds, launches, and supports the largest supercomputers in the world that OpenAI uses for its most cutting edge model training.

We take data center designs, turn them into real, working systems and build any software needed for running large-scale frontier model trainings.

Our mission is to bring up, stabilize and keep these hyperscale supercomputers reliable and efficient during the training of the frontier models.

About the Role

We are looking for engineers to operate the next generation of compute clusters that power OpenAI’s frontier research.

This role blends distributed systems engineering with hands-on infrastructure work on our largest datacenters. You will scale Kubernetes clusters to massive scale, automate bare-metal bring-up, and build the software layer that hides the complexity of a magnitude of nodes across multiple data centers.

You will work at the intersection of hardware and software, where speed and reliability are critical. Expect to manage fast-moving operations, quickly diagnose and fix issues when things are on fire, and continuously raise the bar for automation and uptime.

In this role, you will:

• Spin up and scale large Kubernetes clusters, including automation for provisioning, bootstrapping, and cluster lifecycle management

• Build software abstractions that unify multiple clusters and present a seamless interface to training workloads

• Own node bring-up from bare metal through firmware upgrades, ensuring fast, repeatable deployment at massive scale

• Improve operational metrics such as reducing cluster restart times (e.g., from hours to minutes) and accelerating firmware or OS upgrade cycles

• Integrate networking and hardware health systems to deliver end-to-end reliability across servers, switches, and data center infrastructure

• Develop monitoring and observability systems to detect issues early and keep clusters stable under extreme load

You might thrive in this role if you:

• Have deep experience operating or scaling Kubernetes clusters or similar container orchestration systems in high-growth or hyperscale environments

• Bring strong programming or scripting skills (Python, Go, or similar) and familiarity with Infrastructure-as-Code tools such as Terraform or CloudFormation

• Are comfortable with bare-metal Linux environments, GPU hardware, and large-scale networking

• Enjoy solving fast-moving, high-impact operational problems and building automation to eliminate manual work

• Can balance careful engineering with the urgency of keeping mission-critical systems running

Qualifications

• Experience as an infrastructure, systems, or distributed systems engineer in large-scale or high-availability environments

• Strong knowledge of Kubernetes internals, cluster scaling patterns, and containerized workloads

• Proficiency in cloud infrastructure concepts (compute, networking, storage, security) and in automating cluster or data center operations

_Bonus: background with GPU workloads, firmware management, or high-performance computing_

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $255K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Frontier Systems team at OpenAI builds, launches, and supports the largest supercomputers in the world that OpenAI uses for its most cutting edge model training.

We take data center designs, turn them into real, working systems and build any software needed for running large-scale frontier model trainings.

Our mission is to bring up, stabilize and keep these hyperscale supercomputers reliable and efficient during the training of the frontier models.

About the Role

We are looking for engineers to operate the next generation of compute clusters that power OpenAI’s frontier research.

This role blends distributed systems engineering with hands-on infrastructure work on our largest datacenters. You will scale Kubernetes clusters to massive scale, automate bare-metal bring-up, and build the software layer that hides the complexity of a magnitude of nodes across multiple data centers.

You will work at the intersection of hardware and software, where speed and reliability are critical. Expect to manage fast-moving operations, quickly diagnose and fix issues when things are on fire, and continuously raise the bar for automation and uptime.

In this role, you will:

• Spin up and scale large Kubernetes clusters, including automation for provisioning, bootstrapping, and cluster lifecycle management

• Build software abstractions that unify multiple clusters and present a seamless interface to training workloads

• Own node bring-up from bare metal through firmware upgrades, ensuring fast, repeatable deployment at massive scale

• Improve operational metrics such as reducing cluster restart times (e.g., from hours to minutes) and accelerating firmware or OS upgrade cycles

• Integrate networking and hardware health systems to deliver end-to-end reliability across servers, switches, and data center infrastructure

• Develop monitoring and observability systems to detect issues early and keep clusters stable under extreme load

• Be expected to execute at the same level as a software engineer

You might thrive in this role if you:

• Have deep experience operating or scaling Kubernetes clusters or similar container orchestration systems in high-growth or hyperscale environments

• Bring strong programming or scripting skills (Python, Go, or similar) and familiarity with Infrastructure-as-Code tools such as Terraform or CloudFormation

• Are comfortable with bare-metal Linux environments, GPU hardware, and large-scale networking

• Enjoy solving fast-moving, high-impact operational problems and building automation to eliminate manual work

• Can balance careful engineering with the urgency of keeping mission-critical systems running

Qualifications

• Experience as an infrastructure, systems, or distributed systems engineer in large-scale or high-availability environments

• Strong knowledge of Kubernetes internals, cluster scaling patterns, and containerized workloads

• Proficiency in cloud infrastructure concepts (compute, networking, storage, security) and in automating cluster or data center operations

_Bonus: background with GPU workloads, firmware management, or high-performance computing_

XML job scraping automation by YubHub

Location

London, UK

Employment Type

Full time

Department

Scaling

About the Team

The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers.

Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale.

We collaborate closely with researchers across the organisation, continuously incorporating learnings from across OpenAI into the evolution of our training platform.

About the Role

As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale.

You’ll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimise massive distributed training jobs. This infrastructure is critical to operating OpenAI’s training stack and is actively evolving to support new use cases and increasingly complex workloads.

This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large-scale debugging.

In This Role, You Will

• Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs

• Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behaviour

• Improve observability, reliability, and performance across OpenAI’s training platform

• Debug and resolve issues in complex, high-throughput distributed systems

• Collaborate with systems, infrastructure, and research teams to evolve platform capabilities

• Extend and adapt failure detection systems or tracing systems to support new training paradigms and workloads

You Might Thrive in This Role If You

• Care deeply about performance, stability, and observability in distributed systems

• Enjoy finding and fixing issues in large-scale systems and automating operational workflows

• Have experience writing low-level software where system details matter

• Understand hardware, operating systems, networking, concurrency, and distributed systems

• Have a background in high-performance computing or low-level systems engineering

• Are excited to work on critical infrastructure that powers frontier AI research

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

Singapore

Employment Type

Full time

Location Type

Hybrid

Department

Consumer Products

About the Team

The Consumer Products team at OpenAI builds the hardware that brings advanced AI technology directly into people’s hands. We design, engineer, and manufacture next-generation consumer devices that combine elegant design, robust engineering, and cutting-edge AI. Our team spans mechanical, electrical, and systems engineering — partnering closely with industrial design, operations, and software to create seamless, high-quality experiences that make AI more accessible and useful.

About the Role

As a Hardware Engineer on the Consumer Products team, you’ll contribute to the design, development, and integration of complex hardware systems for new AI-driven devices. You’ll work across disciplines to translate early product concepts into reliable, scalable, and beautifully crafted products ready for mass production.

This role is based in Singapore. We follow a hybrid model (four days per week in the office) and offer relocation support for new employees. Occasional travel to manufacturing partners may be required.

In this role, you will:

• Design, prototype, and validate mechanical and electrical subsystems from early development through mass production.

• Collaborate closely with design, operations, and manufacturing teams to ensure quality, reliability, and scalability.

• Drive DFM/DFA reviews, design iterations, and bring-up of prototype and pilot builds.

• Debug complex system-level issues and lead root-cause investigations and resolutions.

• Partner with global suppliers and cross-functional teams to ensure flawless execution from concept to launch.

You might thrive in this role if you:

• Have 6+ years of experience in consumer hardware, consumer electronics, or advanced product development.

• Bring deep technical fluency in mechanical, electrical, or systems engineering (cross-disciplinary experience a plus).

• Have taken at least one consumer product from concept to mass production.

• Are energized by hands-on problem solving, iteration, and building in fast-paced environments.

• Value collaboration, craftsmanship, and user experience — and are excited to help shape how people interact with AI.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Microsoft AI are looking for a talented Service Engineer II to join their team in Mountain View. This role will involve providing advanced technical support for Microsoft online advertising global sales teams with a primary focus on technically supporting paid search results that appear on Bing and other web properties such as AOL and Yahoo!. The individual that will succeed in this role will have experience in and a passion for customer service and team relationships.

About the Role

As a Service Engineer II, you will perform deep technical investigations to solve complex performance issues for Microsoft Advertising customers and partners. You will act to prevent user, partner and customer quality risk issues through industry awareness, new feature risk analysis, progressive policy influence, pre-launch partner quality reviews, fraud/ DSAT trend identification, platform feature recommendations and business quality advocacy. You will also contribute to product improvements by filing bugs and design change requests, and help developers fix and ship them to production. You will drive root cause analysis and service improvements in close partnership with several Engineering teams.

Accountabilities

• Perform deep technical investigations to solve complex performance issues for Microsoft Advertising customers and partners.
• Act to prevent user, partner and customer quality risk issues through industry awareness, new feature risk analysis, progressive policy influence, pre-launch partner quality reviews, fraud/ DSAT trend identification, platform feature recommendations and business quality advocacy.
• Contribute to product improvements by filing bugs and design change requests, and help developers fix and ship them to production.
• Drive root cause analysis and service improvements in close partnership with several Engineering teams.

The Candidate we're looking for

Experience:

• 2+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls.

Technical skills:

• Proficiency in developing tools and automation in C# to improve operational efficiency.

Personal attributes:

• Ability to meet Microsoft, customer and/or government security screening requirements.

Benefits

• Competitive salary range of USD $100,600 - $199,000 per year.
• Comprehensive benefits package including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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What you'll do

• Lead the design and implementation of Synopsys' enterprise governance and enforcement layer for AI agents operating in production environments.
• Define and implement robust runtime controls, including permissions, approvals, guardrails, escalation, and exception handling, to ensure safe and compliant agent actions.

What you need

• 10+ years in enterprise architecture, platform engineering, systems engineering, or related roles.
• Hands-on experience delivering and operating production systems with security, reliability, and audit requirements.

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Microsoft are looking for a talented Principal Software Engineer at their Bengaluru office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

We are looking for a Principal Software Engineer who is hands-on with production coding and system design to build the real-time data pipelines and feature/embedding materialization systems that feed online stores/caches and integrate tightly with ML inference serving. This role is ideal for engineers who enjoy building robust streaming + ETL systems (correctness, idempotency, backfills, late data), owning SLOs with strong observability and operational maturity, and optimizing end-to-end performance and cost across compute, storage, and serving integrations.

Accountabilities

• Design and implement real-time streaming ETL / feature pipelines (e.g., Flink or Spark Structured Streaming) that meet strict freshness and correctness constraints.
• Build and operate reliable messaging and ingestion with Kafka/Pulsar (partitioning strategy, retries, ordering guarantees, DLQs, backpressure handling).

The Candidate we're looking for

Experience:

• Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, or a related field, with 8+ years of related experience.

Technical skills:

• Strong programming skills in language C++, C# or Python (at least one required).
• Hands-on experience in one or more: Building and operating streaming data pipelines in production (Flink or Spark Structured Streaming), Distributed systems engineering with strong reliability and operational rigor, Messaging systems such as Kafka/Pulsar.

Personal attributes:

• Strong communication and collaboration skills, with experience working across engineering, applied science/ML, and product/business stakeholders.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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What you'll do

Take an active, hands-on role in the development of On-Board Charger systems

Support system engineering activities from concept to SOP

Define, manage, and maintain system requirements & specifications

Design and align system architecture, interfaces, and integration concepts

Collaborate closely with hardware, software, and validation teams

Drive technical discussions with customers and support decision-making on OBC concepts and system-level trade-offs

Support problem analysis, root-cause investigations, and solution implementation

Contribute to robust, production-ready OBC solutions

What you need

• Bachelor’s degree in Electrical/Electronics/Controls/Mechatronics Engineering, and preferably, Master’s or PhD

• 2+ years of hands-on experience in OBC or AC/DC power electronics systems

• Series development & SOP experience in automotive projects

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What you'll do

• Support the creation of decision-making documents for line and project leaders within the System Engineering methodology
• Conduct competitor analyses for car body-specific concepts
• Support the execution and preparation of stakeholder requirement assessments for the scope of the car body system within the requirements management
• Support the organization and documentation of project meetings within the car body system

What you need

• A strong understanding of systems engineering principles and methodologies
• Excellent communication and collaboration skills
• Ability to work in a fast-paced environment with multiple priorities
• Proficiency in MS Office and other relevant tools
• Strong analytical and problem-solving skills
• Ability to work independently and as part of a team

Why this matters

As a Systems Engineer at Porsche, you will have the opportunity to work on some of the most exciting and complex projects in the automotive industry. You will be part of a dynamic and collaborative team that is passionate about delivering high-quality vehicles that exceed customer expectations.

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What you'll do

You will act as a strategic technical leader, working hands-on to architect scalable and practical solutions that meet client objectives and integrate seamlessly within their operational frameworks.

• Collaborates with stakeholders to define solution architecture aligned to business goals and enterprise standards
• Owns end-to-end solution design across systems, processes, and data—ensuring scalability, usability, and performance

What you need

• A bachelor's degree in engineering, computer science, project management, business management, or a related field is preferred
• Minimum of seven (7) years of experience in engineering, product development, or enterprise architecture within the automotive, aerospace, or discrete manufactuing industries

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