The successful candidate will provide consistent administrative tasks in the ECR and ECP operation.

Key Responsibilities

• Assist the Chief Engineer as administration assistant, including ERM & Environmental Administrator, and perform related administrative duties such as maintaining logs and digital engineering files.
• Perform various clerical duties like reception, phone handling, typing, auditing, copying, and compiling data.
• Provide support with basic tasks and other related duties such as shipping, inspecting, entering orders, and inventory counts.
• Compile and maintain records for the technical department and other departments as required.
• Operate computer terminals to log, retrieve, and enter data.
• Follow Fleet Regulations (HESSMS) and other Company-mandated internal, external, and government regulations.
• Requires sufficient knowledge of engineering to understand terminology used in administrative tasks.

Skills, Knowledge & Expertise

• Minimum 1 year of experience in a similar role.
• Extensive computer-based work experience.
• Strong organizational skills.
• AMOS experience is preferred.

Benefits

• Certain physical abilities are expected, such as bending, climbing, performing repetitive motions, and lifting heavy objects.
• Must be able to work varied shifts of up to 12 hours per day while on board.

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Responsibilities:

• Design, build, and maintain integrations across a wide range of SaaS applications used throughout the organization
• Work on building and maintaining integration workflows between Cloudflare and a variety of SaaS applications
• Collaborate closely with internal teams to ensure integrations meet business needs and are built following engineering best practices
• Gather requirements, write technical specifications, develop, test, and deploy integrations

Requirements:

• Bachelor's degree in Computer Science or a related field, or equivalent work experience
• Minimum of 3 years of professional experience as a software engineer
• Experience working with internal stakeholders to solve business problems through integration solutions
• Proficiency in Go
• Experience building RESTful APIs with proper service security practices
• Experience working with observability tools such as Grafana, Prometheus, Sentry, or Kibana
• Experience with Kubernetes
• Experience with GitLab or other CI/CD tools

Nice to Have:

• Experience working with ERP systems such as Oracle or NetSuite
• Experience working in an Agile Scrum environment
• Familiarity with tools like Jira and Confluence
• Familiarity with integration patterns such as pub/sub, CDM (Common Data Model), and batch processing
• Experience working with PostgreSQL
• Experience with Cloudflare Developer's Platform

Benefits:

• Opportunity to work on high-impact projects
• Collaborative and dynamic work environment
• Continuous learning and growth opportunities
• Flexible work arrangements

About Cloudflare:

• Named to Entrepreneur Magazine's Top Company Cultures list
• Ranked among the World's Most Innovative Companies by Fast Company
• Protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code

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As a Principal Software Engineer on the Town Lake team, you will lead technical architecture and drive implementation for services across our whole stack, covering areas such as access control, an ingestion framework, AI-driven data classification, a semantic and governance layer, data product/ELT platform, a dashboarding and query tool, and more.

Responsibilities:

• Define, design and execute strategic technical architecture for highly visible, highly critical data infrastructure at the company.
• Lead the design and development of tools and infrastructure to improve and scale our data infrastructure at Cloudflare.
• Lead the design and development of data pipelines and data products to serve customers throughout the company, including tools to automate delivery of those services.
• Become a subject matter expert across both our data platforms, tools and infrastructures as well as our data itself to guide and enable stakeholders with data needs.
• Work across our tech stack, which includes Kubernetes, Trino, Iceberg, Clickhouse, and PostgreSQL, with software built using Go, Javascript/Typescript, Python, and others.
• Mentor and support junior engineers on the team, reinforcing a culture of exceptional delivery and accountability on the team.

Requirements:

• 8+ years of experience as a software engineer with a focus on designing, building and scaling data infrastructure.
• Proven experience leading technical initiatives in a cross-functional context, working with multiple stakeholders and driving value delivery.
• Extensive experience with data infrastructure at scale, including tools like Trino, Spark, Iceberg/Delta Lake, Kafka, Clickhouse, PostgreSQL.
• Experience designing, building and debugging data pipelines at scale.
• Proficient using backend languages like Go, Python, Typescript, and Rust, along with SQL.
• Excellent analytical skills, with a focus on understanding data and how stakeholders use it to drive value.
• Strong communication skills, especially around articulating technical concepts for technical and non-technical audiences.
• Experience creating and using agentic development workflows and an AI-first mentality.

Desirable Skills:

• Experience with data orchestration and infrastructure platforms like Airflow and DBT.
• Experience deploying and managing infrastructure in Kubernetes.
• Experience with data governance platforms and processes, with a focus on privacy and auditability.
• Knowledge about machine learning models and MLOps.

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As a Software Engineer on our team, you will work across a wide range of technologies and systems to deliver new features, improve performance, and increase the scalability of our Network Services products.

You will help evolve our Network Firewall and related security capabilities across both north-south and east-west network architectures, with demanding throughput and latency requirements.

You'll build, deploy, and operate your team's systems on top of one of the largest edge networks in the world.

You'll partner with some of the best engineers and product managers to solve big problems that have a meaningful impact in the lives of our customers and users.

Desirable Skills, Knowledge, and Experience

• Experience building and shipping large-scale, reliable, highly distributed systems
• Systems-level programming experience; experience with Go and/or Rust is valuable
• Expertise in L3 and L4 networking protocols; L2 experience is also valuable
• Experience building high-performance network security products such as network firewalls, IDS/IPS, DDoS mitigation, rate limiting, packet capture, or threat intelligence integrations
• Experience with low-latency userspace packet processing; familiarity with Linux kernel networking primitives such as netfilter, nftables, eBPF, tc, and network namespaces is also valuable
• Experience designing and integrating RESTful APIs and backend systems
• Experience with large-scale distributed data pipelines, from data structuring to efficient querying to data analysis
• Excellent debugging, profiling, and performance optimization skills for high-throughput, latency-sensitive systems

Bonus Points

• Attention to detail and ability to solve complex customer problems
• Own solutions end-to-end and driving the design, development, and deployment process
• Able to work across teams and level common, sustainable solutions
• Creative, open-minded, collaborative problem solver
• Focus on clarity in written and verbal communication

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Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

About the Role

Cloudflare runs one of the world's largest networks, and every API call that configures it, from any customer, integration, or internal service, starts by proving who is calling and what they're allowed to do. The IAM team owns the authentication and authorization systems behind that: the identity layer of the Control Plane operating at global scale. Our surface spans things like login and SSO, OAuth and API tokens, account membership, roles and permissions, and SCIM provisioning.

We're hiring a hands-on senior engineer to work on correctness-critical, high-throughput, highly resilient services. You'll own surfaces end-to-end, chase down hard problems with high agency, and improve systems while they're serving production traffic.

Responsibilities

• Feature development: design and build high-throughput, low-latency IAM capabilities that power both customer-facing and internal service APIs.
• System evolution: contribute to the design and evolution of our authentication and authorization systems into modern, distributed, and edge-capable architectures.
• API and system design: translate product and security requirements into robust, well-structured APIs and technical specifications in collaboration with Product, Security, and UX teams.
• Engineering excellence: maintain a high bar through thorough code reviews, technical design documents, and collaborative problem-solving.
• Operational stewardship: own the reliability of the platform under constant load, ensuring observability and resilience are built into every service.
• AI-assisted development: use AI tools throughout your workflow, from code generation to debugging, and bring the judgment to know when to trust them.

Desirable Skills, Knowledge, and Experience

These are examples of what a strong candidate brings:

• Professional Experience: 5-8 years building and operating production systems at scale.
• Identity Domain Knowledge: Working knowledge of identity protocols and models (OAuth 2.0, OIDC, SAML, SCIM, RBAC/ABAC, and session management, etc.). Hands-on experience implementing identity protocols or fine-grained authorization systems, RBAC, ABAC, relationship-based access control, or policy engines (such as Cedar), in production.
• Language Proficiency: Proficiency in languages like Go and Typescript and comfort working across Cloudflare’s tech stack.
• API Design: Experience designing and building REST APIs: routing, authentication, request lifecycle, and versioning.
• Database & Storage: PostgreSQL and Redis experience: schema design, query optimization, caching strategies, and consistency tradeoffs.
• Distributed Systems: Strong distributed systems intuition: consistency models, event-driven replication, and the implications of global state propagation.
• High Agency: High standards for correctness and security; curious, self-directed, and comfortable driving ambiguous problems to resolution across team boundaries.

Bonus Points

• Experience with credential and token lifecycle systems: issuance, rotation, scoping, revocation, or service-to-service authentication at scale.
• Familiarity with the Cloudflare developer platform: Workers, Durable Objects, KV, R2, etc.
• Experience incrementally re-architecting a large, long-lived codebase under production traffic, and familiarity with containerized deployment (Docker, Kubernetes), infrastructure as code (Terraform), and observability tooling (Prometheus, Grafana, Kibana).

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.

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Responsibilities:

• Own the content architecture for Developer GTM
• Build and run the systems that scale quality
• Write and build flagship content
• Drive developer acquisition and activation
• Be the AI-native edge
• Read the industry and turn it into motion
• Raise the floor

Requirements:

• 12+ years at the intersection of technical content, developer education, and software engineering
• Exceptional technical writing and editing
• Real engineering depth
• Experience building automated content systems
• Content analytics and experimentation chops
• Information architecture and editorial standards experience

Benefits:

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance
• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan
• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

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You'll lead our hardest cross-functional projects, drive them to delivery, and keep partner teams on track. Your day-to-day will involve improving how we visualize pipeline, building sales tools that flag the right moment to reach out to a customer, and making the developer buying journey smoother.

The work is a mix of data engineering, full-stack product, and applied AI, and you'll build it on Cloudflare's own developer platform.

Responsibilities:

• Design and implement features in Golang, Typescript, and SQL.
• Build and operate production services on Cloudflare Workers and Kubernetes.
• Own the data foundation including Query Engine, Workflows, MCP/APIs, and other internal-facing products and services.
• Own projects end to end; from design docs and schema changes through implementation, testing, deployment, and production monitoring.
• Participate in on-call rotations, drive incident resolution, and write postmortems that improve reliability.
• Use AI tools extensively to accelerate development, debugging, and operational tasks.
• Collaborate across teams to coordinate capacity planning, API contracts, and cross-cutting initiatives.
• Embed with Sales, Marketing, Developer Relations, and Growth to turn fuzzy operational pain into shipped software.
• Help set the standard for GTM engineering organization-wide.

Desirable Skills, Knowledge, and Experience:

• 10+ years of software engineering experience with a demonstrated history of leading complex, organization-wide data initiatives.
• Deep expertise in building distributed systems and production infrastructure at scale, with proficiency in Go and strong working knowledge of TypeScript.
• Exceptional ability to navigate ambiguous problem spaces, identify the highest-impact technical work, and drive projects autonomously from conception through adoption.
• Deep analytical SQL and data modeling experience.
• Proven ability to manage complexity even at thousands of tables.
• Able to debug database and query performance issues using profiling tools and source code where applicable.

Nice to have:

• Previous experience as a Principal Engineer, Staff+ engineer, or technical leader on platform, infrastructure, or task force teams that operate outside traditional product roadmaps with a focus on enabling GTM organizations.
• Columnar/OLAP or lakehouse experience (ClickHouse, DuckDB, BigQuery, Snowflake, Iceberg, Starrocks).
• Familiarity with the Salesforce data model and CRM/API integrations.
• Familiarity with deploying to bare metal and Kubernetes.
• Experience on Cloudflare Workers / edge platforms and analytics-engineering (dbt) workflows.
• Background in SaaS or product-led growth (PLG) GTM motions.

Compensation: Compensation may be adjusted depending on work location. Equity: This role is eligible to participate in Cloudflare's equity plan. Benefits: Cloudflare offers a complete package of benefits and programs to support you and your family.

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Responsibilities:

• Design, build, and maintain integrations across a wide range of SaaS applications used throughout the organization
• Work on building and maintaining integration workflows between Cloudflare and a variety of SaaS applications
• Collaborate closely with internal teams to ensure integrations meet business needs and are built following engineering best practices
• Gather requirements, write technical specifications, develop, test, and deploy integrations

Requirements:

• Bachelor's degree in Computer Science or a related field, or equivalent work experience
• Minimum of 5 years of professional experience as a software engineer
• Experience working with internal stakeholders to solve business problems through integration solutions
• Proficiency in Go
• Experience building RESTful APIs with proper service security practices
• Experience working with observability tools such as Grafana, Prometheus, Sentry, or Kibana
• Experience with Kubernetes
• Experience with GitLab or other CI/CD tools

Nice to Have:

• Experience working with ERP systems such as Oracle or NetSuite
• Experience working in an Agile Scrum environment
• Familiarity with tools like Jira and Confluence
• Familiarity with integration patterns such as pub/sub, CDM (Common Data Model), and batch processing
• Experience working with PostgreSQL
• Experience with Cloudflare Developer's Platform

Benefits:

• Opportunity to work on high-impact projects
• Collaborative and dynamic work environment
• Continuous learning and growth opportunities
• Flexible work arrangements

About Cloudflare:

• Named to Entrepreneur Magazine's Top Company Cultures list
• Ranked among the World's Most Innovative Companies by Fast Company
• Committed to providing equal employment opportunity for all people

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About the Department: Cloudflare's Enterprise Integrations Engineering Team designs, builds, and maintains integrations across a wide range of SaaS applications used throughout the organization.

About the Role: You will build out and lead a team of talented engineers responsible for designing, implementing, and maintaining Cloudflare's internal integrations solutions. You will oversee the development of scalable, highly reliable integration infrastructure designed to facilitate organizational change as we scale.

Responsibilities:

• Build out and lead a team of talented engineers
• Design, implement, and maintain Cloudflare's internal integrations solutions
• Oversee the development of scalable, highly reliable integration infrastructure
• Grow and mentor a high-performing engineering team
• Communicate effectively, manage priorities, and navigate a fast-paced environment

Desirable Skills, Knowledge, and Experience:

• Experience leading a team of senior engineers
• Experience working with cross-functional teams, driving alignment, and clearly creating and communicating technical direction
• Comfortable leading and hiring a team that builds the backend APIs and Integrations
• Excel at planning, creating teams and overseeing execution to meet commitments and deliver with predictability
• Comfortable building developer-loved APIs that scale
• Demonstrate a track record of leading a team including hiring, on-boarding, and professional development

Bonus Points:

• Proficiency in Go
• Experience building RESTful APIs with proper service security practices
• Experience working with observability tools such as Grafana, Prometheus, Sentry, or Kibana
• Experience with Kubernetes
• Experience with GitLab or other CI/CD tools

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Cloudflare’s Billing Engineering team builds and operates the systems responsible for usage metering, aggregation, subscriptions, invoicing, payments, and revenue recognition. These systems power billions in revenue and support millions of customers across Cloudflare’s product portfolio.

As a Senior Billing Systems Engineer, you will design reliable financial infrastructure, lead projects from requirements through production, and help ensure billing remains accurate as Cloudflare grows.

Responsibilities

• Build Billing Systems: Design, develop, and operate transactional microservices supporting metering, subscriptions, invoicing, payments, and financial workflows.
• Own Projects End to End: Drive initiatives from requirements and technical design through implementation, testing, deployment, and ongoing operation.
• Ensure Accuracy and Reliability: Build fault-tolerant systems that safely handle retries, failures, concurrency, and high transaction volumes while preserving financial correctness.
• Maintain Operational Excellence: Monitor production services, investigate billing issues, improve observability, and address the underlying causes of recurring incidents.
• Shape Technical Direction: Participate in architecture reviews, make pragmatic technical trade-offs, and help improve engineering standards across the billing platform.
• Collaborate Cross-Functionally: Work with Product, Finance, Accounting, Support, and other engineering teams to turn complex business requirements into maintainable solutions.

Desirable Skills, Knowledge, and Experience

• Five or more years of professional software engineering experience, or equivalent practical experience.
• Experience building and operating distributed systems or backend services in production.
• Proficiency in Go or another modern programming language, with an interest in working extensively with Go.
• Strong understanding of RESTful APIs, service security, and API standards such as OpenAPI, OAuth, or JWT.
• Working knowledge of SQL, data modeling, and relational databases such as PostgreSQL or MySQL.
• Experience designing secure, highly available microservices in Linux or Unix environments.
• Familiarity with event-driven architectures and asynchronous processing.
• Strong troubleshooting, communication, and project ownership skills.

Bonus Points

• Experience with billing, payments, subscriptions, usage metering, invoicing, financial ledgers, or revenue recognition.
• Experience with technologies such as PostgreSQL, Redis, Kafka, Kubernetes, Docker, or Temporal.
• Familiarity with reconciliation, idempotency, auditability, and financial data integrity.
• Experience leading technically complex projects across multiple teams.

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Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Robinhood Wallet team’s mission is to democratize access to financial services worldwide by leveraging DeFi protocols and Robinhood Chain! We build secure, intuitive, and decentralized products that enable our users to custody and manage their digital assets. Our team works at the intersection of traditional finance and web3, driving progress in cryptocurrency and blockchain applications.

As a Software Engineer, you will build and own the backend services, infrastructure, and data systems that support Robinhood Wallet products. You will develop new features and system enhancements to deliver a highly secure and efficient trading experience for cryptocurrencies and tokenized stocks, including perpetual futures, to customers worldwide.

What you’ll do

• Design, build, test, and deploy scalable backend services that power Robinhood Wallet.
• Develop product-facing features and platform enhancements that meet strict correctness and scalability standards.
• Identify and implement improvements to system performance, engineering productivity, and risk reduction.
• Collaborate closely with client teams, product managers, designers, and external vendors to deliver reliable technical solutions.

What you bring

• 2+ years of experience in software development.
• Expertise in backend development using languages such as Go, Python, or Java, with deep knowledge of cloud-native architectures.
• Strong grasp of system design, data modeling, and software engineering fundamentals.
• Proven ability to simplify complex problems, make sound tradeoffs, and drive alignment across product, engineering, and design teams.
• Strong sense of personal accountability with a track record of delivering successful, end-to-end products and raising team-wide technical standards.

Bonus points

• Experience working for a DeFi protocol, a crypto wallet company, or another blockchain-related company.
• Familiarity with technologies like EVM blockchains and smart contracts.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

The expected base pay range for this role is: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$166,000-$195,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)$147,000-$172,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$130,000-$152,000 USD

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Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Robinhood Wallet team’s mission is to democratize access to financial services worldwide by leveraging DeFi protocols and Robinhood Chain! We build secure, intuitive, and decentralized products that enable our users to custody and manage their digital assets. Our team works at the intersection of traditional finance and web3, driving progress in cryptocurrency and blockchain applications. We work closely across multiple engineering and design areas to deliver highly reliable, high-performance systems for customers worldwide.

As a Software Developer, you will build and own the backend services, infrastructure, and data systems that support Robinhood Wallet products. You will develop new features and system enhancements to deliver a highly secure and efficient trading experience for cryptocurrencies and tokenized stocks, including perpetual futures, to customers worldwide. In this role, you will design scalable architectures and maintain high-quality codebases. You will also collaborate with other engineering teams to guide key technical decisions and raise our team's engineering standards.

This role is based in our Toronto, ON office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Design, build, test, and deploy scalable backend services that power Robinhood Wallet.
• Develop product-facing features and platform enhancements that meet strict correctness and scalability standards.
• Identify and implement improvements to system performance, engineering productivity, and risk reduction.
• Collaborate closely with client teams, product managers, designers, and external vendors to deliver reliable technical solutions.

What you bring

• 2+ years of experience in software development.
• Expertise in backend development using languages such as Go, Python, or Java, with deep knowledge of cloud-native architectures.
• Strong grasp of system design, data modeling, and software engineering fundamentals.
• Proven ability to simplify complex problems, make sound tradeoffs, and drive alignment across product, engineering, and design teams.
• Strong sense of personal accountability with a track record of delivering successful, end-to-end products and raising team-wide technical standards.

Bonus points

• Experience working for a DeFi protocol, a crypto wallet company, or another blockchain-related company.
• Familiarity with technologies like EVM blockchains and smart contracts.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.
• Monthly commuter stipend to help offset in-office commuting costs

XML job scraping automation by YubHub

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Robinhood Wallet team’s mission is to democratize access to financial services worldwide by leveraging DeFi protocols and Robinhood Chain! We build secure, intuitive, and decentralized products that enable our users to custody and manage their digital assets. Our team works at the intersection of traditional finance and web3, driving progress in cryptocurrency and blockchain applications. We work closely with product managers, product designers, and security engineers to deliver highly reliable, high-performance systems for customers worldwide.

As a Senior Software Developer, you’ll build and own the backend services, infrastructure, and data systems that support Robinhood Wallet products. You will develop reliable and secure solutions to deliver a high-quality trading experience for cryptocurrencies and tokenized stocks, including perpetual futures, to customers worldwide. In this role, you will take lead responsibility for designing scalable architectures and maintaining high-quality codebases. You will collaborate closely with client engineers, security professionals, and external node providers to deliver high-quality, secure technical integrations. Additionally, you will mentor other engineers and raise our overall engineering standards through design reviews, architecture discussions, and hands-on technical leadership.

What you’ll do

• Design, build, test, and deploy scalable backend services that power Robinhood Wallet.
• Develop product-facing features and platform enhancements that meet strict correctness and scalability standards.
• Identify and implement improvements to system performance, engineering productivity, and risk reduction.
• Collaborate closely with client teams, product managers, designers, and external vendors to deliver reliable technical solutions.
• Mentor other engineers and raise the technical standards of the team through design reviews, architecture discussions, and hands-on leadership.

What you bring

• 5+ years of experience in software development.
• Expertise in backend development using languages such as Go, Python, or Java, with deep knowledge of cloud-native architectures.
• Strong grasp of system design, data modeling, and software engineering fundamentals.
• Proven ability to simplify complex problems, make sound tradeoffs, and drive alignment across product, engineering, and design teams.
• Strong sense of personal accountability with a track record of delivering high-quality, end-to-end products and raising team-wide technical standards.

Bonus points

• Experience working for a DeFi protocol, a crypto wallet company, or another blockchain-related company.
• Familiarity with technologies like EVM blockchains and smart contracts.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.
• Monthly commuter stipend to help offset in-office commuting costs

XML job scraping automation by YubHub

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Robinhood Wallet team’s mission is to democratize access to financial services worldwide by leveraging DeFi protocols and Robinhood Chain! We build secure, intuitive, and decentralized products that enable our users to custody and manage their digital assets. Our team works at the intersection of traditional finance and web3, driving progress in cryptocurrency and blockchain applications. We work closely with product managers, product designers, and security engineers to deliver highly reliable, high-performance systems for customers worldwide. We pride ourselves on a culture of shared learning, high technical standards, and respectful collaboration. As a Senior Software Engineer, you’ll build and own the backend services, infrastructure, and data systems that support Robinhood Wallet products. You will develop reliable and secure solutions to deliver a high-quality trading experience for cryptocurrencies and tokenized stocks, including perpetual futures, to customers worldwide. In this role, you will take lead responsibility for designing scalable architectures and maintaining high-quality codebases. You will collaborate closely with client engineers, security professionals, and external node providers to deliver high-quality, secure technical integrations. Additionally, you will mentor other engineers and raise our overall engineering standards through design reviews, architecture discussions, and hands-on technical leadership. This role is based in our Menlo Park, CA or New York, NY office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Design, build, test, and deploy scalable backend services that power Robinhood Wallet.
• Develop product-facing features and platform enhancements that meet strict correctness and scalability standards.
• Identify and implement improvements to system performance, engineering productivity, and risk reduction.
• Collaborate closely with client teams, product managers, designers, and external vendors to deliver reliable technical solutions.
• Mentor other engineers and raise the technical standards of the team through design reviews, architecture discussions, and hands-on leadership.

What you bring

• 5+ years of experience in software development.
• Expertise in backend development using languages such as Go, Python, or Java, with deep knowledge of cloud-native architectures.
• Strong grasp of system design, data modeling, and software engineering fundamentals.
• Proven ability to simplify complex problems, make sound tradeoffs, and drive alignment across product, engineering, and design teams.
• Strong sense of personal accountability with a track record of delivering high-quality, end-to-end products and raising team-wide technical standards.

Bonus points

• Experience working for a DeFi protocol, a crypto wallet company, or another blockchain-related company.
• Familiarity with technologies like EVM blockchains and smart contracts.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$196,000-$230,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)$172,000-$202,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$153,000-$179,000 USD

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Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Custody Services team’s mission is to build secure, scalable systems that safeguard digital assets and support the full lifecycle of custody operations. The team partners closely with product, infrastructure, and security to deliver reliable backend services that enable asset movement, account integrity, and platform growth.

As a Senior Software Engineer, you will design and build backend systems that power custody services, including asset transfers, settlement workflows, and account state management. You will help improve platform reliability, scalability, and operational excellence while working on systems where correctness, security, and precise execution are critical to user trust.

This role is based in our London office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• You’ll design and build backend services that support custody operations, including asset transfers, settlement workflows, and account state management.
• You’ll improve system scalability, resiliency, and performance by identifying bottlenecks and implementing targeted optimizations.
• You’ll maintain and enhance systems that support asset safety, transaction accuracy, and operational integrity across custody workflows.

What you bring

• You have 5+ years of experience building backend systems in production environments.
• You are familiar with cloud infrastructure, including AWS services.
• You have experience designing reliable, scalable distributed systems with a strong focus on correctness and operational excellence.

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Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Robinhood Wallet team’s mission is to democratize access to financial services worldwide by leveraging DeFi protocols and Robinhood Chain! We build secure, intuitive, and decentralized products that enable our users to custody and manage their digital assets. Our team works at the intersection of traditional finance and web3, driving progress in cryptocurrency and blockchain applications. We work closely with product managers, product designers, and backend engineers to deliver highly reliable, high-performance systems for customers worldwide. We pride ourselves on a culture of shared learning, high technical standards, and respectful collaboration.

As a Senior Android Engineer, you’ll build and own new product features for the Robinhood Wallet Android app. You will develop reliable and secure solutions to deliver a high-quality trading experience for cryptocurrencies and tokenized stocks, including perpetual futures, to customers worldwide. In this role, you will take lead responsibility for designing scalable mobile architectures, defining code standards, and maintaining high-quality codebases. You will collaborate closely with client engineers, backend developers, product designers, and external blockchain partners to deliver secure technical integrations. Additionally, you will mentor other developers and raise our overall engineering standards through design reviews, architecture discussions, and hands-on technical leadership. This role is based in our Menlo Park, CA or New York, NY office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Build intuitive, elegant, and stable mobile experiences using Kotlin, Jetpack Compose, and modern Android APIs.
• Lead the full lifecycle of product features , from ideation and technical design to implementation, testing, and release.
• Collaborate closely with product managers, product designers, backend engineers, and data scientists to create impactful solutions.
• Champion mobile development standards and code review processes that ensure high quality, scalability, and maintainability.
• Mentor other developers and help elevate team standards and collaboration.

What you bring

• 5+ years of professional experience developing Android applications.
• Proficiency with Kotlin and/or Java, and a strong grasp of Android SDK and architecture patterns like MVVM.
• Experience using Jetpack Compose, Coroutines & Flow or RxJava, and libraries such as Retrofit and Room.
• Strong collaboration and communication skills with a product-focused perspective.
• Demonstrated ability to mentor peers, lead complex projects, and influence architecture decisions.

Bonus points

• Experience working for a DeFi protocol, a crypto wallet company, or another blockchain-related company.
• Familiarity with technologies like EVM blockchains and smart contracts.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$196,000-$230,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)$172,000-$202,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$153,000-$179,000 USD

XML job scraping automation by YubHub

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Robinhood Wallet team’s mission is to democratize access to financial services worldwide by leveraging DeFi protocols and Robinhood Chain! We build secure, intuitive, and decentralized products that enable our users to custody and manage their digital assets. Our team works at the intersection of traditional finance and web3, driving progress in cryptocurrency and blockchain applications. We work closely with product managers, product designers, and backend engineers to deliver highly reliable, high-performance systems for customers worldwide.

As a Senior Android Developer, you’ll build and own new product features for the Robinhood Wallet Android app. You will develop reliable and secure solutions to deliver a high-quality trading experience for cryptocurrencies and tokenized stocks, including perpetual futures, to customers worldwide. In this role, you will take lead responsibility for designing scalable mobile architectures, defining code standards, and maintaining high-quality codebases. You will collaborate closely with client engineers, backend developers, product designers, and external blockchain partners to deliver secure technical integrations. Additionally, you will mentor other developers and raise our overall engineering standards through design reviews, architecture discussions, and hands-on technical leadership.

What you’ll do

• Build intuitive, elegant, and stable mobile experiences using Kotlin, Jetpack Compose, and modern Android APIs.
• Lead the full lifecycle of product features , from ideation and technical design to implementation, testing, and release.
• Collaborate closely with product managers, product designers, backend engineers, and data scientists to create impactful solutions.
• Champion mobile development standards and code review processes that ensure high quality, scalability, and maintainability.
• Mentor other developers and help elevate team standards and collaboration.

What you bring

• 5+ years of professional experience developing Android applications.
• Proficiency with Kotlin and/or Java, and a strong grasp of Android SDK and architecture patterns like MVVM.
• Experience using Jetpack Compose, Coroutines & Flow or RxJava, and libraries such as Retrofit and Room.
• Strong collaboration and communication skills with a product-focused perspective.
• Demonstrated ability to mentor peers, lead complex projects, and influence architecture decisions.

Bonus points

• Experience working for a DeFi protocol, a crypto wallet company, or another blockchain-related company.
• Familiarity with technologies like EVM blockchains and smart contracts.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.
• Monthly commuter stipend to help offset in-office commuting costs

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This role will serve as a customer-facing technical expert for Hivemind, helping translate customer mission needs into credible, technically feasible solutions.

The FSE will partner closely with Business Development, Product, Engineering, Customer Engagement, and Program teams to support demos, technical interchange meetings, RFIs, RFPs, white papers, and customer-specific solution development.

This position requires a strong technical foundation in autonomy, mission software, simulation, and AI-enabled systems.

The ideal candidate will bring direct experience with Department of War simulation environments, live-virtual-constructive training and test ecosystems, synthetic environments, image-generation systems, and/or synthetic data workflows.

This person should be comfortable explaining complex technical systems to customers, shaping demos around mission objectives, and feeding customer insights back into product and engineering teams.

The Field Solutions Engineering team acts as a BD force multiplier, bridging Shield AI’s technical roadmap to customer needs and ensuring customer-facing solutions are accurate, feasible, and mission-relevant.

Required qualifications:

• 7+ years of experience in solutions engineering, field applications engineering, systems engineering, technical sales, autonomy, robotics, simulation, defense software, or related technical customer-facing roles.
• Strong technical understanding of autonomy, AI-enabled systems, mission software, simulation environments, or complex defense technology systems.
• Experience supporting customer-facing technical engagements such as demos, technical briefings, proposal support, integration discussions, or technical interchange meetings.
• Demonstrated experience with one or more of the following areas: Department of War simulation systems, live-virtual-constructive environments, synthetic training environments, synthetic data generation, image-generation systems, simulation-based test and evaluation, or mission rehearsal workflows.
• Ability to translate customer mission needs into technically feasible solution concepts, requirements, demos, and product feedback.
• Strong written and verbal communication skills, with the ability to explain complex technical concepts to technical, operational, BD, and leadership audiences.
• Ability to work cross-functionally with Business Development, Product Management, Engineering, Customer Engagement, and Program teams.
• Strong judgment in representing product capabilities, limitations, and roadmap dependencies to customers.
• Ability to manage ambiguity, prioritize competing demands, and execute in a fast-paced environment.
• Willingness and ability to travel for customer engagements, demonstrations, exercises, and internal meetings.
• Ability to obtain and maintain a U.S. security clearance.

Preferred qualifications:

• Direct experience supporting Department of War simulation, modeling and simulation, test and evaluation, training, experimentation, or mission rehearsal programs.
• Experience with LVC architectures, simulation interoperability, synthetic environments, constructive entities, digital twins, or operational test environments.
• Experience with image-generation systems, synthetic imagery, AI-generated training data, computer vision datasets, sensor simulation, or perception model evaluation.
• Hands-on experience with Python, Linux, APIs, SDKs, simulation tooling, autonomy software, robotics middleware, or technical prototyping.
• Familiarity with autonomy development workflows, including simulation-in-the-loop, hardware-in-the-loop, software-in-the-loop, mission rehearsal, test automation, or scenario generation.
• Experience working with U.S. DoD customers, defense primes, government labs, test ranges, training organizations, or operational units.
• Experience supporting proposals, RFIs, RFPs, white papers, technical volumes, or capture activities.
• Prior military, defense, aerospace, robotics, or advanced simulation experience.
• Active U.S. security clearance.

Additional Information

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) 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. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits.

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This role is ideal for a hands-on engineer who enjoys working across software, hardware, aircraft systems, and flight operations in fast-paced field environments. The position combines autonomy software development, system integration, and real-world flight testing across unmanned and autonomous platforms.

The ideal candidate is comfortable writing and debugging software, integrating autonomy systems onto fixed-wing, multirotor, and other unmanned or autonomous systems, troubleshooting issues in both lab and field environments, and supporting live flight operations under evolving operational conditions.

Responsibilities:

• Develop and contribute production-quality software features and capabilities for autonomous systems
• Design, implement, debug, and maintain software components supporting autonomy, mission execution, system integration, and flight operations
• Integrate autonomy software onto fixed-wing, multirotor, and other unmanned or autonomous systems
• Develop internal tools, automation, telemetry analysis pipelines, and test infrastructure in C++ and Python
• Support software bring-up, system configuration, and mission readiness for flight operations
• Debug and troubleshoot issues across autonomy software, onboard compute, radios, networking, sensors, flight controllers, and mission systems
• Support simulation, SIL, HIL, VIL, ground testing, and live flight test activities
• Support field demonstrations and operational test events, including pre-flight setup, system validation, troubleshooting, and post-flight analysis
• Operate and troubleshoot Ground Control Stations (GCS) and mission support systems
• Capture, analyze, and review flight and system data to support root cause analysis and system improvements
• Work closely with autonomy, systems, hardware, and flight test teams to rapidly integrate and validate new capabilities
• Support rapid software iteration and operational testing in dynamic startup and field environments
• Contribute to operational documentation, test procedures, integration workflows, and deployment readiness activities
• Travel to test sites and support field operations as required

Required qualifications:

• Bachelor’s degree in Computer Science, Robotics, Aerospace Engineering, Electrical Engineering, Mechanical Engineering, or related field, or equivalent practical experience
• 3+ years of experience developing and integrating software for robotics, autonomy, aerospace, embedded systems, or related technical fields
• Strong software engineering experience in C++ and Python, including development, debugging, and system integration
• Experience contributing to complex software systems in robotics, autonomy, aerospace, embedded systems, or related domains
• Experience working with Linux-based systems and development environments
• Hands-on experience integrating and troubleshooting hardware and software systems
• Experience supporting field testing, flight testing, demonstrations, or operational exercises
• Familiarity with MAVLink, PX4, ArduPilot, QGroundControl, or related unmanned systems technologies
• Experience debugging distributed or cross-disciplinary systems involving software, networking, sensors, radios, onboard compute, and mission systems
• Strong sense of ownership and ability to operate independently in fast-paced environments
• Strong problem-solving mindset and willingness to work across disciplines
• Ability to travel within Ukraine as required

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As a Senior Applications Engineer, Autonomy, you will work closely with customers to understand their requirements, provide technical expertise during deployment, and ensure successful integration of AI and autonomy products.

Responsibilities:

• Deploy with customers on site globally (~50% travel) to support software integration and development activities.
• Become an expert user of the Hivemind enterprise software stack and its various autonomy modules.
• Provide technical support and training to customers.
• Develop AI & Autonomy applications using the Shield AI enterprise software development kit.
• Assist the sales team in pre-sales activities, e.g., demos, conferences, immersions.
• Assist in post-sales deployment and integration of Shield AI enterprise software products.
• Develop and maintain technical documentation and training materials.
• Help customers debug software/API integration issues.
• Collaborate with the product engineering team to address customer feedback and improve products.

Requirements:

• Bachelor’s degree in Engineering, Computer Science, or a related field.
• 5+ years of industry experience.
• 2+ years of experience in an integration/applications engineering role.
• 2+ years of experience working in a startup environment.
• Strong technical background in software engineering.
• Strong proficiency in writing modern C++ code.
• Intermediate proficiency in writing Python code.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.

Preferred qualifications:

• Experience in the defense aviation or robotics industry.
• Experience building and running a small enterprise software applications/solutions engineering team.
• Advanced technical degree, especially in robotics or autonomy related fields.

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Responsibilities:

• Lead technical capture efforts for European opportunities, ensuring solutions are technically sound, feasible, and aligned with Shield AI's product roadmap.
• Manage multiple priorities in a dynamic, fast-paced environment, including customer engagements, pre-sales technical support, proposal contributions, and solution development.
• Develop and execute technical strategies that result in high-quality, compliant, and compelling proposals to maximize win probability.
• Serve as the primary technical lead for BD engagements in Europe, interfacing cross-functionally with BD, BD Operations, Engineering, Operations, Program Management, and Product Management to ensure customer needs are met.
• Manage technical content for proposals, requests for information (RFIs), white papers, and capability briefs, ensuring accuracy, clarity, and compliance.
• Support BD and Account Executives by becoming a Subject Matter Expert in Shield AI products, providing technical expertise in customer engagements, capability briefings, and solution discussions to drive successful sales outcomes.
• Act as a liaison between BD and Engineering, ensuring that new customer requests are technically feasible and align with product capabilities, timelines, and roadmaps.
• Contribute to the technical documentation repository, maintaining capability briefs, specifications, FAQs, and other sales collateral for internal and external use.
• Provide training and mentorship to BD teams on technical aspects of Shield AI's solutions, enabling them to articulate our value proposition confidently.
• Support competitive analysis and market intelligence, ensuring the BD team remains informed on industry trends and competitor capabilities.
• Contribute to process improvement efforts, leveraging lessons learned from customer engagements to refine BD workflows and technical capture strategies.
• Analyze the unique operational and environmental factors of the assigned region, producing high-impact white papers and briefs that inform the product roadmap and drive solutions aligned to customer mission needs.

Required Qualifications:

• 5+ years of experience in technical presales, business development, or solutions engineering, preferably in defense, aerospace, AI-driven technology, or U.S. Federal/International government environments.
• Bachelor's degree in engineering or related field.
• Experience working with U.S. Federal or International government requirements.
• Strong technical acumen in Aircraft, UAS, multispectral sensor systems, AI, autonomy, and defense technology (experience with V-BAT, Hivemind, and Vision Systems preferred).
• Outstanding analytical and quantitative problem-solving skills, with a demonstrated aptitude for technical assessments and solution development.
• Strong technical writing ability to author requests for information, abstracts, and quad charts.
• Proven leadership experience in a work setting and/or through extracurricular activities.
• Exceptional communication skills, with the ability to translate complex technical concepts into clear, compelling messaging for both technical and non-technical stakeholders.
• Ability to work collaboratively in a cross-functional team environment and effectively engage with stakeholders at all levels of an organization.
• Track record of high performance, including a demonstrated work ethic, reliability as a teammate, kindness, and commitment to high standards.
• Ability to thrive in a fast-paced, nontraditional defense contractor environment.

Preferred Qualifications:

• Experience managing Foreign Military Sale and Direct Commercial Sale proposals.
• Strong technical background especially with Unmanned Aircraft Systems (UASs).
• Demonstrated thorough understanding and knowledge of the military operations and the acquisition process.
• 3+ years of experience in an presales/solutions engineering role.
• 3+ years of experience working in a startup environment.
• Demonstrated understanding of specific DoD operational scenarios and systems.
• Active DoD security clearance.

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We are seeking a Senior Mechanical/Cryogenic Engineer to own the mechanical architecture of our quantum hardware systems, from room-temperature infrastructure down to the millikelvin core of our dilution refrigerators.

You will lead the design of the cryogenic signal chain, define mechanical interfaces across thermal stages, and work directly alongside quantum physicists, RF engineers, and systems teams.

This is a high-ownership role: you will drive design decisions end-to-end, from concept through qualification, on some of the most technically demanding hardware in the industry.

Key Responsibilities

Cryogenic Hardware Design

• Own the mechanical design of cryogenic hardware from 300 K to millikelvin , thermal anchoring, RF wiring, flex interconnects, coaxial routing, filter housings, and connector packaging across all temperature stages.
• Lead the full design lifecycle: concept, CAD, GD&T drawings, BOMs, tolerance analysis, prototype builds, qualification testing, and manufacturing release.
• Define cryogenic mechanical interfaces and thermal conduction budgets; drive design-for-manufacturability with external machine shops and precision vendors.

Simulation & Analysis

• Perform mechanical, thermal, and vibration analyses independently using COMSOL, ANSYS, or equivalent; use simulation results to drive design decisions and iteration.
• Conduct tolerance stack-up analyses for multi-component assemblies in constrained cryostat environments.

Integration, Leadership & Collaboration

• Lead prototype builds, system integration, and cryogenic bring-up; diagnose integration failures and drive root cause analysis.
• Serve as the mechanical lead in cross-functional programs alongside quantum physicists, RF engineers, and systems teams, mentor junior engineers and lead design reviews.
• Maintain rigorous documentation , CAD models, drawings, BOMs, and revision-controlled design records , within the company PLM system.

Required Qualifications

• B.S. or M.S. in Mechanical Engineering or related field (M.S. preferred).
• 7+ years designing complex mechanical or electromechanical systems with end-to-end hardware ownership.
• Expert-level SolidWorks , large assemblies, GD&T-compliant drawing packages, and DFM workflows.
• Independent proficiency in SolidWorks, COMSOL or ANSYS for thermal and structural analysis.
• Experience with hardware operating in cryogenic, vacuum, or extreme thermal environments.
• Strong ME fundamentals: stress analysis, tolerance stack-ups, materials selection, and failure mode analysis.
• Proven ability to lead technical efforts and collaborate across multidisciplinary teams.

Preferred Qualifications

• Direct experience with dilution refrigerators, cryostats, or sub-Kelvin systems in quantum computing or precision instrumentation.
• Knowledge of superconducting quantum hardware architecture and millikelvin design constraints.
• RF/microwave packaging experience: connector specification, hermetic sealing, and cable routing in cryostats.
• Familiarity with cleanroom protocols, vacuum-compatible assembly, and contamination-sensitive environments.

Additional Information

As engineering leaders, we value diversity and are committed to building a culture of inclusion to attract and engage innovative thinkers. Our technology, meant to serve all of humanity, cannot succeed if those who built it do not mirror the diversity of the communities we serve. Applications from women, minorities, and other under-represented groups are encouraged.

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The Senior Data Engineer will design, build, operate, and improve large-scale data pipelines and foundational data products that power Komodo's Healthcare Map, analytics products, and downstream AI/ML-enabled use cases.

Key Responsibilities:

• Build, operate, and optimize large-scale production data pipelines using Python, SQL, Airflow, cloud infrastructure, and distributed processing frameworks.
• Transform massive healthcare claims, EHR, and reference datasets into trusted, performant Healthcare Map data products and serving-ready data assets.
• Strengthen pipeline reliability through data quality checks, validation, lineage, observability, monitoring, and alerting.
• Debug complex data, system, and performance issues across computationally intensive workflows.
• Partner with Data Product Quality, Product, Platform, and Engineering teams to translate healthcare data needs into scalable technical solutions.

What you bring to Komodo Health:

• Healthcare data experience across claims, clinical, RWE, provider, patient, or life sciences datasets, including coding systems such as ICD-10, CPT, NDC, or NPI.
• Strong hands-on experience building, operating, and debugging production-grade data pipelines at scale.
• Advanced Python and SQL skills, with experience in Airflow or similar workflow orchestration tools.
• Experience with Spark or comparable distributed data processing frameworks.
• Proven experience designing and operating data solutions in AWS.

The pay range for this role is: San Francisco Bay Area and New York City: $196,000-$230,000 USD All Other US Locations: $170,000-$200,000 USD

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Responsibilities:

• Embed & Map: Travel to client sites to map supply chain processes, audit legacy systems, and translate operational constraints into technical architectures.
• Design and build production solutions spanning customer applications, internal tools, APIs, data pipelines, and workflow automations.
• Build & Deploy Applied AI Solutions: Design and ship production-grade AI applications and decision engines.
• Solve Complex Mathematical Optimization: Apply optimization algorithms to logistics challenges such as routing, mode selection, and inventory positioning.
• Own the 90-Day Sprint Lifecycle: Drive high-velocity deployment sprints, taking solutions from discovery to live production deployment.
• Productize the Field: Partner with core Product and Platform Engineering teams to turn custom client builds into reusable platform capabilities.
• Bridge Engineering & Operations: Work with frontline logistics teams to validate code in live operational workflows.
• Drive Executive Decisions: Communicate technical trade-offs, system architecture, and financial outcomes to client technical leaders and C-suite executives.

Requirements:

• Educational Background: BA/BS degree or equivalent in Computer Science, Software Engineering, Operations Research, or a related technical field.
• Full-Stack Production Engineering: 4+ years of professional software engineering experience building customer-facing or mission-critical applications.
• Hands-on AI & Systems Experience: Demonstrated ability to build and integrate AI/ML solutions.
• Data & System Architecture Mastery: Strong skills in designing data models, pipeline transformations, and API integrations.
• Customer-Facing Drive: Passion for going on-site, whiteboarding complex workflows with executive stakeholders, and building deep trust with technical and business teams.
• Systems Thinking & Problem Solving: Ability to reason through messy real-world data and imperfect operational dependencies.
• Bias for Action & Ownership: High autonomy, self-starter mentality, and a track record of delivering end-to-end projects with measurable financial or operational impact.
• Mobility: Willingness to travel to customer headquarters and logistics sites as needed.

Bonus Points:

• Domain knowledge in global supply chain, ocean/air freight, customs compliance, warehousing, inventory management, or trade financing.
• Background in Operations Research or enterprise implementation.
• Prior experience as a Forward Deployed Engineer, Solutions Architect, Technical Consultant, or Founding Engineer in a fast-paced environment.

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It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production.

As an AI Engineer, you'll be at the forefront of building intelligent features that make enterprise networks smarter, more secure, and easier to manage.

The Role

Forward is building the AI layer on top of the industry's most accurate network digital twin: agents that reason over a mathematically precise model of production networks, so engineers can ask hard questions and trust the answers.

Your work will involve:

• Improving the quality of shipped agents through eval-driven iteration: error analysis on real trajectories, targeted fixes to prompts, context, and tools, and regression coverage that makes the gains stick.
• Building new agent capabilities, tools, and surfaces on the Forward platform, with an evaluation in place before they ship and a quality number attached after.
• Practicing context engineering: retrieval, prompt and tool-result structure, and token-budget management against a large, structured network model.
• Engineering prompts, tool descriptions, and instructions that are unambiguous and well-structured.
• Helping define what “good” looks like for agents completing complex tasks end-to-end.
• Partnering with network domain experts to build and validate evals, and bringing new knowledge to the team through your findings.

You might be a good fit if you

• Have roughly 1 - 2 years of experience in the field.
• Have personally owned and shipped at least one real feature on top of LLMs.
• Enjoy debugging messy, real-world failures and turning them into improvements.
• Are proficient in one or more programming languages (e.g., Python, Java, C++, JavaScript).
• Possess solid software engineering fundamentals: clean, tested code, methodical debugging, and the judgment to work with minimal supervision.

Nice to Have

• Experience with eval frameworks, LLM-as-judge, or trajectory / error-analysis tooling.
• Built with agent frameworks or raw APIs.
• Side projects, open-source work, or writing that shows you track this fast-moving field.
• Any networking, infrastructure, or systems background.

Why Forward

• Build AI on a unique substrate: a mathematically accurate digital twin of networks run by the largest enterprises.
• Join an evidence-driven engineering culture where "prove it with an eval" is the norm.
• Work directly with domain experts and a tight, high-signal AI team.
• Competitive compensation, benefits, and the chance to shape the future of AI in enterprise networking.

The base pay range for this role is between $180,000 and $230,000.

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Arc is on a mission to electrify the marine industry. We're rethinking powertrains, software, and vessel designs from first principles. And we're already executing. We started with consumers to develop and harden our core technology. We’re now scaling production of our flagship model with new models and sectors on the horizon. Now we’re extending our platform to commercial applications, starting with tugs, ferries, and defense, with years worth of signed contracts and a pipeline that spans every vessel type on the water.

The technology is proven, the momentum is building, and the opportunity is enormous. The marine industry is going electric and Arc is building the platform that powers it.

We're looking for someone fired up by the mission and ready to build. You'll thrive here if you move fast, take ownership, and care about the details.

This is a full-time, on-site role at our Los Angeles headquarters.

Responsibilities

• Designing marine propulsion and drivetrain systems, including shafting, couplings, mounts, seals, bearings, and steering hardware
• Collaborating with naval architects on hull-to-machinery integration , packaging, weight and LCG, foundation loads, and appendage interfaces
• Owning thermal and fluid systems across the vessel, including cooling loops, pumps, plumbing, bilge, and ventilation
• Running structural, thermal, and hydrodynamic analysis to size and validate components before they get built
• Building and executing test plans on the bench, at the dock, and on the water, then turning that data back into design changes
• Releasing drawings, GD&T, BOMs, and specifications, and driving DFM/DFA with manufacturing and supply chain
• Partnering with electrical and controls engineers to integrate Arc's powertrain into the vessel
• Supporting USCG, ABS, and ISO compliance and evaluating suppliers for critical marine hardware

Minimum Qualifications

• Bachelor's degree in Marine Engineering, Naval Architecture & Marine Engineering, Ocean Engineering, or Mechanical Engineering
• 3+ years designing and releasing mechanical systems for production, ideally on vessels or vehicles
• Background in machine design fundamentals , statics, dynamics, thermodynamics, fluids, and tolerance stack-up
• Proficiency with 3D CAD (SolidWorks, NX, or CATIA) and PDM/PLM workflows
• Experience owning a design through build, test, and iteration rather than handing it off at release
• Ability to work hands-on in the shop and on the water, including occasional sea trials
• This is an active role that will require consistent physical activity and standing for a majority of the shift
• Ability to lift, push, and pull 50 lbs

Bonus Qualifications

• Professional Engineer or EIT in Naval Architecture
• Experience with small craft or high-speed craft
• Experience with electric or hybrid marine propulsion
• Passion for taking a vessel from a blank sheet to on-water validation
• Comfortable pushing at a fast but sustainable pace
• Enthusiasm for boating and the water

What we offer

The base salary for this role is P2: $125,000 P3: $150,000 annually,

Highly competitive equity grants are included with full time offers. As well as semi-annual bonuses tied to your impact, not just your tenure.

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

• Healthcare benefits , 99% employer-paid medical, dental, and vision
• Parental leave , 14 weeks fully paid for birthing and non-birthing parents
• Generous time off , Highly competitive PTO with an opportunity to earn more time with tenure
• Income protection , Life and disability insurance for all employees
• Retirement savings , Traditional and Roth 401(k) access
• Water fund , $500 for you to spend each year to get out on the water, however you choose
• Professional development , $500 annual reimbursement for professional development and a monthly AI stipend
• Safety Support- Annual reimbursement for PPE, ergonomic equipment and anything that ensures we keep our crew safe
• Captain training , Training and access to take Arc boats out with friends and family
• Office perks , Daily lunches, snacks, and good coffee while onsite
• Relocation assistance , Available depending on role eligibility.

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We are seeking a Software Engineer to bridge the gap between software engineers working on tactical code and the DevSecOps engineers maintaining cloud infrastructure.

You will build and maintain the secure automation infrastructure that powers our radar tracking deployments, create testing and analysis tools to support tactical software, and accelerate developer workflows.

Responsibilities:

• Design and implement secure CI/CD pipelines, enabling automated build, test, and deployment of radar tracking software across multiple enclaves
• Collaborate with software engineers to optimize the build and test processes, reduce deployment friction, and integrate security controls early in the development lifecycle
• Work alongside tactical software developers to identify pain points and process deficiencies and architect durable solutions
• Build Infrastructure-as-Code frameworks (Terraform, Ansible, or similar) to provision and configure development, test, and production environments that meet DISA STIG and NIST 800-53 requirements
• Automate security compliance workflows, including STIG scanning, vulnerability assessment, configuration validation, and compliance reporting for continuous monitoring
• Develop containerization and orchestration solutions (Docker, Kubernetes) tailored for classified networks with appropriate security hardening
• Create monitoring and logging infrastructure to support security operations, troubleshooting, and incident response
• Partner with system administrators and ISSM/ISSO personnel to ensure deployed systems meet customer security requirements

Requirements:

• 5+ years of experience and a Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
• Strong hands-on experience with CI/CD tools such as GitLab CI, Jenkins, GitHub Actions, or similar
• Proficiency in a variety of programming languages such as Python and C++
• Understanding of software engineering fundamentals: design patterns, testing, version control, and debugging
• Familiarity with Infrastructure-as-Code using Terraform, Ansible, Puppet, Chef, or similar tools
• Working knowledge of containerization technologies (Docker) and orchestration platforms (Kubernetes, Docker Swarm)
• Understanding of Linux system administration, networking, and scripting (Python, Bash)
• Ability to obtain and maintain a U.S. Top Secret SCI security clearance

Preferred Qualifications:

• Experience deploying and maintaining systems in classified DoD or IC environments
• Hands-on experience with ATO processes, STIG implementation, and continuous monitoring for accredited systems
• Proficient in Python package development
• Familiarity with SCAP-compliant scanning tools (OpenSCAP, Nessus, ACAS) and automated compliance frameworks
• Experience with secure software supply chain practices, artifact signing, and software bill of materials (SBOM)
• Knowledge of zero-trust architectures and microsegmentation in Kubernetes environments
• Experience with GitOps workflows and declarative infrastructure management
• Proficiency with observability and monitoring tools (Prometheus, Grafana, ELK stack, Splunk)
• Understanding of PKI, certificate management, and secrets management solutions (Vault, AWS Secrets Manager)
• Experience with air-gapped or disconnected network deployments
• Familiarity with DoD security frameworks (RMF, NIST 800-53, DISA STIGs)
• Active U.S. Top Secret SCI clearance
• Relevant certifications such as Security+, CISSP, or AWS/Azure security certifications

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We are looking for a Senior Test Automation Engineer to lead testing for our new radio products.

Responsibilities

• Lead, own and execute End of Line test systems and plans for a set of new radio products and features, in collaboration with firmware, software, hardware design and manufacturing teams.
• Align with business line customer to define test methodologies and strategies that optimize product safety, product reliability, risk mitigation, FMEA coverage, and schedule.
• Design and execution of PCBA, electrical systems and RF components with hands on testing and rework as necessary.
• Data analysis and clear communication of results and collaboration with design engineers to resolve any product problems found via test.
• Design and implement next generation test automation hardware systems to facilitate fast and repeatable testing of product.
• Execution and management of purchasing, build, integration and final commissioning of functional testers.
• Develop test procedures and test automation from component level to system level.
• Support board bring-up and bench validation as needed.
• Support Design Engineer with DFT, provide feedback from test results to improve quality and test coverage.
• Support manufacture test bring-up and yield.
• Support in Root Cause Analysis process.
• Lead and participate as a key contributor in design reviews.

Required Qualifications

• Bachelor’s Degree in Electrical Engineering or equivalent.
• 5+ years of hands on electrical engineering experience designing functional test equipment.
• 3+ years of experience in Schematic Capture and/or PCBA layout.
• 2+ years of experience in scripting language to develop automation.
• Experience with peripherals and developing test and validation strategies.
• Advanced experience with computer hardware communication bus protocols.
• Collaborate with a cross-functional team to support product development from prototype to production.
• Understanding of lab safety protocols when working in all types of lab environment.
• Familiarity with measurement analysis techniques.
• Understanding both hardware and software integration and test process.
• Experience with source code revision and control.

Preferred Qualifications

• Master’s Degree in Electrical Engineering or equivalent.
• Experience RF test equipment.
• Experience with testing RF components.
• Proficiency in MS Word, Excel, PowerPoint and VISIO.
• Experience in Product Release Cycle from prototype to production.
• Experience with wired networking technologies.
• Hands-on experience with complex networking equipment.

Benefits Anduril offers top-tier benefits for full-time employees, including comprehensive, competitive benefits package.

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The Launched Effects team at Anduril is responsible for scaling the manufacturing and delivery of the ALTIUS family of systems.

As a Senior Supply Quality Engineer, you will work inside & outside the organization to define, develop, and execute processes that deliver high quality & reliable precision machined parts used in our missile and high-speed aircraft programs.

Responsibilities:

• Partner with design teams to support design development and provide design for manufacturability feedback
• Use knowledge and expertise of machining, molding, additive manufacturing, fabrication, special processes, and inspection/measurement to support internal design process and ideation
• Drive supplier quality development processes throughout product development stages
• Partner with development engineering, product quality engineering, sourcing engineering, category management, and program management to deliver predictable supply
• Drive supplier quality readiness by analyzing key and critical characteristics for drawings and supplier specification
• Own the elimination of supplier risk to improve quality & reliability across the product lifecycle
• Support Root Cause and Corrective Action (RCCA) and Material Review Board (MRB) activities
• Review supplier effectiveness of actions and share lessons learned across the product team
• Audit the Quality Management System at suppliers
• Prepare, support, and lead supplier onsite audits and reviews

Requirements:

• Bachelor’s degree in Engineering, Materials Science, Metallurgy or similar technical field
• Experience with producing precision mechanical parts for aerospace or defense
• Experience in scaling supplier capabilities and quality from prototype to high rate production
• Working knowledge of AS9100/ ISO 9001-based Quality Management System requirements
• Experience performing First Article Inspection to AS9102 Industry Standard
• Experience with driving supplier performance and evaluation
• Working knowledge of product development methodologies such as FMEA, APQP, PPAP
• Strong ownership mindset with demonstrated capability to drive projects from start to completion
• Analytical skills and experiences for data mining, data quality, metrics generation, and statistical analysis tools
• Must be able to obtain and hold a U.S. TS/SCI security clearance
• Must be able to travel up to 50% of the time

Preferred Qualifications:

• Master’s degree in a technical field
• Experience in creating material and process specifications
• Experience with managing special processes
• Process Failure Modes Effects and Analysis (PFMEA) experience
• Experience with government contracts and MIL standard requirements

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As a Senior Product Quality Engineer at Anduril in Ashville, OH, you will work inside & outside the organization to define, develop, and execute processes that deliver high quality missile programs.

Responsibilities

• Drive product development and production for missile programs using processes such as drawing and work instruction reviews, quality planning, inspection, acceptance test performance management, end-of-line metrics, verification, validation, and qualification of processes and parts, sub-assemblies, and the vehicle, itself.
• Drive clarity & resolution for production ambiguities associated with product maturity, process stability, and field performance.
• Champion the transition from new product introduction (NPI) to a sustainable & predictable, high rate manufacturing process, supply chain, and deployment support.
• Own the elimination of product risk to improve reliability across the product lifecycle.
• Ensure the execution of product and process requirements. Define and improve such requirements.
• Lead Root Cause and Corrective Action (RCCA), Material Review Board (MRB) activities, and inspection process performance. Review the effectiveness of actions and share lessons learned across the product team.
• Lead product health data analysis and improvement activities. Establish metrics for measuring quality and the factors that predict quality performance.
• Support the continuous improvement of the Quality Management System. Define and improve required documentation and activities.
• Develop an overall quality plan (similar to APQP) for various missile projects. Leverage resources and direct reports to delivery quality through the development cycle. Design, development, and leverage elements of the Anduril QMS to build confidence and containment for missile customers quality expectations. Set expectations for qualification of internal and external manufacturing processes including measurement methods, PPAP/FAI, inspection methods & test protocol & acceptance test plans for missile programs. Lead the transition from engineering qualification to manufacturing variance testing for product quality coverage.
• Lead product health data analysis and improvement activities for the missile projects.
• Matrix lead supplier quality engineers who are supporting the design and development activities with the suppliers for Missile programs.

Required Qualifications

• Bachelor’s degree in Engineering or similar technical field
• Experience in Engineering, Manufacturing, or Quality on previous Missiles or high velocity vehicle systems.
• Working knowledge of design review and quality management of missile systems, PCBA, harnessing, avionics, systems integration, composites/control surfaces, propulsion systems, and lethality systems.
• Experience driving product quality and performance requirements to test and measurement system development and optimization. Knowledgeable of missile storage and maintenance processes.
• Experience partnering with Reliability Engineering, chief engineers, architects, manufacturing engineering, and customer facing team members to deliver to customer requirements.
• Working knowledge of product development methodologies such as Failure Modes and Effects Analysis (FMEA), Advanced Product Quality Planning (APQP), Production Part Approval Process (PPAP) elements such as Measurement Systems Analysis (MSA), and Geometric Dimensioning and Tolerancing (GD&T).
• Working knowledge of mechanical and/or electrical manufacturing processes. Application of industry standards and best practices
• A strong ownership mindset with demonstrated capability to drive projects from start to completion.
• Analytical skills and experiences for data mining, data quality, metrics generation, issue management systems, and statistical analysis tools (MatLab, JMP, MiniTab, etc)
• Must be able to obtain and hold a U.S. TS/SCI security clearance

Preferred Qualifications

• Master’s degree in a technical field
• 6+ years of experience with developing quality systems for low volume, high complex manufacturing environments and suppliers. Working knowledge of AS9100/ AS6500 / ISO 9001-based Quality Management System requirements.
• Experience with IPC standards and general workmanship standards.
• Experience with government contracts and MIL standard requirements commonly applied to quality requirements for aerial vehicles. Experience with Teamcenter, SolidWorks/NX, Jira, Foundry, and manufacturing execution

XML job scraping automation by YubHub

As a Senior Product Quality Engineer at Anduril in Ashville, OH, you will work inside & outside the organization to define, develop, and execute processes that deliver high quality missile programs.

Responsibilities

• Drive product development and production for missile programs using processes such as drawing and work instruction reviews, quality planning, inspection, acceptance test performance management, end-of-line metrics, verification, validation, and qualification of processes and parts, sub-assemblies, and the vehicle, itself.
• Drive clarity & resolution for production ambiguities associated with product maturity, process stability, and field performance.
• Champion the transition from new product introduction (NPI) to a sustainable & predictable, high rate manufacturing process, supply chain, and deployment support.
• Own the elimination of product risk to improve reliability across the product lifecycle.
• Ensure the execution of product and process requirements. Define and improve such requirements.
• Lead Root Cause and Corrective Action (RCCA), Material Review Board (MRB) activities, and inspection process performance.
• Lead product health data analysis and improvement activities. Establish metrics for measuring quality and the factors that predict quality performance.
• Support the continuous improvement of the Quality Management System. Define and improve required documentation and activities.
• Develop an overall quality plan (similar to APQP) for various missile projects. Leverage resources and direct reports to delivery quality through the development cycle.

Required Qualifications

• Bachelor’s degree in Engineering or similar technical field
• Experience in Engineering, Manufacturing, or Quality on previous Missiles or high velocity vehicle systems.
• Working knowledge of design review and quality management of missile systems, PCBA, harnessing, avionics, systems integration, composites/control surfaces, propulsion systems, and lethality systems.
• Experience driving product quality and performance requirements to test and measurement system development and optimization.
• Knowledgeable of missile storage and maintenance processes.
• Experience partnering with Reliability Engineering, chief engineers, architects, manufacturing engineering, and customer facing team members to deliver to customer requirements.
• Working knowledge of product development methodologies such as Failure Modes and Effects Analysis (FMEA), Advanced Product Quality Planning (APQP), Production Part Approval Process (PPAP) elements such as Measurement Systems Analysis (MSA), and Geometric Dimensioning and Tolerancing (GD&T).
• Working knowledge of mechanical and/or electrical manufacturing processes.
• A strong ownership mindset with demonstrated capability to drive projects from start to completion.
• Analytical skills and experiences for data mining, data quality, metrics generation, issue management systems, and statistical analysis tools (MatLab, JMP, MiniTab, etc)
• Must be able to obtain and hold a U.S. TS/SCI security clearance

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We are looking for a Senior Mission Software Engineer to join the Imaging Interfaces team. This role involves owning fielded system success, building and maintaining production services, supporting field operations, representing the team externally, and maintaining end-to-end system understanding.

Responsibilities:

• Own fielded system success and triage issues across the full stack
• Build and maintain production services that run on edge-compute devices in austere environments
• Support field operations and work directly with field operators and non-technical users
• Represent the team externally and serve as a subject matter expert in integrations with other products and teams
• Maintain end-to-end system understanding and collaborate across teams

Requirements:

• 5+ years of experience in software development with meaningful production responsibility
• Strong Python and C++ skills
• 5+ years working in Linux-based environments, including bare-metal hardware
• Demonstrated ability to diagnose and resolve issues across system boundaries
• Strong written and verbal communication skills
• Willingness to travel approximately 15% of the time for field testing and customer integrations

Preferred qualifications:

• Experience with gRPC or similar RPC frameworks
• Familiarity with systems service management and observability practices on Linux
• React/JSX experience
• Familiarity with Nix or NixOS
• Experience supporting fielded or deployed systems

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The Imaging team builds and fields state-of-the-art camera and sensor systems deployed to solve real security challenges for the United States and its allies.

We're looking for a Mission Software Engineer to join the Imaging Interfaces team. This is not a pure product development role. You will spend meaningful time keeping fielded systems alive, triaging issues across the full stack, and serving as a technical representative for our products in integrations with external teams and customers.

Responsibilities

• Own fielded system success. You are responsible for the health and uptime of deployed imaging systems. When issues arise,whether the root cause is in your code, the firmware, the network, or the hardware,you triage, diagnose, and drive resolution.
• Build and maintain production services. You'll develop and extend modular software services that run on edge-compute devices in austere environments. These services need to be reliable, observable, and maintainable by engineers who didn't write them.
• Support field operations. You'll work directly with field operators and non-technical users to diagnose and resolve issues on deployed hardware. Clear communication under pressure is part of the job.
• Represent the team externally. You'll serve as a subject matter expert in integrations with other products and teams; sometimes remotely, sometimes on-site.
• Maintain end-to-end system understanding. Our devices sit at the intersection of hardware, firmware, networking, and software. You'll develop broad fluency across that stack over time, and apply it to optimize how our services interact and degrade gracefully when components fail.
• Collaborate across teams. You'll plan, build, and test complex functionality alongside firmware, hardware, and platform engineers. You'll need to be effective working across team and organizational boundaries.
• Travel expected approximately 15% of the time for field testing and customer integrations.

Requirements

• 5+ years of experience in software development with meaningful production responsibility,not just shipping features, but owning systems after they ship
• Strong Python and C++ skills. You don't need to be a language expert in both, but you need to be able to work effectively in either
• 5+ years working in Linux-based environments, including bare-metal hardware
• Demonstrated ability to diagnose and resolve issues across system boundaries (networking, services, hardware interaction) without always having full visibility into every component
• Strong written and verbal communication skills, including the ability to explain technical problems clearly to non-technical audiences
• Willingness to travel approximately 15% of the time for field testing and customer integrations.
• Eligibility to obtain and maintain a U.S. Secret clearance

Preferred Qualifications

• Experience with gRPC or similar RPC frameworks
• Familiarity with systems service management and observability practices on Linux
• React/JSX experience; we have a UI surface and it matters
• Familiarity with Nix or NixOS,uncommon, but genuinely valuable on our stack
• Experience supporting fielded or deployed systems, not just development environments

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next.

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As an RF Integration Engineer, you will play a key role in the development of Anduril's family of systems, which is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a real-time, 3D command and control center.

The salary range for this role is $132,000-$198,000 USD per year. Highly competitive equity grants are included in the majority of full-time offers, and Anduril offers top-tier benefits for full-time employees.

Responsibilities:

• Develop and integrate RF systems for Anduril's family of systems
• Work with cross-functional teams to design and test RF systems
• Analyze and troubleshoot RF system performance issues
• Collaborate with engineers to develop and implement new RF technologies

Benefits:

• Comprehensive, competitive benefits package
• Top-tier benefits for full-time employees
• Equity grants included in full-time offers

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We will never solicit payment or demand personal financial details at any stage of our hiring process.

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The Software Platform Foundations team at Anduril is dedicated to building the foundational systems that empower engineering teams to develop, test, and deploy cutting-edge defense technology with efficiency and reliability.

As a Principal Engineer on this team, you will ensure the quality, traceability, and rapid deployment of software solutions, directly contributing to the mission of delivering advanced autonomous systems.

About the role

Anduril's hardware ships from many product organizations, and nearly all of it runs on a shared software platform. We are looking for a Principal Engineer to define and ensure that our platform is robust and scalable enough to ship a device.

You will be the senior technical voice representing the consumers of platform software - the engineers inside each business line who are integrating Lattice, flashing boards, hardening images, and shipping to a customer with a date on it.

You'll find where the platform needs to go or falls short, and then you will either build it, fix it, or drive the right ownership model. You will also act as central SME and the glue between several teams with distant reporting structures.

Responsibilities

• Embed yourself with the engineering leads of every business line shipping tactical devices. Learn their build, their pain, and their forks.
• Develop and execute on a long-term roadmap for supported compute platforms used throughout Anduril devices.
• Run a continuous gap triage. Every gap resolves to build, assign, decline, or defer - no gap sits unanswered.
• Define the device baseline: OS and Jetpack, product-security components, resource-bounded Lattice service profiles, provisioning and key management. Then drive its delivery.
• Reclaim orphaned platform code. Start with unmaintained C++; deprecate homegrown primitives in favor of standard third-party libraries, drive dependency count down, and standardize shared-library linkage.
• Decide on who should own baseline closure definitions.
• Integrate with our Security organization to ensure all deployed devices are secure by default, and that our business partners can easily provision secure hardware without a tribal-knowledge handoff.
• Take on and permanently solve the unglamorous correctness work others route around, and raise the standards for other teams.
• Supporting HITL as a product. Use that as a model for building out new products from DeviceOS.
• Work with other platform capabilities to build out the future of device management at scale.

You might be a fit if you

• Have shipped embedded or edge systems where the OS, the security posture, and the application were all your problem simultaneously.
• You have deep experience with or a passion to dive into Nix and NixOS.
• Are adroit at telling Product teams no, and here's why, but here's how we can achieve your goals and having them thank you for it.
• You view an unowned library as a liability rather than someone else's story.
• Would rather be trusted by twelve engineering leads than have twelve reports.

Required Qualifications

• 15+ years of proven experience building automated verification suites at scale.
• 5+ years experience working in NixOS environments, declarative package management, and virtualization environments is highly required.

Preferred Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Mathematics, Physics, or a related technical field, or equivalent practical industry experience.
• Familiarity with cloud platforms and containerization technologies.
• Experience working in a regulated industry or with systems requiring high reliability and traceability.

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The Software Platform Foundations team at Anduril is dedicated to building the foundational systems that empower engineering teams to develop, test, and deploy cutting-edge defense technology with unparalleled efficiency and reliability.

As a Principal Engineer on this team, you will be instrumental in ensuring the quality, traceability, and rapid deployment of software solutions, directly contributing to the mission of delivering advanced autonomous systems.

About the role

Anduril's hardware ships from many product organizations, and nearly all of it runs on a shared software platform. We are looking for a Principal Engineer to define and ensure that our platform is robust and scalable enough to ship a device.

You will be the senior technical voice representing the consumers of platform software - the engineers inside each business line who are integrating Lattice, flashing boards, hardening images, and shipping to a customer with a date on it.

You'll find where the platform needs to go or falls short, and then you will either build it, fix it, or drive the right ownership model. You will also act as central SME and the glue between several teams with distant reporting structures.

Responsibilities

• Embed yourself with the engineering leads of every business line shipping tactical devices. Learn their build, their pain, and their forks.
• Develop and execute on a long-term roadmap for supported compute platforms used throughout Anduril devices.
• Run a continuous gap triage. Every gap resolves to build, assign, decline, or defer - no gap sits unanswered.
• Define the device baseline: OS and Jetpack, product-security components, resource-bounded Lattice service profiles, provisioning and key management. Then drive its delivery.
• Reclaim orphaned platform code. Start with unmaintained C++; deprecate homegrown primitives in favor of standard third-party libraries, drive dependency count down, and standardize shared-library linkage.
• Decide on who should own baseline closure definitions.
• Integrate with the Security organization to ensure all deployed devices are secure by default, and that business partners can easily provision secure hardware without a tribal-knowledge handoff.
• Take on and permanently solve the unglamorous correctness work others route around, and raise the standards for other teams.
• Supporting HITL as a product. Use that as a model for building out new products from DeviceOS.
• Work with other platform capabilities to build out the future of device management at scale.

You might be a fit if you

• Have shipped embedded or edge systems where the OS, the security posture, and the application were all your problem simultaneously.
• You have deep experience with or a passion to dive into Nix and NixOS.
• Are adroit at telling Product teams no, and here's why, but here's how we can achieve your goals and having them thank you for it.
• You view an unowned library as a liability rather than someone else's story.
• Would rather be trusted by twelve engineering leads than have twelve reports.

Required Qualifications

• 15+ years of proven experience building automated verification suites at scale.
• 5+ years experience working in NixOS environments, declarative package management, and virtualization environments is highly required.

Preferred Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Mathematics, Physics, or a related technical field, or equivalent practical industry experience.
• Familiarity with cloud platforms and containerization technologies.
• Experience working in a regulated industry or with systems requiring high reliability and traceability.

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Responsibilities:

• Stakeholder Engagement: Build relationships with internal stakeholders, customer stakeholders, and industry partners to gather insights and secure buy-in.
• Technical ownership: Drive radar architecture and product development strategies through understanding of technical tradeoffs, requirements, and opportunities for innovation.
• Product Strategy: Collaborate with stakeholders to define a product strategy that delivers differentiated value to customers.
• Tactical Execution: Organize and prioritize engineering efforts to bring the product to market.

Requirements:

• Minimum of 4+ years experience as a Chief Engineer, Technical Program Manager, Product Manager, Engineering Manager, or Engineer of land, maritime, or airborne radars or other RF sensors.
• Demonstrated understanding of radar system design.
• Deep understanding of state-of-the-art radar technologies and radar for defense missions.
• Solid technical aptitude and ability to work closely with engineering teams.
• Experience in shaping strategic pursuits and developing technology roadmaps.
• Excellent written and verbal communication skills.
• Graduate degree in Aerospace, Mechanical, Electrical or Software engineering, or equivalent experience.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred Qualifications:

• Experience with tools like JIRA and Confluence.
• Experience with modeling and simulation tools.
• Experience with developing and fielding novel hardware/software products.
• Strong technical, analytical, and quantitative skills.

Benefits:

• Competitive salary range: $189,000-$251,000 USD.
• Highly competitive equity grants.
• Top-tier benefits for full-time employees.

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We are seeking a Platform Engineer to bridge the gap between software engineers working on tactical code and the DevSecOps engineers maintaining cloud infrastructure.

You will build and maintain the secure automation infrastructure that powers our radar tracking deployments, create testing and analysis tools to support tactical software, and accelerate developer workflows.

Responsibilities:

• Design and implement secure CI/CD pipelines, enabling automated build, test, and deployment of radar tracking software across multiple enclaves
• Collaborate with software engineers to optimize the build and test processes, reduce deployment friction, and integrate security controls early in the development lifecycle
• Work alongside tactical software developers to identify pain points and process deficiencies and architect durable solutions
• Build Infrastructure-as-Code frameworks (Terraform, Ansible, or similar) to provision and configure development, test, and production environments that meet DISA STIG and NIST 800-53 requirements
• Automate security compliance workflows, including STIG scanning, vulnerability assessment, configuration validation, and compliance reporting for continuous monitoring
• Develop containerization and orchestration solutions (Docker, Kubernetes) tailored for classified networks with appropriate security hardening
• Create monitoring and logging infrastructure to support security operations, troubleshooting, and incident response
• Partner with system administrators and ISSM/ISSO personnel to ensure deployed systems meet customer security requirements

Requirements:

• 5+ years of experience and a Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
• Strong hands-on experience with CI/CD tools such as GitLab CI, Jenkins, GitHub Actions, or similar
• Proficiency in a variety of programming languages such as Python and C++
• Understanding of software engineering fundamentals: design patterns, testing, version control, and debugging
• Familiarity with Infrastructure-as-Code using Terraform, Ansible, Puppet, Chef, or similar tools
• Working knowledge of containerization technologies (Docker) and orchestration platforms (Kubernetes, Docker Swarm)
• Understanding of Linux system administration, networking, and scripting (Python, Bash)
• Ability to obtain and maintain a U.S. Top Secret SCI security clearance

Preferred Qualifications:

• Experience deploying and maintaining systems in classified DoD or IC environments
• Hands-on experience with ATO processes, STIG implementation, and continuous monitoring for accredited systems
• Proficient in Python package development
• Familiarity with SCAP-compliant scanning tools (OpenSCAP, Nessus, ACAS) and automated compliance frameworks
• Experience with secure software supply chain practices, artifact signing, and software bill of materials (SBOM)
• Knowledge of zero-trust architectures and microsegmentation in Kubernetes environments
• Experience with GitOps workflows and declarative infrastructure management
• Proficiency with observability and monitoring tools (Prometheus, Grafana, ELK stack, Splunk)
• Understanding of PKI, certificate management, and secrets management solutions (Vault, AWS Secrets Manager)
• Experience with air-gapped or disconnected network deployments
• Familiarity with DoD security frameworks (RMF, NIST 800-53, DISA STIGs)
• Active U.S. Top Secret SCI clearance
• Relevant certifications such as Security+, CISSP, or AWS/Azure security certifications

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The Connected Warfare division builds systems to support global command and control missions. We create joint, time-sensitive, multi-domain, ubiquitous, connected mesh ecosystems.

The Mission Operations (MOPs) team is responsible for managing the execution, growth, and success of our customer accounts. Working across product, engineering, sales, and logistics teams, our Mission Operations Engineers own the customer relationships and develop, plan, and deploy Anduril products in support of their missions.

Responsibilities:

• Provide post-sales support for Anduril Voyager products.
• Provide technical support and training to both internal and external customers with Voyager systems.
• Resolve technical problems in a help desk environment and at customers' locations.
• Work with product teams to quickly address issues on behalf of customers.
• Provide virtual and on-site technical support and training to customers on their Anduril Voyager solutions.
• Evaluate existing customer solutions and recommend upgrades.
• Ensure day-to-day operations of NOC and training technology infrastructure.
• Provide assistance to customers remotely and on-site to resolve issues.
• Provide technical escalation support to Tier 1 staff.
• Assist in the maintenance of the test lab environment.
• Document knowledge in the form of technical papers.
• Maintain log and traceability of System Configurations delivered to customers.
• Create systems documentation.
• Perform other related duties as assigned by management.
• Assess external technical products and services within the industry and develop solutions that work with Anduril Voyager products.
• Test emerging Anduril Voyager products to evaluate performance and recommend improvements.

Requirements:

• Experience in program management and product deployment roles.
• Exceptional interpersonal and stakeholder management skills.
• Understanding of U.S. and allied military operations, doctrines, and multi-domain environments.
• Experience translating and decomposing highly technical concepts into operational requirements and performance specifications.
• Strong aptitude for problem-solving in unstructured situations.
• Willing to travel as necessary (25-50%).
• Eligible to obtain and maintain an active U.S. security clearance.

Benefits:

• Competitive salary range: $129,000-$161,000 USD.
• Highly competitive equity grants.
• Top-tier benefits for full-time employees.

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As a Senior UAS Flight Test Engineer you will plan, execute and report on developmental and operational flight Test & Evaluation (T&E) activities.

Responsibilities

• Conduct rigorous testing and evaluation of Group 3 UAS to ensure performance and reliability.
• Deploy to remote test sites within the US, with opportunity to support trials in overseas locations.
• Participate in weekly stand-ups and provide progress reports to program and T&E leadership.
• Develop and execute focused test plans for internal and customer trials.
• Develop and implement baseline safety plans to mitigate risks during testing.
• Communicate effectively within the team and across the organization.

Required Qualifications

• Bachelor’s degree in engineering or a related technical field.
• 3+ years of experience in UAS integration, testing, and project management.
• Ability and willingness to travel >75% time to remote locations in the US and overseas.
• Understanding of the National Airspace System and UAS regulations.
• Practical experience with large UAS testing and development.
• Strong grasp of engineering principles and technical concepts.
• Ability to organize, coordinate work effectively, and document thoroughly.
• Familiarity with rotary-wing and fixed-wing aerodynamics and flight control systems.
• Excellent communication and interpersonal skills.
• Self-motivated and able to work independently and in teams.
• Flexibility to work extended hours as needed.
• FAA Part 107 certificate holder.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance.

Preferred Qualifications

• Advanced degree in engineering, robotics, computer science, or a related field.
• Hands-on experience with complex and autonomous UAS.

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.

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We are seeking an Environmental Test Technician to join our rapidly growing environmental test team in Costa Mesa, CA. In this role, you will be responsible for executing a wide variety of climactic and environmental tests on the full spectrum of products developed at Anduril.

Responsibilities

• Develop and execute environmental test procedures for thermal, dynamic, climatic, corrosion, and ingress testing in accordance with MIL-STD-810, DO-160, and program-specific requirements
• Tailor environmental test methods to program needs, selecting appropriate test levels, durations, and success criteria based on operational environment and product requirements
• Design instrumentation and data acquisition approaches for environmental tests, including sensor selection, channel configuration, sample rates, and measurement uncertainty considerations
• Program and operate test controllers including WATLOW F4s/F4Ts and vibration control software (VibrationVIEW, ObserVIEW)
• Set up and operate electrodynamic shaker systems for sine, random, SRS, and mixed-mode vibration testing
• Analyze test data, identify anomalies, and produce engineering test reports and data packages that support qualification and certification decisions
• Partner with program test engineers from test planning through data delivery, serving as the environmental test subject matter expert
• Develop and maintain environmental test procedures, work instructions, and training materials
• Support test readiness reviews and provide technical input on test feasibility, risk, and resource requirements
• Maintain lab spaces, promote safety culture, and champion proper maintenance of capital equipment including chambers, shakers, and DAQ systems
• Travel to test sites and remote labs as needed to support field testing or capability standup

Requirements

• Bachelor's degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or related technical discipline, OR 10+ years of progressive environmental test experience in lieu of degree
• 5+ years of hands-on environmental testing experience including thermal, vibration, and shock testing
• Working knowledge of MIL-STD-810, DO-160, or equivalent environmental test standards, including the ability to interpret and tailor test methods
• Experience developing test procedures and engineering test reports
• Proficiency with data acquisition systems and test instrumentation
• Ability to thrive in a fast-paced, high-mix test environment supporting multiple programs simultaneously
• Eligible to obtain and maintain a U.S. Security Clearance

Benefits Anduril offers top-tier benefits for full-time employees, including comprehensive, competitive benefits package (available at little to no cost to employees) that ensures you're supported in health, recovery, and whatever comes next.

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We are seeking a Calibration Technician to ensure the reliability, accuracy, and uptime of our physical test equipment across all ETC domains.

The organization's ability to meet program deadlines depends directly on equipment being properly calibrated, well-maintained, and fully operational. The equipment spans thermal chambers, electrodynamic shakers, battery test stations, propulsion measurement systems, wind tunnel instrumentation, structural load cells, and all supporting DAQ and instrumentation systems.

The ideal candidate brings hands-on test and measurement equipment experience, strong troubleshooting instincts across multiple equipment types, and takes genuine pride in equipment performance and uptime.

Responsibilities

• Manage routine calibration on a variety of ETC instrumentation, and data acquisition systems
• Oversee preventative maintenance across the full diverse equipment catalog of ETC
• Diagnose and repair equipment breakdowns across mechanical, electrical, pneumatic, hydraulic, and control systems in different test domains
• Manage calibration schedule across all equipment types, tracking due dates, and ensuring no lapses
• Coordinate with external calibration and service providers for specialized work across diverse equipment categories
• Maintain detailed maintenance and calibration records per ISO 17025 and ANSI/NCSL Z540 standards
• Manage spare parts inventory across multiple equipment types, insuring critical spares are stocked and available
• Support equipment installations, upgrades, and decommissioning activities across all test domains
• Monitor equipment performance trends and recommend predictive maintenance actions for the diverse fleet
• Respond to equipment issues during active testing across ETC to minimize interruptions
• Collaborate with lab coordinators, test engineers, and lab admins on equipment status and scheduling across all test domains
• Ensure compliance with all safety and EHS requirements, including domain-specific safety protocols across ETC
• Maintain clean, organized, and safe work areas throughout all test facilities
• Support evaluation and qualification of new equipment acquisitions across the full range of test capabilities

Required Qualifications

• 3+ years of hands-on calibration and maintenance experience with physical test or test and measurement equipment in a test lab, manufacturing, aerospace, or defense environment
• Direct experience calibrating and maintaining diverse test equipment
• Strong troubleshooting skills
• Working knowledge of calibration standards including ISO 17025 and ANSI/NCSL Z540
• Demonstrated ability to maintain calibration records with full traceability
• Familiarity with preventive maintenance planning and scheduling across a diverse equipment fleet
• Strong attention to detail and commitment to safety
• Must be a U.S. Person as defined by ITAR (U.S. citizen, permanent resident, or protected individuals)

Preferred Qualifications

• Associate degree or technical certification in electronics, instrumentation, or mechanical technology
• Experience with CMMS or calibration management software
• Familiarity with military standards (MIL-STD-810, MIL-STD-202)
• Experience with diverse test equipment types beyond environmental, such as propulsion test systems, structural load frames, battery test stations, or aerodynamic instrumentation
• Experience managing spare parts inventory and procurement across multiple equipment categories
• Experience in a high-growth or rapidly scaling environment
• ASQ Certified Calibration Technician (CCT), ISA certification, or similar professional credentials

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Your daily responsibilities will involve:

• Troubleshooting, diagnosing, and repairing complex CNC machines and systems
• Bringing new, state-of-the-art machinery online through precision installations
• Providing world-class customer service, building genuine relationships, and creating legendary value
• Proactively eliminating roadblocks to ensure customer productivity and secure future work for Phillips

To succeed in this role, you should:

• Possess deep experience with CNC machinery or a strong mechanical and electrical background
• Have a proven track record in a service or maintenance environment
• Demonstrate a strong mechanical and electrical aptitude
• Be willing to travel up to 80% of the month within your assigned region
• Embody the Phillips spirit, striving to be the absolute best in your craft

The expected pay range for a qualified person in this role is between $55,000.00 and $75,000.00 annually.

Our community values high performance, passion, and care, aiming to provide leaps in productivity and prosperity worldwide.

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Your 12-Month Journey During the first 3 months:

• Get fully onboarded on our HubSpot CMS architecture, module library and tracking setup.
• Audit the existing website and identify opportunities to improve performance and scalability.
• Deliver your first new or improved HubSpot module alongside the Web Designer.
• Ensure tracking across key pages is accurate and reliable.

Within 6 months:

• Expand our module library, enabling marketers to build pages more independently.
• Improve Core Web Vitals and overall website performance.
• Launch A/B tests together with the Head of Growth.
• Deliver technical SEO and structured data improvements in collaboration with the SEO team.

After 1 year:

• Own the technical architecture of Tellent's marketing website.
• Continue evolving our module library and development standards.
• Drive website improvements that support performance, experimentation and discoverability.
• Be a trusted technical partner for Growth, Marketing and Design.

What You'll Be Doing

• Build reusable HubSpot CMS modules, themes and components alongside our Web Designer.
• Own the technical architecture of our website, including modules, HubDB, integrations and site structure.
• Improve website performance through Core Web Vitals optimisation, clean semantic markup and structured data.
• Implement and maintain tracking using Google Tag Manager, GA4 and HubSpot.
• Partner with the Head of Growth to build and support A/B testing and conversion optimisation initiatives.
• Work closely with our SEO team to ensure our website is optimised for both traditional search and AI-powered discovery.
• Use AI-assisted development tools, including Claude Code, as part of your day-to-day workflow.
• Document technical decisions and continuously improve the scalability and maintainability of our website.

What You Bring

• Strong front-end development experience with HTML, CSS and JavaScript.
• Experience building reusable components within a CMS environment; HubSpot CMS experience is strongly preferred.
• A solid understanding of Core Web Vitals, technical SEO and structured data.
• Experience working with APIs, JSON and modern web integrations.
• Experience with Google Tag Manager and GA4.
• An understanding of A/B testing and experimentation principles.
• Experience using AI-assisted development tools in your workflow.
• A proactive, ownership-driven mindset with excellent collaboration skills.

What We Offer

• Primarily remote working with flexibility and opportunities to connect with the team
• Diverse and international team environment
• Annual compensation range: 250000-280000 PLN/year (+ VAT where applicable)
• Time off for employment contract (UoP): 26 paid holiday days + 2 wellbeing days
• €1500 annual learning budget
• Wellness perks including Multisport and private healthcare (LuxMed)
• Work from anywhere for up to 4 weeks per year
• Apple MacBook, displays, and all the tools you need to succeed
• €200 home office budget + work-from-home allowance

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The successful candidate will effectively drive engineering activities at the Biffa MBT facility to deliver all operational aspects of the facility. The role involves driving plant availability through ensuring all PPM's, reactive maintenance, engineering, and process improvements are carried out and implemented in a timely manner.

Key Responsibilities:

• Work reactively to deal with machinery problems and breakdowns, as well as planned preventative maintenance and project work.
• Fault find on PLC's, preferably Siemens S7.
• Ensure all accidents, incidents and near misses are reported immediately.
• Maintain high standards of housekeeping.
• Perform motor electrical and mechanical fault finding.
• Familiarity with MCC layout of panels.
• Knowledge of controls and instrumentation.
• Ability to read and interpret electrical drawings.

Requirements:

• HNC Electrical/Electronic Engineering.
• BS7671 18th edition (desirable).
• Experience in a similar environment, such as manufacturing or industrial.
• Electrical qualification and competence.

Benefits:

• Ongoing career development, training and coaching.
• Generous pension scheme.
• Retail and leisure discounts.
• Holiday and travel discounts.
• Life cover.

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The successful candidate will be part of a core team working on Bill of Materials, design data management, technical problem solving, assembly issue resolution, project management, launch, execution, and production of exclusive vehicles.

Key responsibilities include:

• Maintaining confidentiality of upcoming projects while engaging in advanced activities
• Working safely, following safety procedures and general practices common to an automotive assembly environment
• Assisting in the launch of new vehicles and new vehicle editions
• Organizing and maintaining production materials, processes, and documentation
• Maintaining, validating, and approving work instructions and programming of work stations
• Managing the custom paint colour and sample package delivery process
• Supporting design engineers from multiple divisions, both remotely and on-site
• Acting as a liaison for cross-functional teams to execute programs and resolve issues
• Assisting in the management of the Bill of Materials and assembly sequence
• Supporting the change management process, including line trials and final validation of new parts
• Performing analysis of dimensional or other data in support of investigations or studies
• Driving engineering improvements by identifying opportunities and implementing robust solutions
• Supporting activities relating to the implementation or modification of equipment and processes
• Participating in Multimatic’s continuous improvement program
• Supporting report outs and meetings with Management and various other teams/departments
• Consulting with the Engineering team on the resolution of issues as they arise
• Performing other duties as required
• Following APQP, ISO 9001, TS16949 and ISO26262 requirements

The ideal candidate will be currently enrolled in an Engineering program, proficient in Microsoft Office, and have excellent verbal and written communication skills.

The total cash compensation range for this position is expected to be $17.60 - $25.48.

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Responsibilities:

• Set technical direction for agentic systems
• Discover and prioritize sources of friction across GitLab's SDLC
• Work across any part of GitLab's codebase
• Apply distributed systems judgment
• Mentor senior and mid-level engineers
• Collaborate with the India-based group
• Serve as a bar raiser for hiring
• Own a greenfield technical foundation

Requirements:

• Experience building reliable agentic or large language model-based systems
• Ability to work autonomously in unfamiliar codebases
• Strong distributed systems and computer science fundamentals
• Proficiency in Go, Rust, or Python
• Track record of delivering results from unclear requirements
• Experience designing evaluation frameworks
• History of unblocking and enabling teammates

Benefits:

• Benefits to support 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

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Responsibilities:

• Guide the technical direction of glab, owning its architecture, implementation, and evolution.
• Design and ship terminal-first features and workflows in Go, focusing on developer experience, performance, and backwards compatibility.
• Collaborate with Product Management to shape and execute the roadmap, making clear trade-offs and turning feedback into high-impact changes.
• Steer the open source project and community by triaging issues, reviewing and merging contributions, and upholding a high quality bar.
• Work with other Developer Clients teams to ensure glab integrates well with the broader GitLab developer experience.

Requirements:

• Significant experience with Go and building command-line interfaces or systems-level tools.
• A history of open source contributions through issues, merge requests, and reviews.
• Proven ability to operate as a self-directed owner, absorbing multiple and frequently changing inputs.
• Strong product and user experience instincts for developer workflows.
• Experience setting technical direction and influencing work across teams in an IC role.

Benefits:

• Benefits to support 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.

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The ideal candidate will identify and eliminate friction in the software development lifecycle, design and build reliable AI-powered systems, and collaborate with a global team.

Key responsibilities include:

• Identifying sources of friction and developing agentic solutions
• Designing and building reliable AI-powered systems
• Creating evaluation tools for agent output
• Working across GitLab's codebase
• Applying distributed systems judgment
• Collaborating with a global team

Requirements:

• Experience with agentic or large language model-based systems
• Autonomy in unfamiliar codebases
• Strong distributed systems knowledge
• Proficiency in Go, Rust, or Python

Benefits include:

• Health, financial, and well-being support
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental Leave

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In this role, you will be part of the Engineering department and collaborate with customers, Product, Development, Infrastructure, Customer Success, and Sales teams. Your responsibilities will include:

• Supporting Self-managed and GitLab.com customers, resolving issues via Zendesk tickets, merge requests, email, and video conferencing
• Collaborating with teams to build new features, fix bugs, and define product goals, roadmaps, priorities, and strategies
• Creating and updating documentation based on customer interactions
• Participating in on-call coverage and providing emergency support
• Contributing to the source code, improving documentation, and building more efficient support processes

To succeed in this role, you should have:

• Experience in managing customer-facing cases throughout the support lifecycle
• Excellent Linux systems administration knowledge (LFCE or RHCE equivalent)
• Ability to use scripting languages (Ruby or Bash) and MVC frameworks (Ruby on Rails)
• Experience with Git and CI/CD
• Expertise in writing support content
• Ability to communicate complex technical topics to customers and coworkers
• Familiarity with DevOps methodologies and technologies like Serverless and Kubernetes

GitLab offers various benefits, including:

• Benefits to support health, finances, and well-being
• All remote, asynchronous work environment
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and development budget
• Parental leave
• Home office support

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Responsibilities include:

• Supporting Self-managed and GitLab.com customers, resolving issues via Zendesk tickets, merge requests, email, and video conferencing
• Collaborating with Product, Development, Infrastructure, Customer Success, and Sales Teams to build new features, fix bugs, and define product goals
• Creating and updating documentation based on customer interactions
• Participating in regular rotations for weekday and weekend on-call coverage
• Contributing to the source code, improving documentation, and building more efficient support processes

Requirements:

• Experience in managing customer-facing cases throughout the support lifecycle
• Excellent Linux systems administration knowledge (LFCE or RHCE equivalent)
• Ability to use scripting languages (Ruby or Bash) and MVC frameworks (Ruby on Rails)
• Experience with Git and CI/CD
• Expertise in writing support content
• Ability to communicate complex technical topics to customers and coworkers
• Familiarity with DevOps methodologies and technologies like Serverless and Kubernetes

Benefits include:

• Health, finance, and well-being support
• All remote, asynchronous work environment
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and development budget
• Parental leave
• Home office support

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Your contributions will form the backbone of the systems delivering personalized, context-aware guidance at massive scale.

The Autonomous Campaigns team within Sponsored Products and Brands is building a highly personalized campaign creation and management system that leverages LLMs together with auction simulations, ML models, and optimization algorithms.

This agentic framework operates across both chat and non-chat experiences in the ad console , from natural language queries to proactive guidance based on deep understanding of each advertiser.

At our scale, even small improvements in guidance systems have outsized impact on advertiser success and Amazon's retail ecosystem.

You'll work closely with senior engineers and applied scientists to translate research prototypes into robust, high-performance production systems , diving deep into LLM deployment frameworks, reinforcement learning infrastructure, and state-of-the-art agent architectures to solve real customer problems.

Our work is grounded in tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.

Key Responsibilities:

• Implement core services and APIs for agent orchestration, tool invocation, and state management
• Build scalable, reusable data and tool registry systems that enable agents to reason across complex workflows
• Build components of evaluation pipelines (offline/online) for measuring reasoning quality, advertiser outcomes, and safety guardrails
• Develop infrastructure to support fine-tuning and reinforcement learning pipelines, collaborating with scientists to productionize workflows
• Ensure performance, scalability, observability, and maintainability through strong engineering practices
• Participate in system design, code reviews, and team architecture discussions
• Continuously learn and apply new techniques in agentic frameworks, distributed systems, and cloud-native development

Benefits:

• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance

Requirements:

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language
• Experience with AI/ML technologies

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We build with AI, for people who build with AI. If you spend your days working alongside frontier models and tooling, you already know where today's developer platforms fall short and that instinct is exactly what we're hiring for.

There are two ways into this team, and we're hiring for both: the product-minded API engineer who cares about schema design, SDK ergonomics, and a developer's first five minutes with the platform, and the infra-leaning platform engineer who cares about progressive delivery, observability, and keeping a high-traffic API stack fast and boringly reliable. The daily work mixes both - come in from whichever side is yours.

Responsibilities

• Own critical APIs end to end: write the RFC, ship the implementation, roll it out from staging through canary to full fleet, and keep iterating after launch.
• Contribute directly to product codebases across Go, Rust, Python.
• Build the surfaces agents consume: hosted MCP, tool calling, connectors, and auth flows that let agents onboard and operate on their own.
• Harden the platform for enterprise use: authentication patterns, data-handling guarantees, guardrails, and the security posture of a public API under real load.
• Own what you run in production: monitors and dashboards as code, alerts that page you, postmortems you write and act on.
• Partner with Research to evaluate frontier capabilities and turn the promising ones into production API features; work with Product, GTM, and customers directly to find the gaps between what builders need and what the platform offers today.

Requirements

• Experience with designing and operating distributed, high-load systems.
• Build with frontier models and tools - open source and closed source - every day, and you can walk us through your agentic workflow in detail.
• High autonomy and agency, paired with real product sense: you think about developers and customers, what an API user wants next, and where the frontier is heading..
• Working fluency with the core cloud infrastructure stack: a major cloud provider, Kubernetes, CI/CD.
• Depth on at least one side of the role: API product craft or platform operations, and genuine interest in the other.

Nice to Have

• You've built your own agent loops or harnesses: the fastest way to stand out.
• You've built developer or API tooling in the LLM ecosystem or in adjacent domains where API schemas evolve fast under real customer load, such as fintech or payments.
• You've contributed to open-source SDKs, frameworks, or integrations that developers actually use.

Compensation

• $200K – $350K

U.S. Benefits

Full-time U.S. employees enjoy a comprehensive benefits program including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts, and more.

International Benefits

Full-time employees outside the U.S. enjoy a comprehensive benefits program tailored to their region of residence.

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You will own the end-to-end technology strategy and delivery for two interconnected platforms that together manage the full spectrum of employee time-away and workplace modification. The core challenge: transforming a system built around human case managers into one where AI agents resolve straightforward cases autonomously, handle ambiguous cases with human oversight, and free human specialists to concentrate on the cases that genuinely require judgment and empathy. You will build autonomous adjudication engines, compliance governance agents, clinical job-matching systems, conversational AI experiences, and the composable service architecture that positions this platform as the foundation for a unified employee health experience , and eventually an external product.

Key Job Responsibilities

• AI-Native Platform Strategy: Own the technical vision for transforming leave and accommodations from human-processed workflows to AI-native orchestration , autonomous agents for straightforward cases, agentic workflows for ambiguous cases, human specialists for the rest.
• Autonomous Resolution: Lead development of an orchestration engine that transforms hundreds of leave policies into machine-executable workflows achieving majority auto-adjudication and zero-touch completion.
• Compliance & Governance: Own the structural separation of execution and governance , every case gets automated compliance audit regardless of whether a human or AI decided it.
• Composable Architecture: Drive API-first, tool-native design so all capabilities are callable, composable, and ready for broader platform integration and eventual external productization.
• Clinical Intelligence: Own AI systems connecting medical information to workplace decisions , job-matching, restriction extraction, dynamic documentation, and duration management.
• Conversational Experience: Drive conversational and voice-based leave management replacing callback queues with instant, contextual resolution.
• Scale & Modernization: Ensure durability at massive scale while completing migration from batch-processing legacy systems to event-driven architecture.
• Team Transformation: Lead a technology organization through the shift from volume-driven to complexity-driven staffing, building programs that upskill domain experts into AI Specialists.

A Day in the Life

You might review a PR/FAQ for autonomous adjudication, dive deep on return-to-work defect rates, partner with Legal on compliance implications of a new AI workflow, or work with AI Specialists building micro-automations. Your stakeholders span HR leadership, Operations, Legal, data science, and platform teams across Amazon's employee experience ecosystem. Your customers are over 1.5 million employees navigating health crises, new parenthood, and workplace modifications , plus the tens of thousands of HR professionals and managers supporting them. Problems range from badge lockouts on day one back to building the world's first closed-loop accommodation verification system.

About the Team

A to Z Leave and Accommodations answers the question every employee eventually asks: What happens when I can't work , and what happens when I'm ready to come back? We operate the world's largest employer-operated absence management platform, serving over 1.5 million employees across 60+ countries. Our mission: make every interaction instant when the rules are clear, empathetic when the situation is complex, and verified as delivered , not just approved. We're AI-native builders who ship in 4–6 week cycles and measure by capabilities reaching customers. We're building toward a unified health experience no vendor can match.

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As a Software Development Engineer in BDT, you will design and build extremely scalable components and features for data processing at Amazon. You will work closely with senior engineers to solve challenging technical problems and collaborate with internal customers to help them get the best results.

Key responsibilities:

• Collaborate with experienced cross-disciplinary Amazonians to design, develop, and deliver innovative products and services.
• Design and build software components in a large distributed computing environment.
• Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
• Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
• Design and code the right solutions starting with broadly defined problems, with guidance from senior engineers.
• Work in an agile environment to deliver high-quality software.
• Write clean, maintainable code and participate actively in code reviews.
• Troubleshoot and debug issues across the software stack.

Basic qualifications:

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
• Experience programming with at least one software programming language

Preferred qualifications:

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

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As a Software Development Engineer in BDT, you will design and build extremely scalable components and features for data processing at Amazon. You will work closely with senior engineers to solve challenging technical problems and collaborate with internal customers to help them get the best results. A strong software developer with solid programming skills, an understanding of data structures and algorithms, and a passion for massive-scale computing is required.

Key responsibilities:

• Collaborate with experienced cross-disciplinary Amazonians to design, develop, and deliver innovative products and services.
• Design and build software components in a large distributed computing environment.
• Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
• Build distributed storage, index, and query systems that are scalable, fault-tolerant, low-cost, and easy to manage/use.
• Design and code the right solutions starting with broadly defined problems, with guidance from senior engineers.
• Work in an agile environment to deliver high-quality software.
• Write clean, maintainable code and participate actively in code reviews.
• Troubleshoot and debug issues across the software stack.

Basic qualifications:

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture experience
• 3+ years of Video Games Industry experience
• Experience programming with at least one software programming language

Preferred qualifications:

• 3+ years of full software development life cycle experience
• Bachelor's degree in computer science or equivalent

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EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.

Building on an incredible 30-year foundation, we’re redefining football with EA SPORTS FC - a genre-leading ecosystem of interactive experiences, bringing a global community of football fans closer to The World's Game. Together, we’re taking the largest football club in the world to new heights – and this is just the beginning!

As our Games Software Engineer you will report to the team's Development Director. You will work on complex problems with Producers, Designers, Artists and other Engineers in domains including game mode logic, user interface, online, and tools.

Your Responsibilities:

• Work with Server and Client engineers to establish, hook up and test end-to-end functionality.
• Use and design REST based HTTP APIs.
• Work with the game’s UI tech stack.
• Design, implement, test, debug and maintain code for game features or components.
• Architect and document technical designs for game technology and features.
• Measurably improve process and best practices to achieve targets.
• Collaborate within and across teams of technical and non-technical game developers, locally or remotely.

Your Qualifications:

• Bachelor's degree in computer science or related field, or equivalent training and professional experience.
• 5+ years of experience in software development and can demonstrate good development practices.
• Good grasp of the C++ programming language, best practices, and architectural considerations.
• Good understanding of object-oriented design and online services (HTTP via REST).
• Good debugging skills and familiarity with network programming and memory management.
• Familiarity with the XML and JSON formats.
• Experience with Visual Studio and source control systems.
• Experience with Live Service Games is beneficial.
• Strong Communication Skills and teamwork skills
• Good Understanding of working with legacy code and legacy code risk mitigation
• Experience with Live games and/or commerce services is a plus

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES

• British Columbia (depending on location e.g. Vancouver vs. Victoria) $104,500 - $142,800 CAD

Pay is just one part of the overall compensation at EA.

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs.

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ABOUT THE ROLE:

The X Developer Platform team owns the partner ecosystem that connects X with B2B and B2C developers around the world. X reaches more than 500 million active users who produce billions of posts every week, and that activity generates signals and capabilities that go far beyond a conversation to listen to: real-time knowledge of what is happening in the world, rich media, commerce, communities, and the connective tissue between people, businesses, and now agents. Our job is to make that value available to developers as the everything API, so that anyone can build products on top of X. Our mission is to help achieve the X Everything app and make X the clear digital townsquare of Earth. We do this by making X data and functionality available through a consistent and reliable API suite, so that developers and the emerging world of agents can realise its full potential. Behind the scenes we collect, process, enrich, and deliver hundreds of billions of signals a day. The products we build are highly available, scalable, optimised, respectful of X's user base, and essential to the customers who depend on them. We work closely with our Product and Business counterparts and directly with customers to shape what we build next.

X Developer API Products Include:

• Real-time delivery of public posts and events, filtered and enriched to match each customer's use case
• Search and retrieval across the full historical archive of public content on X
• APIs for creating, publishing, and managing content and interactions programmatically
• Engagement, audience, and performance data that powers analytics and measurement products
• Enrichment layers that add context, structure, and relevance signals to raw platform data
• Interfaces designed for programmatic consumers, enabling agents and automated systems to read from and act on the platform safely
• Developer tooling, documentation, and self-serve onboarding that make the platform easy to adopt and integrate

RESPONSIBILITIES:

• Collaborate with engineering, product leadership, business leadership, and engineers across the company.
• Maintain and improve the systems that serve our existing customers while designing and shipping new products that expand what the platform can do.
• Design clean, reliable, well-abstracted solutions to problems of scale, correctness, and developer experience.
• Help shape the architecture of the platform as it grows to serve new categories of consumers, including agents and automated systems.

BASIC QUALIFICATIONS:

• MS or BS in Computer Science
• 5+ years of industry experience working on commercial software application or services
• Distributed Systems experience (Kafka experience is a plus)
• Experience working with RPC frameworks and microservices
• Understanding of core CS concepts, such as, common data structures and algorithms
• Experience with front-end development technologies (e.g., HTML, CSS, JavaScript)
• Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud)

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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As a Software Engineer - Search Infrastructure, you'll design and build scalable, high-performance systems that power search infrastructure, handling massive write and query loads with strict latency and reliability requirements.

Responsibilities:

• Design and build large-scale search infrastructure (real-time indexing, serving, and data pipelines)
• Go deep into search internals (indexing, query execution, and relevance) and help shape the technical direction of the core search infrastructure
• Operate production services end-to-end, including monitoring, debugging, incident response, and performance optimization
• Lead and drive incident responses and recovery with peers

Basic Qualifications:

• 5+ years developing large-scale infrastructure, distributed systems, or experience with storage or hardware architecture
• Proficient in high-performance Rust, C++, or JVM-based languages
• Hands-on experience with search and indexing technologies (Elasticsearch, Lucene, or similar)
• Experience with operating system internals, filesystems, networking, or database storage engines
• Obsessed with performance, reliability, scalability, and quality
• Ability to take full ownership of problems and learn whatever is needed to solve them
• Comfortable moving quickly in a fast-paced environment with shifting priorities and tight deadlines

Compensation and Benefits:

$150,000 - $400,000 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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EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.

Our Advanced Technology Group is part of the EA SPORTS Technology organization, focusing on identifying and creating new, scalable technologies for game teams. We are looking for close collaboration with game teams, central art teams, and the Frostbite engine team; though the technologies developed can apply to many different engines, environments, and hardware platforms. You will work on our strategic, multi-year projects focused on improved creation pipelines and runtime functionality, both users facing and internal, for all EA SPORTS titles.

As a Generalist Software Engineer, you will be a part of the game creation process, including architectural design, implementation, and debugging on multiple platforms,working on complex problems with Designers, Artists and other Engineers in domains including rendering, gameplay, audio, user interface, online, physics, databases, and tools. You will report to the team's manager and work with your peers on developing the game's foundation layer.

Your Responsibilities:

• You will work on technical solutions covering main aspects of game-development, covering main areas of game development technologies, game features and optimizations of frame-rate and load-times
• You will work with other domain owners to integrate and develop technologies into the game
• You will analyze impact to above mentioned metrics throughout the development cycle
• You will provide feedback, guidance and solutions for improvement and optimizations

Your Qualifications:

• 6+ years of experience in C++ software development
• Proficiency in integrating and maintaining large-scale systems covering multiple domains
• Understanding of memory management, multiple processor use, and run-time optimization
• Knowledge of assembler, scripting languages (Phyton, Lua) and C#
• Experience with 3rd party APIs
• Skills debugging complex applications
• Knowledge of job-based architectures might come in handy
• Strong understanding of geometry, linear algebra, calculus, and physics as they pertain to transformations and motions in 3D Space
• Bachelor's degree in computer science or related field, or equivalent training and professional experience
• Experience with any of these beneficial, but not required: XBOX and PlayStation platforms; Mobile, PC, or Cloud-based games, graphics libraries such as DirectX, OpenGL, or Metal, static and performance

Pay Transparency - North America

COMPENSATION AND BENEFITS

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES \* British Columbia (depending on location e.g. Vancouver vs. Victoria) $141,400 - $204,400 CAD

Pay is just one part of the overall compensation at EA.

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs.

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The ideal candidate will architect and deliver resilient OT infrastructure supporting BMS, EPMS, SCADA, PLC, and related OT systems capable of supporting ultra-dense AI compute loads, massive power infrastructure, and aggressive deployment timelines.

Responsibilities:

• Own end-to-end OT critical infrastructure design, programming, configuration, commissioning, sustainment, and ongoing optimization.
• Provide on-call network infrastructure support for BMS, EPMS, SCADA, PLC, and related systems.
• Design, implement, and secure OT networks and communications.
• Drive cross-functional multidisciplinary coordination with various teams.
• Perform advanced troubleshooting, root-cause analysis, and continuous improvement of OT systems.
• Deliver rapid, high-quality responses to field issues, design reviews, RFIs, and operational needs.
• Identify and implement innovative solutions in industrial automation.
• Mentor junior engineers and technicians.

Basic Qualifications:

• Bachelor’s degree in Controls Engineering, Automation Engineering, Electrical Engineering, Mechatronics, Computer Engineering, or a related technical field.

Preferred Skills and Experience:

• 5+ years of progressive experience as a Controls / OT / Automation Engineer.
• Direct experience designing, implementing, and sustaining OT infrastructure in large-scale critical infrastructure environments.
• Systems administration experience for virtualization platforms, Juniper networks, and SQL databases.
• Experience hardening and monitoring OT servers.
• Experience with industrial communication protocols and OT network design/segmentation.

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You will ensure engineering teams get the right data they need,high-quality tasks and evaluations,by crafting and executing high-value Human Data projects. You sit at the intersection of engineering and data operations: partnering with model teams, designing projects that capture meaningful signals, and driving data yield and eval lift.

Responsibilities

• Partner with model and engineering teams to understand needs and translate them into high-value data projects and evaluation strategies.
• Own end-to-end delivery of critical data and eval projects that capture meaningful training signals and support rapid model development.
• Build tools and systems to measure data effectiveness (data yield, eval lift, usage), and run evaluations yourself to continuously improve quality.
• Maintain rigorous data integrity and truthfulness, including validation processes for factual accuracy; prioritize quality over quantity.
• Research, implement, and evaluate techniques for data collection, annotation, generation, and multi-modal integration.
• Shape Grok's behavior and domain performance through targeted data work.
• Design and improve annotation workflows, labeling interfaces, and related tools with a focus on data quality and integrity.
• Act as a liaison between engineering, technical staff, and tutoring / Human Data teams to drive alignment and knowledge sharing.
• Collaborate with Human Data Ops and stakeholders to scale projects, share learnings, and contribute to demand forecasting; report status, insights, and blockers for rapid decisions.

Basic Qualifications

• Bachelor's degree in engineering, computer science, or a related STEM discipline, or 4+ years of experience in lieu of a degree
• Experience collaborating with cross-functional teams (engineering, research, product, or annotation/operations groups)
• Demonstrated experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems

Preferred Skills and Experience

• Master's degree or higher in a relevant technical field
• Direct experience curating, evaluating, or improving training or evaluation datasets for large language models or other AI/ML systems
• Experience designing, supporting, or optimizing annotation tools, labeling interfaces, or data workflows that prioritize factual accuracy and data integrity
• Familiarity with multimodal data (text + images, code, or other modalities) or domain-specific data (science, mathematics, programming, recent events, etc.)
• Experience conducting model or dataset evaluations focused on quality, truthfulness, or alignment with product goals
• Experience in a scripting language like Python
• Experience in SQL or other data analysis tools

Additional Requirements

• Weekend work may be required.
• Travel to other SpaceXAI sites may be required.

Compensation and Benefits

$144,000 - $270,000 USD Base salary is just one part of our total rewards package at SpaceXAI, 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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EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.

Our Advanced Technology Group is part of the EA SPORTS Technology organization, focusing on identifying and creating new, scalable technologies for game teams. We closely collaborate with game teams, central art teams, and the Frostbite engine team; though the technologies developed can apply to many different engines, environments, and hardware platforms. You will work on our strategic, multi-year projects focused on content creation experiences, improved creation pipelines and runtime functionality, both internal and player facing, for all EA SPORTS titles.

Your Responsibilities:

• Design and train ML and computer vision solutions for complex challenges in 2D and 3D including generative modeling and content generation.
• Implement and deliver production-ready ML systems that respect real-world game development constraints such as performance, tooling, and iteration speed.
• Create intuitive, easy-to-use ML powered workflows that reduce repetitive manual work while empowering creators to move faster and think bigger.
• Optimize production-ready models and pipelines to improve training and inference efficiency while maintaining high output quality.
• Evaluate, extend, and improve both internal and external ML technologies, pushing them further for game-specific use cases.
• Work closely with content creators and software engineers to ensure tools are maintainable, effective, and genuinely enjoyable to use.
• Stay current with cut-edge research in Machine Learning, continuously evaluating how new ideas can be applied to games.

Your Qualifications:

• A Bachelor’s degree in Computer Science, Applied Math, Statistics, Machine Learning, or equivalent practical experience.
• Expert-level proficiency in Python, with deep hands-on experience writing clean, scalable, and high-performance code.
• Strong command of advanced language features such as generators, decorators, and context managers.
• A solid foundation in linear algebra, statistics, and mathematical optimization.
• 1–2+ years of hands-on Machine Learning experience, with a strong, practical, problem-solving mindset.
• The ability to take ideas from research papers to the working system, balancing innovation with usability and performance.

COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES

• British Columbia (depending on location e.g. Vancouver vs. Victoria) $122,300 - $170,700 CAD

Pay is just one part of the overall compensation at EA.

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. They want AI to be safe and beneficial for users and society.

About the role

Anthropic is building custom silicon for Claude. The hardware models run on is a direct lever on capability, cost, and reliability. They're looking for a Technical Program Manager to own end-to-end execution of silicon, from architecture definition through tapeout, first-silicon bring-up, and production ramp.

You'll work alongside domain experts across front-end design, verification, physical design, DFT, analog/mixed-signal, foundry, and packaging. You'll drive a portfolio of external engagements , ASIC design services, IP vendors, foundry, and OSAT.

Key responsibilities

• Own the integrated silicon program plan , architecture closure, RTL freeze, DV milestones, IP delivery, PD closure, DFT, tapeout, and post-silicon bring-up.
• Drive external partner execution across ASIC design partners, IP vendors, foundry, and packaging/test.
• Run technology and IP selection as a program: track candidate vendors and options, drive evaluations to a decision, and land build/buy/license calls with engineering leadership.
• Build execution mechanisms a silicon team needs , milestone definitions, risk and dependency tracking, design reviews, release management, exec reporting.
• Manage the interface between silicon and its consumers: hardware systems for package/board/bring-up, and inference/kernels/compiler teams for hardware-software co-design.
• Own the post-silicon program , bring-up planning, ATE/test handoff, sample distribution, validation, and the path to production readiness.
• Develop and share AI-assisted approaches to program management.

Minimum qualifications

• 8+ years in silicon/SoC program management, chip lead, or equivalent role that owned a chip schedule end-to-end.
• Direct ownership of at least one program that taped out and reached production.
• Working technical fluency across the silicon lifecycle , front-end, DV, PD, DFT, foundry, packaging.
• Experience running external silicon partners , ASIC houses, IP vendors, foundry, or OSAT.
• Track record of building program mechanisms from scratch on an ambiguous, fast-moving effort.
• Strong written communication , plans, reviews, and exec updates.

Preferred qualifications

• Experience on ML accelerators, high-performance compute, networking, or large, high-bandwidth SoCs at advanced process nodes.
• Experience on a first-generation or early silicon program.
• Experience with both partner-executed and fully in-house programs.
• Prior hands-on engineering background in one or more silicon domains.
• Familiarity with the chip-package-system interface and co-design with a hardware systems team.
• Experience with hardware-software co-design programs.

Logistics

• Annual Salary: $365,000-$435,000 USD
• Location-based hybrid policy: Currently, staff are expected to be in one of our offices at least 25% of the time.
• Visa sponsorship: We do sponsor visas.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space.

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Anthropic is building custom silicon for Claude. The hardware our models run on is one of the most direct levers we have on capability, cost, and reliability , and we've decided to take design authority over it ourselves.

We're looking for a Technical Program Manager to own end-to-end execution of our silicon, from architecture definition through tapeout, first-silicon bring-up, and production ramp. You'll be working alongside a small group of domain experts across front-end design, verification, physical design, DFT, analog/mixed-signal, foundry, and packaging. There is no process to inherit , you'll build the execution machinery this program runs on.

This is a partner-heavy program by design. You'll drive a portfolio of external engagements , ASIC design services, IP vendors, foundry, and OSAT. You should have shipped chips before, know what a realistic silicon schedule looks like and its failure modes, and be comfortable making consequential program calls without a large organization behind you. And because this is Anthropic, you'll have Claude as a collaborator , we expect the TPMs on this team to push hard on what AI-assisted program management can look like.

Key responsibilities

• Own the integrated silicon program plan , architecture closure, RTL freeze, DV milestones, IP delivery, PD closure, DFT, tapeout, and post-silicon bring-up.

• Drive external partner execution across ASIC design partners, IP vendors, foundry, and packaging/test.

• Run technology and IP selection as a program: track candidate vendors and options, drive evaluations to a decision, and land the build / buy / license calls with engineering leadership.

• Build the execution mechanisms a silicon team needs , milestone definitions, risk and dependency tracking, design reviews, release management, exec reporting , and keep them lightweight enough that engineers actually use them.

• Manage the interface between silicon and its consumers: hardware systems for package/board/bring-up, and inference/kernels/compiler teams for hardware-software co-design, so trade-offs land as coordinated decisions rather than late surprises.

• Own the post-silicon program , bring-up planning, ATE/test handoff, sample distribution, validation, and the path to production readiness.

• Develop and share AI-assisted approaches to program management , schedule and dependency modeling, spec and milestone consistency checking, partner-deliverable tracking, status synthesis.

Minimum qualifications

• 8+ years in silicon/SoC program management, chip lead, or an equivalent role that owned a chip schedule end to end.

• Direct ownership of at least one program that taped out and reached production, with milestones you can speak to in detail , including where it slipped and what you did about it.

• Working technical fluency across the silicon lifecycle , front-end, DV, PD, DFT, foundry, packaging.

• Experience running external silicon partners , ASIC houses, IP vendors, foundry, or OSAT , including SOW scoping, delivery tracking, and escalation.

• Track record of building program mechanisms from scratch on an ambiguous, fast-moving effort.

• Strong written communication , plans, reviews, and exec updates that many teams depend on.

• Comfort operating with high autonomy and limited process on a highly dynamic program.

Preferred qualifications

• Experience on ML accelerators, high-performance compute, networking, or other large, high-bandwidth SoCs at advanced process nodes.

• Experience on a first-generation or early silicon program, including standing up flows, methodology, or vendor relationships from nothing.

• Experience with both partner-executed and fully in-house programs, and a view on the trade-offs between them.

• Prior hands-on engineering background in one or more silicon domains (design, DV, PD, DFT, or SI/PI).

• Familiarity with the chip-package-system interface and co-design with a hardware systems team.

• Experience with hardware-software co-design programs , working directly with compiler, kernel, or runtime teams.

• Practical experience using AI tools in your own workflow, and clear ideas about where they help and where they don't.

• BS/MS in EE, CE, CS, or a related field, or equivalent experience.

The annual compensation range for this role is $365,000-$435,000 USD.

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Responsibilities:

• Deliver a regular read on the ground truth in RL research
• Work with RL org leads on prioritising, ranking, and tracking the state of experiments
• Drive research reviews end to end
• Establish processes and frameworks that bring structure to an unstructured research setting
• Collaborate with research leads, infrastructure engineers, and data operations to identify blockers and make technical trade-off decisions

The annual compensation range for this role is $365,000-$435,000 USD.

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We are seeking a Technical Program Manager to lead the execution of custom hardware systems from concept to production deployment.

The successful candidate will drive the program that turns architecture and specs into boards and racks that ship, managing ODMs, CMs, and component vendors, and coordinating silicon, firmware, infrastructure software, supply chain, and datacenter teams.

Key Responsibilities:

• Own the integrated hardware systems program plan across board, chassis, rack, and interconnect
• Drive execution with ODMs, contract manufacturers, and component/optics vendors
• Stand up and run the NPI cadence
• Drive the bring-up and validation program for new platforms
• Own the interfaces between hardware and other teams
• Run partner and technology evaluations
• Own program communication upward and outward
• Develop and share AI-assisted approaches to hardware program management

Minimum Qualifications:

• 8+ years in hardware systems / NPI program management
• Direct ownership of at least one platform from concept through volume production
• Working technical fluency across the hardware stack
• Experience managing ODMs/CMs and component vendors
• Track record of standing up program mechanisms on a new or early-stage hardware effort
• Strong written communication
• Comfort operating with high autonomy and limited process

Preferred Qualifications:

• Experience with AI/ML accelerator systems, HPC, or hyperscale datacenter platforms
• Experience taking a first-generation, custom-silicon-based system from bring-up through fleet deployment
• Experience with liquid-cooled and/or high-density rack architectures
• Familiarity with the chip-package-system interface
• Experience with datacenter integration, deployment, and fleet-scale reliability/RAS programs
• Practical experience using AI tools

Logistics:

• Annual Salary: $365,000-$435,000 USD
• Location-based hybrid policy: 25% office time
• Visa sponsorship: Available

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You will operate according to project engineering processes, with particular attention to requirements management, functional safety, compliance with HV safety requirements, and traceability throughout the project lifecycle. Your work will involve adhering to current directives, international standards, electrical safety and high voltage regulations, internal technical standards, emerging technologies, and specific customer requirements.

Key responsibilities:

• Design high voltage systems and subsystems for integration into development and testing applications, including HV batteries, Battery Management Systems (BMS), battery packs, battery modules, charging systems, HV distribution systems, power electronics, and electrified powertrains.
• Develop and manage HV system architectures, ensuring compliance with performance, safety, and customer specifications.
• Define, manage, and maintain requirements, interfaces, and traceability for battery and high voltage systems throughout the development lifecycle.
• Collaborate with cross-functional and international project teams to ensure effective integration of HV systems.
• Work closely with global engineering teams to share knowledge, best practices, and support international projects.
• Interact directly with customers to gather requirements, clarify technical specifications, and present solutions related to batteries and HV systems.
• Provide technical support and troubleshooting for battery systems, high voltage systems, and test systems.
• Support the integration of HV components such as batteries, chargers, inverters, DC/DC converters, Power Distribution Units (PDUs), and related control systems.
• Ensure compliance with applicable high voltage safety standards, electrical regulations, battery safety requirements, and customer specifications.
• Participate in hazard analysis, system-level risk assessments, and safety reviews of HV systems.
• Support the definition and implementation of HV safety concepts, including electrical isolation, interlock systems, grounding, protection strategies, and safe operating procedures.
• Collaborate with manufacturing and commissioning teams to ensure effective industrialisation of solutions and proper transfer to production and installation environments.
• Provide technical support during installation, commissioning, and validation activities.
• Identify and resolve complex issues with HV systems through root cause analysis and structured problem-solving methodologies.
• Implement corrective and preventive actions to improve reliability, safety, and performance of systems.
• Promote the reuse of best practices, methodologies, and solutions developed in other projects and within global organisations.
• Prepare technical instructions and engineering documentation, considering functional requirements, planning, quality, and safety.
• Provide technical clarifications to customers regarding system requirements, functionality, interfaces, and HV safety aspects.
• Perform breakdown of requirements, functions, and system architecture into engineering work packages.
• Continuously analyse project requirements, customer use cases, operational scenarios, and functional specifications.
• Plan, coordinate, and review integration, verification, validation, and acceptance activities for battery and high voltage systems.
• Support verification and validation activities for HV systems, including test planning, test execution, result analysis, reporting, and resolution of issues.
• Contribute to initiatives for optimising HV system performance, improving reliability, and technological innovation.

Requirements:

• Technical diploma and/or Bachelor's or Master's degree in Electrical Engineering, Electronics Engineering, Mechatronics, Mechanical Engineering, Energy Engineering, Automotive Engineering, or related disciplines.
• 4-7 years of experience in Battery Systems, High Voltage Systems, Electrification Systems, Energy Storage Systems, Automotive Systems Engineering, or equivalent sectors.
• Experience in developing battery systems, HV power distribution systems, charging systems, power electronics, or electric propulsion systems.
• Solid knowledge of high voltage electrical systems, HV safety principles, electrical protection concepts, and electrified vehicle architectures.
• Familiarity with Battery Management Systems (BMS), charging technologies, and energy storage systems.
• Excellent analytical, problem-solving, and systemic approach skills.
• Availability for national and international travel.
• Fluent business English language skills.

We offer:

• Starting salary: 46,000€
• CCNL Metalmeccanico Industry collective agreement

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As a Principal Applied Scientist on the Microsoft Ads Fraud Detection team, you will lead the most complex and ambiguous fraud challenges: designing new anomaly detection approaches to surface emerging attacks early, building robust cross-signal correlation frameworks to define and expand fraud perimeters, and developing next-generation ML models and low-latency pipelines that stop attacks before they scale.

Your work will directly influence platform capabilities.

Responsibilities

• Independently lead and execute multiple high-impact fraud detection initiatives, turning ambiguous problems into measurable business outcomes.
• Develop practical, deployable machine learning (ML) solutions that operate reliably at production scale, balancing detection effectiveness, latency, resilience, operational complexity, and cost.
• Translate scientific insights into production impact through rigorous experimentation, validation, rollout, monitoring, and continuous optimization under real-world operating constraints.
• Apply advanced ML methods,including anomaly detection, cross-signal analysis, large language models (LLMs), and other modern AI techniques,with clear evaluation frameworks, robust tests, and success metrics to deliver reliable, scalable, production-ready solutions.
• Drive technical collaboration across science, engineering, ads, security, and privacy teams to operationalize research and deliver end-to-end fraud detection capabilities.
• Raise the technical bar through mentorship, scientific rigor, responsible AI practices, and high standards for quality, reliability, and governance.

Qualifications

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
• 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 5+ years experience conducting research as part of a research program (in academic or industry settings).
• 3+ years experience developing and deploying live production systems, as part of a product team.
• 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

The typical base pay range for this role across the U.S. is USD $142,800 – $274,800 per year.

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As a Staff Software Engineer (IC5) on the Inference team, you will operate as a technical leader across multiple teams and services, driving architecture, performance, and reliability for CoreWeave’s Kubernetes-native inference platform.

Responsibilities:

• Define and lead complex, cross-cutting design initiatives spanning request routing, adaptive scheduling, GPU resource management, and cost-per-token optimization under strict P99 SLAs.
• Implement advanced inference optimizations,such as speculative decoding and KV-cache reuse,while establishing performance benchmarking frameworks.
• Guide cross-functional alignment across infrastructure boundaries and raise the bar for engineering rigor and observability practices.

Requirements:

• ~8–12+ years of experience building large-scale distributed systems or cloud platforms.
• Proven track record of leading cross-team or organization-level technical initiatives at scale.
• Strong coding skills in Go, Python, or C++.
• Deep expertise in Kubernetes at production scale, including orchestration, scheduling, and service design.
• Strong understanding of networked systems, performance optimization, and distributed system design.
• Hands-on engineering experience with inference systems, including batching/micro-batching strategies, caching, memory optimization, mixed precision (BF16/FP8), and streaming token delivery.
• Demonstrated ability to systematically improve tail latency (P95/P99) and platform reliability through metrics-driven engineering.
• Experienced in owning system-wide SLIs/SLOs, capacity planning, autoscaling strategies, and mentoring senior and mid-level engineers.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Preferred Qualifications:

• Direct open-source or production contributions to modern inference frameworks such as vLLM, Triton, TensorRT-LLM, Ray Serve, or TorchServe.
• Deep experience with GPU systems engineering and hardware performance optimization (CUDA, NCCL, RDMA, NUMA, or GPU interconnects).
• Direct exposure to large-scale AI/ML infrastructure or hyperscale cloud environments.

What We Offer:

• Base salary range: £116,000 to £155,000.
• Comprehensive benefits program, including medical, dental, and vision insurance, company-paid Life Insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, ability to participate in employee stock purchase program (ESPP), mental wellness benefits, family-forming support, paid parental leave, flexible, full-service childcare support, 401(k) with a generous employer match, flexible PTO, catered lunch each day in our office and data center locations, a casual work environment, and a work culture focused on innovative disruption.

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The Okta Secures AI Team is building the future of digital identity management. The way companies are using agents and allowing them access is undergoing a fundamental shift, enabling teams to move fast while staying secure. Our North Star is clear: To get AI right, you have to get identity right. We are not just managing identities; we are building the industry's first Identity Security Fabric for the agentic era.

As a Staff FullStack Engineer on the Okta Secures AI team, your mission is to build the industry's first Identity Security Fabric for the agentic era. You are the architect of our unified control plane, ensuring that we operationalize our North Star: "To get AI right, you have to get identity right."

You will:

• Proactively shape the technical strategy of the Identity Security Fabric, partnering with leadership to prioritize open standards like IPSIE.
• Govern and monitor agentic behavior by implementing the four-pillar maturity model across our fullstack ecosystems.
• Architect for the agentic era, ensuring systems can discover and secure all agents, including "Shadow AI" assets.
• Enforce secure access and least privilege for agents through capabilities like Agent Gateways and short-lived credentials.
• Drive continual evolution in the adoption of AI-native development practices, helping the team rethink how we design, review, and ship software with AI as a core part of the workflow.
• Proactively identify and prioritize tech debt; drive improvements in areas beyond feature work - CI/CD, observability, documentation, reliability, and support processes.
• Partner with Product and Design to understand and own the desired customer outcome, not just the technical deliverable.
• Actively invest in the growth of peer engineers, taking responsibility for raising the technical bar of the team as a whole.

Requirements:

• Operates well beyond basic AI tool usage - understands how to apply AI meaningfully across the full software development lifecycle, can evaluate and adopt new AI tooling with good judgment, and is able to establish practices and bring a team along.
• Proven experience defining scalable backend architectures and integrating complex APIs with modern web technologies - including the ability to make and defend architectural decisions with lasting org-wide impact.
• Solid understanding of web authentication and authorization fundamentals - how auth flows work, and best practices for securing sensitive user data.
• Deep expertise in building highly reliable, secure, enterprise-grade software using Java or another type-safe programming language.
• Proficiency in JavaScript/TypeScript, with the ability to navigate and contribute to the frontend to unblock feature development.
• Strong understanding of cloud architecture principles, with experience designing and operating large-scale services on AWS.

Nice to have:

• Prior experience leading a team of engineers through a meaningful shift in ways of working - whether around AI adoption, developer tooling, or engineering culture change.
• Experience building or maintaining publicly released SDKs used by external developers.
• Experience in one of the following areas is preferred: developing Identity and Access Management (IAM) tooling and contributing to a "zero-to-one" startup-like team.

In addition to a competitive salary, Okta offers equity, bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave.

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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.

Senior Android Engineer – Universal Components

We are looking for an experienced, developer-focused Senior Android Engineer to join our Universal Components team.

Job Description

You will leverage a developer-first mindset to build, architect, and maintain our open-source UI components, SDKs, and libraries.

You will serve as an internal and external steward for the technologies you work with daily, shepherding our platforms forward and directly improving our entire developer journey.

What You’ll Be Doing

• Building Modular UI: Architecting and developing composable, production-ready UI components from the ground up using Jetpack Compose and traditional XML views where necessary.
• SDK Leadership: Directly shaping, developing, and maintaining our open-source Universal Components Android SDKs and client libraries.
• Authoring Developer Resources: Writing, curating, and polishing technical content, including tutorials, guides, sample applications, and comprehensive API documentation.
• Community & Advocacy: Championing Auth0 by engaging directly with the open-source developer community, providing domain knowledge, and offering technical assistance.
• Domain Expertise & Mentorship: Serving as the go-to technical expert internally and externally, conducting thorough code reviews, and upholding high quality and UI testing standards across our mobile libraries.
• Knowledge Sharing: Representing the company by sharing your technical expertise at conferences, tech events, community forums, or through technical publications.
• Maintenance & Modernization: Troubleshooting, debugging, and fixing complex issues across client libraries while keeping pace with modern Android architecture and platform standards.

What You’ll Bring to the Role

• 5+ years of professional expertise in native Android development using Kotlin & Java.
• 3+ years of hands-on expertise building production interfaces with Jetpack Compose.
• Proven ability to seamlessly translate design mocks into clean, modular, and accessible Compose code.
• Strong track record of developing reusable Android UI libraries, SDKs, or widely used application architectures.
• Deep understanding of Android frameworks, core architecture components, and the broader Android ecosystem.
• Experience deploying applications to the Google Play Store or publishing packages/libraries to artifact repositories.
• Deep understanding of CI/CD platforms and running automated UI and unit tests in continuous integration environments.
• Excellent written and verbal communication skills with demonstrable experience authoring developer documentation.

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You'll own engineering execution and technical direction for the Conversation Product Area, including the Agent Engine, evaluation infrastructure, Search platform, AI Voice platform, and consumer agentic features. You'll co-lead the Product Area with a product counterpart, managing a team of ~70 engineers, and drive the migration of existing agentic infrastructure onto the shared Agent Engine.

Responsibilities:

• Own engineering execution and technical direction for the Conversation Product Area
• Co-lead the Product Area in a paired product/engineering model
• Manage a team of ~70 engineers
• Drive the migration of existing agentic infrastructure onto the shared Agent Engine
• Own the technical strategy for Spotify's first-party voice investment
• Define and hold the technical bar on evaluation
• Set and enforce engineering quality standards
• Participate as a full member of the broader leadership group
• Represent the Conversation PA's engineering point of view in high visibility, company-wide architecture and steerco conversations

Requirements:

• Deeply technical, not tech-adjacent
• Experience running large engineering orgs through platform consolidations, migrations, or evolutions
• Experience with at least two of: LLM-based agent systems, evaluation/eval-infrastructure design, large-scale retrieval or search systems, or speech/voice ML systems
• Track record of building strong but nimble teams

Location: Flexible within North Americas or EMEA region Salary: $281,196 – $401,709 USD, plus equity Benefits: Health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave

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The role focuses on the specification, design, integration, verification, validation, and troubleshooting of battery and HV systems across multiple development and testing applications.

Key responsibilities include:

• Designing high voltage systems and related sub-systems for integration into multiple testing and development applications
• Developing and managing system architectures for HV systems, ensuring compliance with performance, safety, and customer requirements
• Defining, managing, and maintaining battery and HV system requirements, interfaces, and traceability throughout the development lifecycle
• Collaborating with cross-functional and global project teams to ensure effective integration of HV systems
• Providing technical support and troubleshooting for battery, HV, and test system-related issues

Requirements:

• Technical high school diploma and/or Bachelor's or Master's degree in Electrical Engineering, Electronics, Mechatronics, Mechanical Engineering, Energy Engineering, Automotive Engineering, or a related discipline
• 4-7 years of experience in Battery Systems, High Voltage Systems, Electrification Systems, Energy Storage Systems, Automotive Systems Engineering or related area of expertise
• Experience with battery development projects, HV power distribution systems, charging systems, power electronics, or electric propulsion systems
• Solid understanding of high voltage electrical systems, HV safety principles, electrical protection concepts, and electrified vehicle architectures

We offer:

• Starting Salary: 46,000€
• CCNL Metalmeccanico Industria contract

AVL Italia S.p.A., founded in 1980, provides the full portfolio of AVL technologies at the local level, offering customized solutions tailored to its customers. With more than 40 years of experience and the support of a strong, highly qualified local team, AVL Italia is committed to making sustainable mobility a reality for everyone.

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As a Technical Program Manager on the reinforcement learning team at Anthropic, you will own the systems and programs that determine the pace of our research. Your primary focus will be on ensuring the smooth operation of our research processes, making informed decisions, and collaborating with various teams.

Responsibilities

• Deliver regular updates on the state of RL research, covering performance against baselines, experiment results, and incidents.
• Prioritize and track experiments with RL org leads.
• Drive end-to-end research reviews, set agendas, and ensure effective decision-making.
• Establish processes and frameworks to structure research without hindering progress.
• Collaborate with research leads, infrastructure engineers, and data operations to identify blockers and make technical trade-off decisions.

Requirements

• Background in ML engineering or ML research before transitioning to technical program management.
• Hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure.
• Proven track record of building execution plans and processes that reduce operational overhead.
• Ability to learn quickly, navigate ambiguity, and drive progress in a fast-moving research setting.
• Excellent stakeholder management and communication skills.

Benefits

• Competitive compensation: $365,000-$435,000 USD per year.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Lovely office space.

Logistics

• Minimum education: Bachelor’s degree or equivalent.
• Required field of study: Relevant to the role.
• Minimum years of experience: Correlates with internal job level requirements.
• Location-based hybrid policy: 25% office time expected.
• Visa sponsorship: Available.

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We're looking for a Technical Program Manager to own execution of custom hardware systems from concept through production deployment. You'll drive the program that turns architecture and specs into boards and racks that ship , managing ODMs, CMs, and component vendors on one side, and coordinating silicon, firmware, infrastructure software, supply chain, and datacenter teams on the other.

Key Responsibilities:

• Own the integrated hardware systems program plan across board, chassis, rack, and interconnect , from requirements through EVT/DVT/PVT, qualification, and production ramp.
• Drive execution with ODMs, contract manufacturers, and component/optics vendors.
• Stand up and run the NPI cadence , build matrix, engineering reviews, DFx, issue triage, exit criteria.
• Drive the bring-up and validation program for new platforms.
• Own the interfaces that make or break a hardware program.
• Run partner and technology evaluations as a program.
• Own program communication upward and outward.
• Develop and share AI-assisted approaches to hardware program management.

Minimum Qualifications:

• 8+ years in hardware systems / NPI program management.
• Direct ownership of at least one platform from concept through volume production.
• Working technical fluency across the hardware stack.
• Experience managing ODMs/CMs and component vendors.
• Track record of standing up program mechanisms on a new or early-stage hardware effort.
• Strong written communication.
• Comfort operating with high autonomy and limited process in a fast-moving, ambiguous environment.

Preferred Qualifications:

• Experience with AI/ML accelerator systems.
• Experience taking a first-generation, custom-silicon-based system from bring-up through fleet deployment.
• Experience with liquid-cooled and/or high-density rack architectures.
• Familiarity with the chip-package-system interface.
• Experience with datacenter integration, deployment, and fleet-scale reliability/RAS programs.
• Practical experience using AI tools in your own workflow.

Logistics:

• Annual Salary: $365,000-$435,000 USD
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
• Visa sponsorship: We do sponsor visas!

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As a Senior Solutions Architect at Elastic you will serve as a technical authority and trusted advisor to our sales team, customers, partners and community. You will understand and tackle our customers' business issues with the Elastic Stack, engage the regional Elastic community through events and programs, and enable sales through our Partners.

Responsibilities

• Serving as the technical point of contact for your accounts and account managers in your assigned territory.
• Developing a deep understanding of customers' goals and objectives, and articulating how our offerings address their needs.
• Creating and owning value-based relationships at all levels in customer organisations.
• Actively participating in all phases of planning and execution for your territory, from initial discovery to the technical win.
• Developing and maintaining a deep understanding of the Elastic products and solutions to demonstrate the value of our offerings in sales meetings, and at events such as meetups and conferences.
• Advising the sales team on effective ways of positioning Elastic products, solutions and services.
• Onboarding, educating and enabling our partners, and supporting them in sales cycles.
• Creating collateral, contributing to programs and collaborating with other Elasticians to meet individual client needs.
• Being the voice of the customer and community to communicate needs, gaps, and enhancements to our engineering and leadership teams.
• Deepening both your sales and technical skills through self-driven education while taking advantage of all the professional development opportunities provided by Elastic.

Requirements

• A track record of success in a technical presales role -- enough experience selling and implementing technology to earn your customer's trust.
• A proven track record to articulate and sell the benefits of modern platforms, software and technologies.
• A real passion for being curious and a continuous learner. You are someone that invests in yourself as much as you invest in your professional relationships.
• A history of successful customer relations where you developed an understanding of what made a difference, and devised architectures that helped meet a goal, tackle a problem, or outpace competitors.
• An ability to influence. Have you more than once convinced a team you worked for, of an idea, technology, or architectural pattern?
• The ability to inspire groups, both large and small.

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

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This leader will own the strategy, execution, and people leadership for programs that drive Windows Server readiness, OEM and silicon partner engagement, ecosystem enablement, and customer signals across the server platform.

The team sits at the intersection of Windows Server engineering and the global server hardware partner ecosystem and strategic customers.

Responsibilities

• Strategic Leadership
• Execute and evolve the strategy for Windows Server ecosystem readiness and partner enablement across OEM and silicon partners.
• Set direction for partner enablement platform transformation , evolving from 1:1 custom engagements to scalable, AI-assisted enablement models.
• Identify ecosystem trends, gaps, and opportunities to expand Windows Server adoption and partner success.
• Drive strategic alignment between Windows Server engineering roadmap and partner ecosystem requirements.

• Partner Engagement & Enablement
• Lead Voice of Partner feedback loops that connect ecosystem signals to product decisions.
• Build business cases for feature adoption and recruit partners and customers for validation programs.
• Drive partner and customer readiness for major releases.

• People & Organizational Leadership
• Lead and develop a team of PMs responsible for server ecosystem programs, partner enablement, and customer engagements.
• Create clarity, generate energy, and deliver success through influence, coaching, and organizational design.
• Build a diverse, inclusive team culture that attracts and retains top talent.
• Model Microsoft values and improve culture beyond the immediate team.

• Platform & Service Ownership
• Drive partner support modernization through AI-driven experiences, GitHub communities, and one-to-many technical guidance.
• Establish data-driven approaches to partner engagement KPIs, ecosystem health, and service reliability.
• Drive operational rigor through OKR frameworks and regular business reviews.

• Cross-Organizational Influence
• Represent the server ecosystem in leadership reviews and organizational forums.
• Collaborate across Windows Server engineering, Azure, and partner teams to align on readiness criteria and feature priorities.
• Build scalable systems and processes that continue producing results without constant oversight.
• Influence product decisions through ecosystem evidence, partner feedback, and market signals.

Qualifications

• Required/Minimum Qualifications:
• Bachelor’s Degree in Engineering, Computer Science, or related field AND 8+ years experience in relevant technical domain (e.g., cloud services, security), technical sales, marketing, product management, customer support, or cross-group/cross-functional engineering.
• OR equivalent experience.

• Preferred Qualifications:
• 10+ years of experience in product/program management or partner enablement in a technology company.
• 5+ years of people management experience leading PM teams.
• 5+ years of experience working with hardware OEMs, silicon partners, or enterprise ecosystem programs.
• Experience driving cross-organizational programs spanning engineering teams and external partners at scale.
• Deep understanding of the Windows Server ecosystem, server hardware lifecycle, and OEM business models.
• Experience with AI inference platforms, products, services, or related AI infrastructure technologies.
• Experience building AI-assisted support or enablement systems.
• Ability to manage executive level communications with leadership and external partners

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The Senior Software Engineer will join the self-service cloud growth team, focusing on human user onboarding and agents onboarding, directly influencing Elastic Cloud's growth.

Responsibilities

• Working as a full stack engineer, contributing to the backend and frontend of the product onboarding and trial experience.
• Designing and implementing new scalable features and APIs.
• Collaborating with PMs and designers to plan and design features.
• Implementing agentic interfaces for onboarding and trial experiences.
• Integrating cloud and Kibana onboarding flows with Elastic solution teams.
• Designing and implementing data evolution strategies to manage schema changes.

Requirements

• Strong proficiency in React and JavaScript/TypeScript.
• Strong proficiency in Node.js server frameworks like Hapi and Next.js.
• Front-end tech like HTML5, CSS3, and responsive design.
• Experience with RESTful APIs and async programming.
• Knowledge of Git and other code collaboration tools.
• Experience deploying and operationalizing software in production.
• Ability to plan, design, implement, and lead projects independently.
• Strong problem-solving skills and attention to detail.
• Knowledge of NoSQL databases, such as DynamoDB and Elasticsearch.
• Excellent communication and teamwork skills.

Nice to Have

• Knowledge of state management libraries like NgRx.
• Experience with Elasticsearch, Kibana, and Kubernetes.
• Knowledge of Java.

Benefits

• Competitive pay based on work.
• Health coverage for you and your family.
• Flexible locations and schedules.
• Generous number of vacation days.
• Matching up to $2000 for financial donations and service.
• Up to 40 hours for volunteer projects.
• Minimum of 16 weeks of parental leave.

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The Senior Software Engineer will join the self-service cloud growth team, focusing on human user onboarding and agents onboarding, directly influencing Elastic Cloud's growth.

Responsibilities

• Work as a full-stack engineer, contributing to the backend and frontend of the product onboarding and trial experience.
• Design and implement new scalable features and APIs.
• Collaborate with Product Managers and designers to plan and design features.
• Implement agentic interfaces for onboarding and trial experiences.
• Work with Elastic solution teams to integrate cloud and Kibana onboarding flows.
• Design and implement data evolution strategies to manage schema changes.

Requirements

• Strong proficiency in React and JavaScript/TypeScript.
• Strong proficiency in Node.js server frameworks like Hapi and Next.js.
• Experience with front-end technologies like HTML5, CSS3, and responsive design.
• Knowledge of RESTful APIs and async programming.
• Experience with Git and other code collaboration tools.
• Ability to deploy and operationalize software in production.
• Strong problem-solving skills and attention to detail.
• Knowledge of NoSQL databases, such as DynamoDB and Elasticsearch.
• Excellent communication and teamwork skills.

Nice to Have

• Knowledge of state management libraries like NgRx.
• Experience with Elasticsearch, Kibana, and Kubernetes.
• Knowledge of Java.

Benefits

• Competitive pay based on performance.
• Health coverage for you and your family.
• Flexible locations and schedules.
• Generous vacation days.
• Matching of up to $2000 for financial donations and service.
• Up to 40 hours per year for volunteer projects.
• Minimum of 16 weeks of parental leave.

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The Senior Software Engineer will join the self-service cloud growth team, focusing on human user onboarding and agents onboarding, directly influencing Elastic Cloud's growth.

Responsibilities

• Work as a full-stack engineer on the product onboarding and trial experience, contributing to both backend and frontend.
• Design and implement new scalable features and APIs.
• Collaborate with Product Managers and designers to plan and design features.
• Implement agentic interfaces for onboarding and trial experiences.
• Work with Elastic solution teams to integrate cloud and Kibana onboarding flows seamlessly.
• Design and implement data evolution strategies to manage schema changes without introducing breaking changes.

Requirements

• Strong proficiency in React and JavaScript/TypeScript.
• Strong proficiency in Node.js server frameworks like Hapi and Next.js.
• Experience with front-end technologies like HTML5, CSS3, and responsive design.
• Knowledge of RESTful APIs and async programming.
• Experience with state management libraries (like NgRx) is a bonus.
• Familiarity with Git and other code collaboration tools.
• Experience deploying and operationalizing software in production.
• Ability to plan, design, implement, and lead projects independently.
• Strong problem-solving skills and attention to detail.
• Knowledge of NoSQL databases, such as DynamoDB and Elasticsearch.
• Excellent communication and teamwork skills.
• Comfortable in fast-paced environments.
• Staying up-to-date with industry trends and best practices.

Nice to Have

• Knowledge of React.
• Knowledge of Java.
• Experience with Elasticsearch and Kibana.
• Experience with Kubernetes.

Benefits

• Competitive pay based on performance.
• Health coverage for you and your family.
• Flexible locations and schedules.
• Generous vacation days.
• Matching up to $2000 for financial donations and service.
• Up to 40 hours for volunteer projects.
• Minimum of 16 weeks of parental leave.

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The Senior Software Engineer will join the self-service cloud growth team, focusing on human user onboarding and agents onboarding, directly influencing Elastic Cloud's growth.

Responsibilities

• Work as a full-stack engineer on the product onboarding and trial experience, contributing to both backend and frontend.
• Design and implement new scalable features and APIs.
• Collaborate with Product Managers and designers to plan and design features.
• Implement agentic interfaces for onboarding and trial experiences.
• Work with Elastic solution teams to integrate cloud and Kibana onboarding flows seamlessly.
• Design and implement data evolution strategies to manage schema changes without introducing breaking changes.

Requirements

• Strong proficiency in React and JavaScript/TypeScript.
• Strong proficiency in Node.js server frameworks like Hapi and Next.js.
• Experience with front-end technologies like HTML5, CSS3, and responsive design.
• Knowledge of RESTful APIs and async programming.
• Familiarity with state management libraries like NgRx.
• Experience with Git and other code collaboration tools.
• Ability to deploy and operationalize software in production.
• Strong problem-solving skills and attention to detail.
• Knowledge of NoSQL databases, such as DynamoDB and Elasticsearch.
• Excellent communication and teamwork skills.

Nice to Have

• Knowledge of React.
• Knowledge of Java.
• Experience with Elasticsearch and Kibana.
• Experience with Kubernetes.

Benefits

• Competitive pay based on performance.
• Health coverage for you and your family.
• Flexible locations and schedules.
• Generous number of vacation days.
• Matching up to $2000 for financial donations and service.
• Up to 40 hours per year for volunteer projects.
• Minimum of 16 weeks of parental leave.

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You will lead architecture and performance work across Dynamo and open source frameworks, collaborating with research, software, systems, and hardware teams to make AI inference faster, more efficient, and easier to deploy.

Responsibilities:

• Design, build, and maintain Dynamo integrations for open source frameworks vLLM, SGLang, TRTLLM.
• Partner with open source communities to achieve measurable gains in latency, throughput, reliability, and efficiency.
• Showcase NVIDIA's token/watt leadership by pushing the pareto frontier on public/private benchmarks.
• Identify and remove bottlenecks across runtimes, kernels, networking, routing, and orchestration.
• Develop inference optimizations for scheduling, disaggregation, KV caching, and autoscaling.

Requirements:

• BS, MS, PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience).
• 3+ years of experience building, profiling, and debugging performance-critical distributed or ML systems.
• Strong programming skills in Python and/or Rust, C++.
• Understanding of modern ML architectures and inference techniques.

Preferred Qualifications:

• High agency and a track record of leading ambiguous work end-to-end.
• Experience with AI Accelerators.
• Open-source contributions/leadership.
• Research in ML inference or distributed systems.

NVIDIA offers equity and benefits, and applications will be accepted until August 9, 2026.

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Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer.

With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

Overview

We are seeking a Estimating Lead to join the Estimating Services Division of the Project Management Office Department (PMOD) within the Engineering Services Organization.

Estimating Services are responsible for supporting the development and preparation of accurate, reliable, and consistent cost estimates for capital projects, collaborating with cross-functional teams to ensure alignment with project scope, schedule, and contractual requirements, following internal guidelines and other relevant standards.

The Estimating Lead will prepare estimates of probable costs of materials, labor and equipment, and subcontracts for construction projects based on contract bids, quotations, drawings and specifications. Review and spot check material take-off against IFB drawings, review project specification, execution strategy and site condition. Calculate construction cost based on total direct and in-direct man-hours and all-in rate. Material cost based on vendor quotations and bench mark against internal and external data.

Key Responsibilities

As the successful candidate, you will be required to perform the following:

• Prepare, review, and validate cost estimates at various project stages,conceptual, preliminary, and detailed design,ensuring compliance with company guidelines.
• Use historical data, vendor quotations, and engineering inputs to develop estimates with defined accuracy levels (e.g., Class 4 to class 1 estimates).
• Collaborate with engineering and project teams to understand and interpret project scope and deliverables.
• Identify specialty items (e.g., licensed equipment, DCS systems, exotic materials) and ensure they are appropriately included in the estimate.
• Liaise with execution agency to secure quotations for equipment and bulk materials, adhering to minimum quotation requirements based on project value.
• Validate in-house pricing data or adjust based on current market conditions.
• Ensure the Estimate Package includes all required documentation such as scoping documents, conceptual drawings, MTOs, vendor quotations, and risk registers.
• Participate in reviews and approvals at various stages (e.g., Gate 1, Gate 2, etc.).
• Identify cost risks and propose appropriate contingency levels based on project complexity and scope definition.
• Ensure all estimates adhere to Saudi Aramco Work Breakdown Structure (WBS) and other internal standards.
• Generate cost reports to track budget performance and forecast final execution costs.

Minimum Requirements

As the successful candidate, you will have:

• A Bachelor degree in Engineering (preferably Mechanical, Chemical, or Electrical).
• A minimum of 10 years experience in cost estimating within the oil & gas, energy, or industrial sector.
• Proven experience in preparing conceptual, preliminary, and detailed design estimates.
• Strong understanding of international estimating guidelines such as AACE International (Association for the Advancement of Cost Engineering)
• Proficient in estimating tools and methodologies including unit rates, parametric estimating, and bottom-up estimating.
• Excellent analytical and problem-solving skills.

Work Location and Work Schedule

Work Location: Within Saudi Arabia – To be specified in Job offer

Work Schedule: Full Time - To be specified in Job offer

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We are looking for a Senior Director of Engineering to lead the Integrations, Workflows / Orchestration and Data Management groups within our Platform Engineering organization. This is a high-impact, high-visibility leadership role responsible for the connectors, integrations and outgoing data orchestration to push ZoomInfo’s data product to customer systems.

Strategic Leadership & Team Development

• Lead and develop three experienced Managers and their teams (~40 engineers and contractors) spanning Integrations, Workflows and Orchestration, and Data Management.
• Set the multi-quarter roadmap across all three pillars, balancing new connector and workflow capacity, platform reliability, data quality, and compliance priorities.
• Build a high-performance engineering culture grounded in ownership, accountability, and operational excellence across distributed, event-driven systems.

Integrations

• Work with the Product team and own the strategy and roadmap for ZoomInfo's library of native integrations and APIs connecting the platform to CRM, marketing automation, sales engagement, data warehouse, and BI systems.
• Guide the architecture of scalable, fault-tolerant backend services and event-driven integration patterns built on Kafka and similar streaming technologies.

Workflows and Orchestration

• Own the strategic direction for ZoomInfo's workflow orchestration engine , powering lead-to-account matching and multi-step, cross-system business processes triggered by buying signals and business logic.
• Guide architecture decisions for orchestration platforms that ensure reliable job execution, retries, state management, and long-running process durability at scale.

Data Management

• Own the strategy for ZoomInfo's data quality and data management capabilities , deduplication, standardization, enrichment, and continuous verification that keep customer CRM and GTM records accurate and current.
• Guide the architecture of matching-and-merging logic, multi-vendor enrichment waterfalls, and real-time change detection that prevent data decay across customer systems.

Cross-Functional Partnership & Enablement

• Partner with cross-functional stakeholders to define requirements for new connectors, workflow use cases, and data quality SLAs that inform the product roadmap.
• Drive enablement programs , documentation, training, and onboarding , that help internal teams and customers adopt new integrations and orchestration capabilities.

Requirements

• 10+ years of progressive experience in software/platform engineering, integrations, or data engineering leadership roles, with at least 4 years at the Director level or above.
• Experience leading and scaling engineering organizations of 25+ people through managers, with a track record of building high-performing teams and developing talent.
• Strong working knowledge of backend and distributed systems technologies including Java (Spring Boot), Node.js (NestJS), Kafka, and workflow orchestration platforms.

Preferred Qualifications

• Familiarity with event streaming and orchestration at scale (Kafka, Temporal, Airflow, Google Cloud Workflows).
• Exposure to no-code/low-code workflow builders and business-user-facing automation tools.

What Sets You Apart

• You lead through people. Your strongest technical asset is your ability to hire, develop, and empower exceptional leaders , and then get out of their way.
• You connect technology to business outcomes. You see infrastructure investments not as technical projects but as enablers of speed, trust, and better decisions across the company.

How We Work

• Be Relentless. We outpace and outcompete. We are smart, clever, and resourceful in everything we do.
• Be Entrepreneurs. We hustle, move fast, take ownership, and make decisions. We are accountable and resilient.

Benefits

• Comprehensive benefits
• Holistic mind, body and lifestyle programs designed for overall well-being

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As a Principal Applied Scientist on the Microsoft Ads Fraud Detection team, you will lead the most complex and ambiguous fraud challenges: designing new anomaly detection approaches to surface emerging attacks early, building robust cross-signal correlation frameworks to define and expand fraud perimeters, and developing next-generation ML models and low-latency pipelines that stop attacks before they scale.

Your work will directly influence platform capabilities, and you will provide technical leadership across the organization by mentoring other scientists, guiding project direction, and raising the bar on scientific rigor and execution quality.

Responsibilities

• Independently lead and execute multiple high-impact fraud detection initiatives, turning ambiguous problems into measurable business outcomes.
• Develop practical, deployable machine learning (ML) solutions that operate reliably at production scale, balancing detection effectiveness, latency, resilience, operational complexity, and cost.
• Translate scientific insights into production impact through rigorous experimentation, validation, rollout, monitoring, and continuous optimization under real-world operating constraints.
• Apply advanced ML methods,including anomaly detection, cross-signal analysis, large language models (LLMs), and other modern AI techniques,with clear evaluation frameworks, robust tests, and success metrics to deliver reliable, scalable, production-ready solutions.
• Drive technical collaboration across science, engineering, ads, security, and privacy teams to operationalize research and deliver end-to-end fraud detection capabilities.
• Raise the technical bar through mentorship, scientific rigor, responsible AI practices, and high standards for quality, reliability, and governance.

Qualifications

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
• 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Preferred Qualifications

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 5+ years experience conducting research as part of a research program (in academic or industry settings).
• 3+ years experience developing and deploying live production systems, as part of a product team.
• 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

The typical base pay range for this role across the U.S. is USD $142,800 – $274,800 per year.

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We are looking for a Senior Software Engineer to drive the design, development, and ship strategic investments that enable secure enterprise browsing for commercial customers.

You will help define the future of enterprise Browser/Copilot management and AI-powered productivity experiences used by customers around the world. This role offers opportunities to drive architecture, influence product direction, mentor engineers, and deliver solutions at Microsoft scale while working closely with teams across Edge, Microsoft 365, Azure, and Microsoft AI Experiences.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Drive technical architecture and implementation of browser-based security solutions for managed environments Security, Identity, and Management Integrations.
• Partner with Microsoft Security and Compliance teams to build integrated security experiences across the Microsoft ecosystem.
• Contribute to the long-term technical strategy and roadmap for enterprise security capabilities in Microsoft Edge.
• Lead implementation of cross-organizational engineering initiatives that span multiple Microsoft products and services.
• Mentor engineers through technical guidance, design reviews, and engineering best practices.
• Leverage telemetry, customer feedback, and operational insights to continuously improve product quality and customer satisfaction.
• Contribute to a culture of technical excellence, innovation, inclusion, and continuous learning.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C++, JavaScript, C, C#, or Python
• OR equivalent experience.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• Cross-platform development experience.
• Experience contributing to a large-scale software engineering project.
• Design, coding, and debugging skills in modern programming languages.

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 – $261,000 per year.

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You will work at the intersection of large-scale distributed training, reinforcement learning for LLMs/VLMs, model efficiency, multimodal AI, and open-source AI infrastructure.

This role spans the entire GenAI lifecycle from large-scale data preparation to training, post-training, inference optimization, and framework development.

You will collaborate with research, product, and infrastructure teams to design new algorithms, optimize existing systems, and contribute to NVIDIA's open-source AI stack, including Megatron-LM, Megatron Bridge, and NeMo-RL.

Responsibilities

• Design scalable systems for preparing high-quality multimodal datasets for frontier foundation model training.
• Develop algorithms and systems that improve the scalability, efficiency, and cost of large-scale pre-training and post-training.
• Advance techniques that improve inference performance, reduce deployment cost, and enable efficient serving across cloud and edge platforms.
• Develop reusable infrastructure and contribute brand new model support to NVIDIA's open-source GenAI training platform.

Requirements

• MS or Ph.D in Computer Science, AI, Applied Mathematics, or a related field (or equivalent experience).
• 5+ years of relevant industry experience.
• Strong foundation in machine learning, deep learning, and optimization.
• Excellent software engineering skills, including Python and PyTorch.
• Experience building high-performance software for large-scale AI systems.
• Strong analytical, debugging, and performance optimization skills.
• Excellent communication and collaboration skills.

Nice to Have

• Experience in some of the following areas is highly desirable:

+ Large-Scale Training: Distributed training at scale, including Megatron-LM, Megatron Bridge, FSDP, TP/PP/CP/DP, heterogeneous or per-module parallelism, optimizer research, and efficient sparse or long-context attention. + LLM/VLM Post-Training: Supervised fine-tuning (SFT), reinforcement learning for LLMs (e.g., PPO, GRPO, asynchronous RL), and large-scale RL frameworks such as NeMo-RL. + Inference Efficiency: Model compression techniques including quantization (FP8, NVFP4, INT4), pruning, knowledge distillation, neural architecture search, and diffusion or non-autoregressive language models. + Open-Source AI Infrastructure: Contributing to open-source AI frameworks such as Megatron-LM, Megatron Bridge, NeMo-RL, or Hugging Face Transformers along with experience in GPU performance optimization, distributed systems, latency/throughput analysis, and profiling of large-scale AI workloads.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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The problems you'll tackle span browser performance, diagnostics, AI-powered developer experiences, engineering productivity, telemetry, experimentation, and automation. No two projects are the same, but all are focused on improving Microsoft Edge and how it is built. You will build systems that help engineers understand software behaviour, identify issues earlier, make better decisions, and move faster with confidence.

You will work on some of the hardest engineering problems in Edge. One project might focus on building an AI-assisted diagnostic experience that helps engineers understand a performance regression in minutes instead of days. Another might focus on improving how quality and performance are measured across thousands of code changes and experiments. In other cases, the right solution may be a targeted improvement directly in the Edge or Chromium codebase that delivers measurable benefit to customers.

We believe AI is transforming how software is designed, developed, tested, and maintained. Successful candidates will embrace AI as both a tool and a platform, using it to improve engineering outcomes while helping shape the next generation of tools and experiences that make developers more effective.

Success in this role is measured by your ability to improve Microsoft Edge. Whether it is helping teams catch issues earlier, making engineering decisions more data-driven, accelerating development through AI and automation, or delivering improvements that customers can directly see and feel, your work will help raise the quality, performance, and reliability of Edge.

Responsibilities

• Design, implement, and maintain software that improves the quality, performance, reliability, and engineering effectiveness of Microsoft Edge, whether through product improvements, diagnostics, automation, measurement systems, or developer tooling.
• Own significant engineering investments from design through deployment, including implementation, validation, monitoring, and long-term maintenance.
• Build diagnostics, telemetry, automation, experimentation, and evaluation systems that help engineers better understand software behaviour and make data-driven decisions.
• Develop and apply AI-powered solutions that improve engineering workflows, accelerate investigations, reduce manual effort, and help teams move faster with confidence.
• Build tools and experiences that help engineers detect issues earlier, diagnose problems faster, and improve the efficiency of software development across Edge.
• Analyse telemetry, traces, experiments, and other signals to identify opportunities to improve both engineering systems and customer experiences.
• Partner across teams to improve how quality, reliability, performance, and engineering productivity are measured, evaluated, and improved.
• Contribute to technical investigations and, when appropriate, develop product fixes that improve customer-facing quality and performance.
• Modernise existing systems and workflows to improve scalability, maintainability, reliability, and developer productivity.
• Participate in technical design discussions, code reviews, and mentoring while helping raise the technical bar across the team.

Qualifications Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C#, Python, C++, or Powershell
• OR equivalent experience.

Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialised security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C#, Python, C++, or Powershell
• OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C#, Python, C++, or Powershell
• OR equivalent experience.
• Experience designing and shipping high-quality software at scale.
• Experience with browser technologies, performance engineering, diagnostics, developer productivity, distributed systems, operating systems, or large-scale engineering infrastructure.
• Experience using telemetry, experimentation, profiling, tracing, or performance analysis to drive engineering decisions.
• Experience building tools, automation, measurement systems, CI/CD infrastructure, diagnostics platforms, or engineering productivity solutions.
• Demonstrated experience using AI-assisted engineering tools to improve software design, implementation, testing, debugging, diagnostics, and developer productivity.
• Experience building AI-powered workflows, developer experiences, copilots, agents, evaluation systems, or other AI-enabled solutions.
• Demonstrated ability to independently drive technical work from ambiguous problem statements through implementation and delivery.
• Solid collaboration and communication skills with the ability to work effectively across multiple engineering teams.

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 – $261,000 per year.

XML job scraping automation by YubHub

We design and operate the platform powering Microsoft 365 Copilot experiences, delivering intelligent capabilities to millions of users.

Our team owns one of the world’s largest AI inference platforms, operating at massive GPU scale across global datacenters.

We build the core LLM API and routing services that enable low-latency, highly available AI experiences, and continuously push the boundaries of performance, scalability, and efficiency.

We are hiring a Principal Software Engineering Manager to lead a strategic initiative focused on maximizing throughput per GPU across the Copilot inference stack.

This role is to drive inference engine efficiency by optimizing model execution and runtime performance, improving throughput per GPU, reducing cost per query, and unlocking capacity without additional hardware investment.

Responsibilities

• Build and lead a high-performing engineering team focused on inference runtime efficiency and model execution performance.
• Define and drive strategy to improve throughput per GPU through runtime optimizations.
• Increase engineering agility, enabling faster experimentation, iteration, and rollout of performance improvements.
• Partner across M365 Core, AI Core, Azure, and Microsoft Research to co-design and productionize advanced inference optimizations.
• Establish metrics, telemetry, and experimentation frameworks to measure efficiency gains and guide investment decisions.
• Own live-site performance, reliability, and operational excellence for inference engines at scale.
• Drive alignment across partner teams on engine interfaces, performance goals, and optimization priorities.

Qualifications

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

+ Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 6+ years people management experience.
• Experience leading engineering teams building backend or distributed systems.
• Hands-on experience improving system throughput, performance, and resource utilization across large-scale infrastructure.
• Systems thinking, with the ability to identify and optimize bottlenecks across execution, scaling, and resource management.
• Experience driving system-level improvements in areas such as workload execution, scheduling, batching, or infrastructure efficiency.
• Able to translate technical insights into clear engineering priorities and execution plans.
• Comfortable collaborating across teams to align on goals and execution.
• Experience with developing AI/ML inference systems or GPU-based workloads.
• Familiarity with inference or training runtime optimization techniques.
• Experience improving throughput per resource (e.g., cost per query) in large-scale systems.

Salary Information

The typical base pay range for this role across the U.S. is USD $165,600 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.

XML job scraping automation by YubHub

As the complexity and scale of artificial intelligence continue to grow, the intersection of advanced deep learning architectures, massive-scale distributed computing, and low-level hardware optimization has never been more critical.

Our team is dedicated to exploring and prototyping next-generation ideas that bridge the gap between deep learning algorithms and CUDA, pushing the boundaries of what is possible on modern accelerator architectures.

Join our dynamic, research-oriented team to help unlock maximum hardware performance for emerging AI workloads.

You will be a crucial member of a highly technical group exploring uncharted territories in model optimization, custom kernel development, and cluster-scale AI systems design.

If you are passionate about the fundamentals of deep learning and thrive on squeezing every ounce of performance out of advanced computing systems from a single GPU to supercomputer clusters, we want you on our team!

Responsibilities

• Explore, research, and prototype novel systems optimizations for advanced deep learning models at the intersection of high-level DL frameworks and low-level CUDA through modeling, simulation, and silicon prototyping.
• Architect and optimize distributed computing systems that scale seamlessly from a single node to massive, cluster-scale supercomputing environments.
• Design, implement, and optimize custom high-performance CUDA kernels tailored to emerging neural network architectures and workloads.
• Analyze complex hardware-software interactions to identify and resolve performance bottlenecks in both training and inference pipelines.
• Collaborate closely with AI researchers, HW and SW architects, kernel and compiler authors and CUDA driver experts to co-design systems and algorithms that improve accelerator compute utilization, memory bandwidth, cross-node network communication efficiency and programmability.
• Develop exploratory tools and runtime systems to profile and accelerate new paradigms in deep learning.
• Write clean, effective, and maintainable code, ensuring exploratory prototypes can smoothly transition into open-source releases, upstream framework integrations, internal tools, or closed-source commercial products.

Requirements

• BS, MS, or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
• 2+ years of relevant industry experience or equivalent academic experience after degree achievement.
• Strong proficiency in C++ and Python programming.
• Solid background in the fundamentals of Deep Learning with a focus on transformers.
• Strong understanding of distributed computing principles, multi-node scaling, and the unique performance challenges of cluster-scale execution.
• Proven experience in systems programming, computer architecture, and low-level systems performance optimization.
• Familiarity with deep learning accelerator architectures such as the GPU and hands-on experience with CUDA programming, kernel optimization, and workload profiling.
• Experience profiling and optimizing generative AI models, including but not limited to, pioneering large language models.
• Research background in machine learning systems or adjacent fields and experience profiling and optimizing innovative vision models, generative AI architectures, or diffusion models.
• A track-record of initiative and willingness to deep-dive on problems across the stack.

Nice to Have

• Deep expertise in performance internals and execution graphs of major deep learning training and inference frameworks (e.g., PyTorch, JAX, TensorRT, vLLM, sgLang, Nemo, Megatron).
• Hands-on experience with communication libraries (e.g., NCCL, MPI, UCX) and distributed machine learning techniques (e.g., pipeline, tensor, expert parallelism).
• Knowledge of numerical methods and low-precision arithmetic (e.g., NVFP4, MXFP4, FP8, INT8) and their impact on deep learning accuracy and performance.
• Background in deep learning compilers and ML systems, including graph-level and codegen tools (e.g., Triton, XLA, torch.compile) and highly parallel/RL-style simulation environments.
• Experience designing and implementing agentic AI systems applied to complex systems and infrastructure problems.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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In this role, you will uncover novel attack vectors, develop proof-of-concept mitigations, and partner directly with Windows product engineering teams to design durable & scalable defence.

Responsibilities:

• Build reusable agents and tools to expedite and improve the consistency and quality of security reviews
• Be the security contact for teams building new innovative products and technologies in the next version of Windows and devices
• Identify security vulnerabilities in a wide variety of key OS features such as network protocols, security features, and Microsoft devices
• Leverage a broad and current understanding of security to devise new protections
• Interact with the external security community and security researchers
• Collaborate with product teams to improve security, and articulate the business value of security investments

Qualifications:

• Master's Degree in Statistics, Mathematics, Computer Science, or related field AND 3+ years experience in security or related field
• OR Bachelor's Degree in Statistics, Mathematics, Computer Science, or related field AND 4+ years experience in security or related field
• OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements.

Preferred Qualifications:

• Master's Degree in Statistics, Mathematics, Computer Science, or related field AND 4+ years experience in security or related field
• OR Bachelor's Degree in Statistics, Mathematics, Computer Science, or related field AND 6+ years experience in security or related field
• OR equivalent experience.
• 2+ years identifying vulnerabilities in operating systems and/or native (C/C++) applications.
• 5+ years of experience in a software engineering or security-related engineering.
• Demonstrated experience in security research, especially around vulnerability discovery.
• Experience exploiting bugs and bypassing security mitigations in operating systems.
• Familiarity with Microsoft Windows architecture.

XML job scraping automation by YubHub

As the complexity and scale of artificial intelligence continue to grow, the intersection of advanced deep learning architectures, massive-scale distributed computing, and low-level hardware optimization has never been more critical.

Our team is dedicated to exploring and prototyping next-generation ideas that bridge the gap between deep learning algorithms and CUDA, pushing the boundaries of what is possible on modern accelerator architectures.

Join our dynamic, research-oriented team to help unlock maximum hardware performance for emerging AI workloads.

You will be a crucial member of a highly technical group exploring uncharted territories in model optimization, custom kernel development, and cluster-scale AI systems design.

If you are passionate about the fundamentals of deep learning and thrive on squeezing every ounce of performance out of advanced computing systems from a single GPU to supercomputer clusters, we want you on our team!

Responsibilities

• Explore, research, and prototype novel systems optimizations for advanced deep learning models at the intersection of high-level DL frameworks and low-level CUDA through modeling, simulation, and silicon prototyping.
• Architect and optimize distributed computing systems that scale seamlessly from a single node to massive, cluster-scale supercomputing environments.
• Design, implement, and optimize custom high-performance CUDA kernels tailored to emerging neural network architectures and workloads.
• Analyze complex hardware-software interactions to identify and resolve performance bottlenecks in both training and inference pipelines.
• Collaborate closely with AI researchers, HW and SW architects, kernel and compiler authors and CUDA driver experts to co-design systems and algorithms that improve accelerator compute utilization, memory bandwidth, cross-node network communication efficiency and programmability.
• Develop exploratory tools and runtime systems to profile and accelerate new paradigms in deep learning.
• Write clean, effective, and maintainable code, ensuring exploratory prototypes can smoothly transition into open-source releases, upstream framework integrations, internal tools, or closed-source commercial products.

Requirements

• BS, MS, or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
• 8+ years of relevant industry experience or equivalent academic experience after degree achievement.
• Strong proficiency in C++ and Python programming.
• Solid background in the fundamentals of Deep Learning with a focus on transformers.
• Strong understanding of distributed computing principles, multi-node scaling, and the unique performance challenges of cluster-scale execution.
• Proven experience in systems programming, computer architecture, and low-level systems performance optimization.
• Familiarity with deep learning accelerator architectures such as the GPU and hands-on experience with CUDA programming, kernel optimization, and workload profiling
• Experience profiling and optimizing generative AI models, including but not limited to, pioneering large language models.
• Research background in machine learning systems or adjacent fields and experience profiling and optimizing innovative vision models, generative AI architectures, or diffusion models.
• A track-record of initiative and willingness to deep-dive on problems across the stack.

Nice to Have

• Deep expertise in performance internals and execution graphs of major deep learning training and inference frameworks (e.g., PyTorch, JAX, TensorRT, vLLM, sgLang, Nemo, Megatron).
• Hands-on experience with communication libraries (e.g., NCCL, MPI, UCX) and distributed machine learning techniques (e.g., pipeline, tensor, expert parallelism).
• Knowledge of numerical methods and low-precision arithmetic (e.g., NVFP4, MXFP4, FP8, INT8) and their impact on deep learning accuracy and performance.
• Background in deep learning compilers and ML systems, including graph-level and codegen tools (e.g., Triton, XLA, torch.compile) and highly parallel/RL-style simulation environments.
• Experience designing and implementing agentic AI systems applied to complex systems and infrastructure problems.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

XML job scraping automation by YubHub

We design and operate the platform powering Microsoft 365 Copilot experiences, delivering intelligent capabilities to millions of users.

Our team owns one of the world’s largest AI inference platforms, operating at massive GPU scale across global datacenters.

We build the core LLM API and routing services that enable low-latency, highly available AI experiences, and continuously push the boundaries of performance, scalability, and efficiency.

We are hiring a Principal Software Engineering Manager to lead a strategic initiative focused on maximizing throughput per GPU across the Copilot inference stack.

This role is to drive inference engine efficiency by optimizing model execution and runtime performance, improving throughput per GPU, reducing cost per query, and unlocking capacity without additional hardware investment.

Responsibilities

• Build and lead a high-performing engineering team focused on inference runtime efficiency and model execution performance.
• Define and drive strategy to improve throughput per GPU through runtime optimizations.
• Increase engineering agility, enabling faster experimentation, iteration, and rollout of performance improvements.
• Partner across M365 Core, AI Core, Azure, and Microsoft Research to co-design and productionize advanced inference optimizations.
• Establish metrics, telemetry, and experimentation frameworks to measure efficiency gains and guide investment decisions.
• Own live-site performance, reliability, and operational excellence for inference engines at scale.
• Drive alignment across partner teams on engine interfaces, performance goals, and optimization priorities.

Qualifications

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 6+ years people management experience.
• Experience leading engineering teams building backend or distributed systems.
• Hands-on experience improving system throughput, performance, and resource utilization across large-scale infrastructure.
• Systems thinking, with the ability to identify and optimize bottlenecks across execution, scaling, and resource management.
• Experience driving system-level improvements in areas such as workload execution, scheduling, batching, or infrastructure efficiency.
• Able to translate technical insights into clear engineering priorities and execution plans.
• Comfortable collaborating across teams to align on goals and execution.
• Experience with developing AI/ML inference systems or GPU-based workloads.
• Familiarity with inference or training runtime optimization techniques.
• Experience improving throughput per resource (e.g., cost per query) in large-scale systems.

Salary Information

The typical base pay range for this role across the U.S. is USD $165,600 – $296,400 per year.

There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.

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As a key member of this team, you'll work with a diverse group of talented professionals, leveraging the latest technologies and best practices to streamline update processes. You'll design and implement new features, improve the quality and reliability of the update stack client code, and collaborate with other teams to enable efficient and seamless updates.

Responsibilities:

• Design and implement new features to support customer requirements and improve the update stack client code.
• Collaborate with other teams to design and build features that enable efficient and seamless updates.
• Address security vulnerabilities and build resilient architecture for components.
• Monitor monthly retail releases to Windows and diagnose/mitigate/resolve issues expeditiously.
• Mentor developers and interns.
• Work closely with other software engineers and architects on the team and partner teams.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including C, C++, C#.
• OR equivalent experience.

Preferred Qualifications:

• Experience with technical abilities around design, coding, rapid prototyping, debugging, and problem-solving.
• Recent exposure and implementation of products and services leveraging the latest generative AI models and agents.
• Previous experience with verbal, written, and cross-group collaboration and communication.
• Operating System fundamentals background, deployment technology.
• Experience in coding, debugging, and problem-solving skills.
• Demonstrated focus for meeting customer needs.
• Contributing to team culture.
• Track record of learning and growing.

The typical base pay range for this role across Ireland is €77,400.00 – €130,000.00 per year.

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As a Principal Applied Science Manager, you will lead and grow a team of Applied Scientists and Machine Learning Engineers, defining the technical vision and strategy for end-to-end recommendation systems.

Responsibilities:

• Lead and grow a team of Applied Scientists and Machine Learning Engineers
• Define technical vision and strategy for recommendation systems
• Build and implement next-generation recommendation systems with deep learning, LLMs, agents, and advanced recommendation techniques
• Drive end-to-end execution across multiple initiatives
• Oversee system architecture and scalability
• Partner cross-functionally with product, engineering, platform, and leadership teams
• Mentor and elevate the team, fostering a culture of scientific rigor, innovation, and continuous learning

Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
• 1+ year(s) of people management experience

Preferred Qualifications:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
• 2+ years of people management experience
• Expertise in recommendation systems, ranking models, search relevance, personalization, LLM and/or agents
• Proficiency in modern ML frameworks, data processing systems, and cloud-scale infrastructure

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This role lets you impact hardware architecture, guide kernel development, and work with diverse experts to implement NVIDIA's next-generation CPU and SoC architectures effectively.

Responsibilities:

• Own and drive the Linux kernel strategy for NVIDIA CPU platforms with an upstream-first development model.
• Lead the upstream enablement of NVIDIA CPU platforms across major Linux kernel subsystems while minimizing downstream maintenance.
• Track Linux kernel evolution and drive technical roadmaps across core subsystems including memory management, scheduling, virtualization, PCIe, ACPI, RAS, CXL, networking, filesystems, and security.
• Partner with CPU architects, hardware designers, firmware teams, and software engineers to influence hardware architecture and interfaces for clean, upstream-friendly Linux support.
• Represent NVIDIA in the Linux open-source community by collaborating with subsystem maintainers, driving upstream reviews, and advocating for NVIDIA technologies.
• Lead the architecture and implementation of Linux kernel support for next-generation CPU and SoC features, identifying opportunities to simplify software through hardware and firmware design improvements.
• Establish best practices for upstream development, code quality, kernel review processes, and long-term maintainability while mentoring engineers across the organization.
• Collaborate with Linux distributions, ecosystem partners, and internal engineering teams to enable NVIDIA CPU platforms and shape future Linux kernel capabilities.

Requirements:

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Computer Engineering, or equivalent experience.
• 14+ years of experience developing Linux kernel software.
• Deep expertise in Linux kernel internals and multiple kernel subsystems.
• Recognized contributor with an established reputation in the Linux kernel community, including experience reviewing and influencing upstream kernel development.
• Strong understanding of CPU architecture, memory management, interrupts, scheduling, synchronization, virtualization, ACPI, PCIe, and device drivers.
• Experience leading complex cross-functional software initiatives.
• Excellent communication skills and the ability to influence technical direction across engineering organizations.

Benefits:

• Highly competitive salaries
• Comprehensive benefits package
• Equity eligibility
• See www.nvidiabenefits.com/ for more information

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You will be part of a dynamic team that values creativity and collaboration. If you are enthusiastic about technology and eager to build a significant difference, this is the place for you!

Responsibilities:

• Collaborate with a team of extraordinary engineers and researchers to develop and implement innovative solutions.
• Partner with diverse teams to ensure smooth integration and deployment of network solutions.
• Continuously explore new technologies and methodologies to improve our network capabilities.

Requirements:

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
• 2+ years of experience in computer science, network engineering or related fields.
• Excellent problem-solving skills.
• Outstanding collaboration and communication skills.

Preferred Qualifications:

• Hands-on experience developing CUDA applications
• Extensive knowledge of network protocols
• Proficient knowledge of extensive network simulations and AI datacenter ecosystems.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family at www.nvidiabenefits.com/

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You will join the IC3 Security Engineering team, which focuses on building cloud-scale security. The M365 Intelligent Conversation and Communications Cloud platform supports billions of customer conversations across Teams, Skype, Dynamics, and third-party solutions. Your role involves designing and building an AI-driven platform for centralized security automation and risk remediation.

Responsibilities

• Collaborate with stakeholders to identify user requirements and develop design documents.
• Create, implement, optimize, debug, refactor, and reuse code to enhance performance and maintainability.
• Leverage expertise in product features and partner with stakeholders to drive project plans and work items.
• Act as a Designated Responsible Individual (DRI), guiding other engineers and ensuring system reliability.
• Proactively seek new knowledge and adapt to trends and technical solutions that improve product availability and performance.

Qualifications

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field.
• 4+ years of technical engineering experience with coding in languages such as C#, Python, Go, or Java.

Other Requirements:

• Ability to meet Microsoft security screening requirements.

Preferred Qualifications:

• Experience building distributed systems or cloud services.
• Familiarity with service-oriented architecture, microservices, or large-scale cloud systems.
• Understanding of secure coding practices and service security fundamentals.
• Experience with AI/ML or automation frameworks.
• Solid problem-solving and system design skills.
• Familiarity with DevSecOps practices and CI/CD pipelines.

Salary Information

The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. For specific locations like the San Francisco Bay area and New York City metropolitan area, the range is USD $160,200 – $261,000 per year.

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As a Senior Product Manager for AI Platform Inference at NVIDIA, you will be responsible for building the tools, SDKs, and libraries which enable developers' Inference deployments to thrive on NVIDIA GPUs.

Your goal will be to enable developers to be successful on the NVIDIA Platform, and push the boundaries of what is possible with their AI deployments. You will work directly with developers inside and outside of the company to identify key improvements, create roadmaps, and stay alert on the inference landscape.

Responsibilities:

• Create products to help developers build better Inference deployments
• Develop product strategy, roadmaps, and go-to-market plans
• Collaborate with internal and external developers to build product-based roadmaps for model optimization software
• Work with leadership to align with and drive company strategy

Requirements:

• Experience with Inference deployment and optimization software (e.g., vLLM, SGLang, FlashInfer, TensorRT-LLM, Triton, Dynamo, TorchAO)
• Demonstrable knowledge of GenAI or machine learning concepts, particularly around performance optimization, and software development and delivery
• BS or MS degree in Computer Science, Computer Engineering, or similar experience
• 6+ years of technical product management experience at a technology company
• Strong communication and interpersonal skills

Preferred Qualifications:

• Experience leading optimization products for Inference
• Working on Open Source & Github-first developer products with deep customer interactions
• Knowledge of GPU architecture, HW/SW co-design, and performance profiling

You will also be eligible for equity and benefits.

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