Analyzing and evaluating hardware architectures Supporting tests of electronic prototypes Developing circuit diagrams and layouts for microcontrollers, power supplies, output stages, and CAN/Ethernet interfaces Using AI-based tools to automate review processes Programming microcontrollers

You will have the opportunity to gain practical experience in modern development processes for vehicle control systems and electronics. You will be part of a team that works on high-innovative projects in the areas of e-mobility, ADAS/AD, and software development.

AVL offers a dynamic and innovative work environment with opportunities for professional growth and development. We offer a competitive salary and benefits package, as well as a wide range of training and development programs.

If you are interested in working in a fast-paced and dynamic environment, and are looking for a challenging and rewarding career opportunity, we encourage you to apply for this position.

Benefits:

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Dynamic and innovative work environment
• Wide range of training and development programs
• Mobile work options, flexible working hours, and modern working conditions

We are an equal opportunities employer and welcome applications from all qualified candidates.

Please note that this is a temporary position, and the duration of the contract will be discussed during the interview process.

Required skills:

• Bachelor's degree in electrical engineering, mechatronics, or a related field
• Good knowledge of control electronics and related components
• Analytical thinking and problem-solving skills
• Excellent communication and teamwork skills
• Proficiency in programming languages such as C, C++, or Python
• Experience with AI-based tools and machine learning algorithms

Preferred skills:

• Experience with embedded systems and microcontrollers
• Knowledge of automotive electronics and systems
• Familiarity with simulation tools and modeling software
• Experience with version control systems such as Git
• Certification in areas such as automotive electronics, control systems, or software development

If you are interested in this position, please submit your application, including your resume, cover letter, and any relevant certificates or references. We look forward to hearing from you!

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During your training, you will participate in the conception and planning of new software projects, implement user requirements in functioning software, develop software for real-time operating systems and microcontroller-based programming, and test and debug program codes, especially in the embedded field.

As part of the team, you will develop your team spirit and communication skills. You will also get familiar with new technologies and trends in the IT industry.

The position is suitable for individuals with disabilities.

AVL offers a 3-year training period, with the possibility of shortening it. The company provides a team-oriented environment, open door policy, and flat hierarchies. You will receive individual support and integration into existing teams, a creative and open working environment, free drinks and fruit, a free Germany ticket for train travel, and 30 days paid holiday.

AVL is a leading mobility technology company that develops, simulates, and tests solutions for the automotive industry and other sectors. They deliver concepts, solutions, and methods in areas such as vehicle development and integration, e-mobility, driver assistance systems, and autonomous driving (ADAS/AD) and software for a greener, safer, and better world of mobility.

If you're interested in a job at AVL but unsure how to apply or what happens after submitting your application, please read our step-by-step guide.

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The tasks of the thesis include the analysis of safety-critical thermal runaway scenarios in lithium-ion batteries and the development of a methodology for AI-supported detection, tracking, and evaluation of particles in the venting process. For this purpose, suitable neural network architectures are identified for particle tracking in highly dynamic and optically challenging environments, and their performance is evaluated in comparison to established image-based methods such as PIV. Based on experimental high-speed recordings, relevant physical parameters are derived and their validity for characterising the thermal runaway event is assessed. The work typically includes the following focal points:

Literature review on particle tracking procedures, image-based flow analysis, and AI methods in the context of safety-critical battery scenarios (e.g., neural networks, deep learning for computer vision, tracking algorithms). Analysis of the physical and measurement-related boundary conditions at thermal runaway of lithium-ion batteries, particularly the gas particle emission and the associated thermal, mechanical, and abrasive stresses. Design, implementation, and training of a neural network for detection and tracking of particles in high-speed recordings of the venting process. Evaluation and validation of the developed approach using experimental data and comparison with classical PIV methods regarding accuracy, robustness, and validity. Derivation of characteristic parameters for qualitative and quantitative description of particle emission during thermal runaway. Documentation and scientific preparation of the results in the framework of a bachelor's or master's thesis with strong practical relevance.

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The successful candidate will be directly involved in a critical path for high-volume trading with a core focus on technical and economic performance. They will work closely with quantitative research to optimize the firm's overall execution performance.

Key responsibilities include:

• Building out the C++ low-latency framework for algorithmic trading
• Developing execution algorithms, order management systems, strategy containers, market data handlers, and trading interfaces
• Enhancing the platform's efficiency using network and systems programming
• Creating systems, interfaces, and tools for historical market data and trading simulations
• Assisting in building and maintaining automated tests, performance benchmark framework, and other tools

The ideal candidate will have 5+ years of professional experience in a front-office, financial services environment as a senior contributor, with a strong background in data structures, algorithms, and object-oriented programming in C++. They should be proficient with new features of C++17/C++20/C++23, multithreading, and asynchronous environments. A degree in computer science or a related field is required.

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.

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The successful candidate will conduct ongoing WMA compliance reviews, address compliance-related items for the launches of new WMA funds and separately managed accounts (“SMAs”), assist with regulatory examinations, inquiries, investigations and projects, as necessary.

Key responsibilities include monitoring global regulatory changes, updates and industry-wide compliance initiatives, assisting with drafting and amending compliance-related policies and procedures, creating and implementing additional WMA compliance reviews, reviewing marketing materials for WMA funds and SMAs, and preparing and conducting compliance trainings.

This role requires a strong analytical / conceptual problem-solving skills with attention to detail, a strong sense of ownership and personal responsibility, ability to prioritise, multi-task, and manage deadlines while successfully completing assignments, strong written and verbal communication skills, as well as the ability to coordinate efforts and projects across teams and departments.

The ideal candidate will have 14+ years of experience at a regulatory authority, bank/broker or buy-side firm, investment management compliance experience, inclusive of addressing regulatory items related to launching and ongoing compliance oversight of funds and SMAs, experience with addressing algorithmic/systematic trading matters is preferred, with an understanding of model-based trading and investment/execution algorithms.

A Bachelor’s degree in Computer Science, Finance, Economics or similar with a strong academic record is preferred, law degree is preferred, an understanding of global financial markets, including market structure, is preferred.

Good team player with a strong willingness to participate and help others.

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Our team is a specialized group of engineers operating at the intersection of technology and quantitative finance. We function as an internal centre of excellence, providing expert-level solutions, architecture, and hands-on development in AI, Cloud (AWS/GCP), DevOps, and high-performance computing.

As a forward deployed software engineer, you will be responsible for translating complex research requirements into robust, scalable, and secure technical architectures across on-prem, hybrid, and cloud environments. You will write high-quality, production-ready code across the full stack, including Python libraries, infrastructure-as-code (Terraform), CI/CD pipelines, automation scripts, and ML/AI proof-of-concepts.

You will also develop and maintain our suite of managed products, reusable patterns, and best practice guides to provide self-service options and accelerate onboarding for new and existing teams. Additionally, you will act as the primary technical point of contact for embedded engagements, owning projects from discovery and planning through to implementation, knowledge transfer, and support.

To succeed in this role, you will need to have a deep understanding of computer science principles, including data structures, algorithms, and system design. You will also need to have experience working with cloud providers, such as AWS or GCP, and be familiar with infrastructure-as-code concepts. Excellent verbal and written communication skills are also essential, as you will need to build strong relationships with stakeholders and articulate complex ideas to diverse audiences.

Innovative thinking and a passion for AI/ML and its practical applications are highly desirable. Experience designing systems and architectures from ambiguous business needs, as well as experience with scheduling or asynchronous workflow frameworks/services, is also preferred.

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We are looking for a C++ engineer to design and build high-performance, low-latency applications that process large volumes of real-time data.

Principal Responsibilities:

• Design, implement, and maintain high-performance C++ services handling high message rates and low-latency workloads.

• Optimise existing components for latency, throughput, and CPU/memory efficiency.

• Develop and tune networking, messaging, and I/O layers to handle large data volumes reliably.

• Profile and debug performance issues at application, OS, and network levels.

• Collaborate with quantitative, trading, and infrastructure teams to translate requirements into robust technical solutions.

• Write clean, production-quality code with appropriate tests and documentation.

• Participate in code reviews, design discussions, and continuous improvement of engineering practices.

Required Qualifications:

• Strong proficiency in modern C++ (C++17/20 or later).

• 5+ years of experience.

• Analytics Focus: KDB / Q Experience for large market data, modern data analysis with pytorch, pandas and modern tooling including Apache arrow.

• Familiar with basics statistics as applied to financial research.

• Proven experience building performance-critical, real-time, or low-latency systems.

• Strong knowledge of computer science fundamentals: data structures, algorithms, memory management, and optimisation.

• Experience using profiling, benchmarking, and performance analysis tools.

• Proficiency with version control (Git) and standard build systems.

• Excellent problem-solving skills and attention to detail.

• Strong interpersonal skills with a proven ability to navigate large organisations.

Preferred Qualifications:

• Experience with kernel bypass or user-space networking technologies.

• Familiarity with AI productivity enhancing coding tools.

• Experience in financial markets, market data distribution, order routing, or exchange connectivity.

• Experience with monitoring/telemetry for high-performance systems.

• Familiarity with scripting languages for tooling and automation.

• AI: Familiarity with AI productivity enhancing coding tools.

Personal Attributes:

• Obsessed with performance, measurement, and data-driven optimisation.

• Comfortable owning features end-to-end and operating in a production environment.

• Clear communicator who can work closely with both technical and non-technical stakeholders.

• Proactive, self-directed, and able to thrive in a highly iterative environment.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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Responsibilities: Assist with the initial vetting and ongoing review of portfolio management teams against our Algorithmic Trading Policy Monitor regulatory changes, updates and industry-wide compliance initiatives Conduct ongoing analyses to enhance our global Quantitative Trading Compliance program Assist with regulatory examinations, inquiries, investigations and projects Assist with drafting and amending compliance related policies and procedures Prepare and conduct compliance trainings

Qualifications: 3+ years of experience Experience at a regulatory authority, bank/broker or buy-side firm Experience with addressing algorithmic/systematic trading matters is preferred Bachelor’s degree in Computer Science, Finance, Economics or similar with a strong academic record is preferred An understanding of global financial markets, including market structure, is preferred General understanding of Artificial Intelligence, including current regulatory focus areas Strong analytical / conceptual problem-solving skills with attention to detail Strong sense of ownership and personal responsibility Ability to prioritize, multi-task, and manage deadlines while successfully completing assignments Strong written and verbal communication skills Ability to create presentation materials for senior management Proficient in Microsoft PowerPoint and Excel Good team player with a strong willingness to participate and help others

The estimated base salary range for this position is $70,000 to $160,000, which is specific to New York and may change in the future.

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Responsibilities:

• Collaborate with cross-functional teams to develop and implement real-time algorithmic trading systems and execution platforms.
• Design, build, and maintain high-quality software to meet product performance and quality expectations.
• Stay current on state-of-the-art technologies and tools, including technical libraries, computing environments, and academic research.
• Troubleshoot and resolve complex issues with our critical trading infrastructure.

Requirements:

• Strong server-side Java knowledge, including Spring Boot framework.
• Experience with financial order/execution data, positions data, and market data.
• Knowledge of equities, options, SOR, VWAP, algorithmic trading platforms, or market microstructure.
• High focus on testability of programs (TDD/XP-based development preferred).
• Experience with proprietary Java frameworks and design patterns.
• Good DevOps understanding to drive testing automation.

Preferred Qualifications:

• 5+ years of development experience in Algos or order management systems.
• Good understanding of Asia equities markets, including auctions, microstructure, and regulatory constraints.
• Experience with inventory optimization in developing markets in Asia (non-give up) highly desirable.
• Good team player with excellent written and oral communication skills.
• Quick thinker and problem solver, able to think on their feet and make informed decisions.

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Principal Responsibilities: The role holder will conduct customer strategy analysis focusing on acquisition, activation, retention, conversion, and LTV, and deliver actionable insights. Build and maintain customer segmentation frameworks to support targeted and personalized marketing and operations. Leverage advanced data analytics tools and methodologies to develop, validate, and optimize predictive models, contributing to generate high-quality leads. Analyze customer journey, conversion funnels, and drop-off points to identify bottlenecks and recommend experience improvements. Evaluate the performance of marketing campaigns, membership programs, loyalty initiatives, and promotional strategies by measuring ROI, conversion rate, and engagement metrics. Partner with product, marketing, operations, and customer teams to translate data insights into executable strategies and drive business decisions. Support the business team's campaign needs, including RM lead generation and manual SMS outreach. Develop and maintain customer-focused dashboards, KPIs, and reporting systems.

To be successful in the role, you should meet the following requirements: Minimum of 5 years' experience in one or multiple skills in data/business analytics in the financial or digital domains. Demonstrated experience in process and analysis of large amounts of data using one of these: Python, R, SQL, or SAS; on environments such as AWS, Google Cloud, or Hadoop. Knowledge and experience in AI, big data, machine learning, or predictive algorithms, statistics modeling, and data mining. Excellent communication and teamwork skills, able to collaborate effectively with different departments and stakeholders. Strong problem-solving skills and innovative thinking, able to translate complex business problems into data analytics solutions. Proven experience in one or more of: customer segmentation, digital marketing, data science, portfolio analytics, use of open-source data in analyses. Good English communication skills, able to collaborate effectively with domestic and international teams.

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As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.

Key responsibilities include:

• Developing and maintaining automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations.

• Designing test datasets and benchmarks to measure generalization, bias, explainability, and failure modes.

• Building evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing.

• Conducting comparative analyses of model architectures, training procedures, and evaluation outcomes.

• Implementing tools for continuous monitoring, regression testing, and quality assurance for ML systems.

• Designing and executing stress tests and red-teaming workflows to uncover vulnerabilities and edge cases.

• Collaborating with operations teams and subject matter experts to produce high-quality evaluation datasets.

This role requires an active security clearance or the ability to obtain a security clearance.

Ideal candidates will have experience in computer vision, deep learning, reinforcement learning, or NLP in production settings, strong programming skills in Python, and background in algorithms, data structures, and object-oriented programming.

Nice to have qualifications include graduate degree in CS, ML, or AI, cloud experience (AWS, GCP), and model deployment experience.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

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This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows.

Key Responsibilities

Customer Integration & Deployment

• Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements
• Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
• Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows
• Deploy and configure AI models and agents within customer security and compliance boundaries

AI Agent Development

• Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation
• Architect multi-agent systems that orchestrate between different models, tools, and data sources
• Implement evaluation frameworks to measure agent performance and iterate toward business objectives
• Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement

Prompt Engineering & Optimization

• Create sophisticated prompt engineering strategies optimized for customer-specific domains and data
• Build and maintain prompt libraries, templates, and best practices for customer use cases
• Conduct systematic prompt experimentation and A/B testing to improve model outputs
• Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate

Technical Leadership & Collaboration

• Serve as the primary technical point of contact for strategic enterprise accounts
• Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration
• Provide technical training and knowledge transfer to customer teams
• Work closely with Scale's product and engineering teams to translate customer needs into product improvements
• Document technical architectures, integration patterns, and best practices

Problem Solving & Innovation

• Debug complex technical issues across the entire stack, from data pipelines to model outputs
• Rapidly prototype solutions to unblock customers and prove out new use cases
• Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems
• Identify opportunities for productization based on common customer patterns

Required Qualifications

• 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design
• Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
• Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

Preferred Qualifications

• Agent Development Wiz
• Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures
• Experience building and deploying AI agents or autonomous systems in production
• Knowledge of vector databases and semantic search systems
• Contributions to open-source AI/ML projects

• Infrastructure Guru
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
• Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools
• Previous work in a devops, platform, or infra role

• Customer Product Whisperer
• Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role
• Domain expertise in verticals like finance, healthcare, government, or manufacturing
• Experience with technical enablement or teaching programs

Sample Projects

The following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.

• Deep Research for Due Diligence
• Churn Prediction
• Data Extraction Voice Agent

Compensation

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Pay Transparency

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000-$270,000 USD

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In this role, you will:

• Build & Scale: Maintain fault-tolerant, high-performance systems for serving robotics-related models and foundation models at scale, ensuring low latency for real-time applications.
• Platform Development: Build an internal platform to empower model capability discovery, enabling faster iteration cycles for research teams working on robotics.
• Collaborate: Work closely with Robotics researchers and Computer Vision engineers to integrate and optimize models for production and research environments.
• Design Excellence: Conduct architecture and design reviews to uphold best practices in system scalability, reliability, and security.
• Observability: Develop monitoring and observability solutions to ensure system health and real-time performance tracking of model inference.
• Lead: Own projects end-to-end, from requirements gathering to implementation, in a fast-paced, cross-functional environment.

Ideally, you'd have:

• Experience: 4+ years of experience building large-scale, high-performance backend systems, with deep experience in machine learning infrastructure.
• Algorithm Optimization: Deep experience optimizing computer vision and other machine learning algorithms for cloud environments, including GPU-level algorithm optimizations (e.g., CUDA, kernel tuning).
• Programming: Strong skills in one or more systems-level languages (e.g., Python, Go, Rust, C++).
• Systems Fundamentals: Deep understanding of serving and routing fundamentals (e.g., rate limiting, load balancing, compute budgets, concurrency) for data-intensive applications.
• Infrastructure: Experience with containers (Docker), orchestration (Kubernetes), and cloud providers (AWS/GCP).
• IaC: Familiarity with infrastructure as code (e.g., Terraform).
• Mindset: Proven ability to solve complex problems and work independently in fast-moving environments.

Nice to Haves:

• Exposure to Vision-Language-Action (VLA) models.
• Knowledge of high-performance video processing (e.g., FFmpeg, NVDEC/NVENC) or 3D data handling (point clouds).
• Familiarity with robotics middleware (e.g., ROS/ROS2) or AV data formats.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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At Scale, our mission is to accelerate the development of AI applications. We're looking for a Machine Learning Research Scientist/Engineer to join our team and help us shape the future of AI.

This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). You will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning.

Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.

Responsibilities

• Study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents
• Shape Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning
• Contribute to impactful research on language model reasoning
• Collaborate with external researchers
• Work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions

Requirements

• Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow
• A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.)
• At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning
• Strong written and verbal communication skills, along with the ability to work effectively across teams

Nice to Have

• Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX
• Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents
• Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar
• Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH
• Proficiency in cloud-based ML development, with experience in AWS or GCP environments

Benefits

• Comprehensive health, dental and vision coverage
• Retirement benefits
• A learning and development stipend
• Generous PTO
• Commuter stipend

Salary Range

$252,000-$315,000 USD

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Your role will be pivotal in ensuring Anduril's products work seamlessly together to achieve a variety of crucial outcomes. You'll develop innovative solutions for complex robotics problems, balance pragmatic engineering trade-offs with mission-critical requirements, and collaborate across teams to integrate software with hardware systems.

Contributing to the entire product lifecycle, from concept to deployment, you'll rapidly prototype and iterate on software solutions. We're looking for someone who thrives in a fast-paced environment and isn't afraid to tackle ambiguous problems. Your 'Whatever It Takes' mindset will be key in executing tasks efficiently, scalably, and pragmatically, always keeping the mission at the forefront of your work.

This role offers the opportunity to make a significant impact on next-generation defense technology, working with state-of-the-art robotics and autonomous systems. You'll be part of a team that values innovation, quick iteration, and delivering high-quality solutions that meet real-world needs.

Must be eligible to obtain and maintain an active U.S. Secret security clearance. This position will be located at our office in Atlanta, GA (relocation benefits provided.)

Key Responsibilities:

• Develop and maintain core robotics libraries, including frame transformations, targeting, and guidance systems, that will be utilized across all Anduril robotics platforms

• Lead the development and implementation of major features for our products, such as designing and building Software-in-the-Loop simulators for advanced systems like Altius

• Lead and mentor a group software engineers to help drive team success and to successfully hit tight project deadlines

• Optimize performance of existing products, primarily focused on our Altius Drone product line

• Collaborate closely with hardware and manufacturing teams throughout the product development lifecycle, providing timely feedback to influence and enhance final hardware designs

• Troubleshoot and resolve complex issues in deployed systems, ensuring optimal performance in the field

• Contribute to the design and implementation of multi-agent coordination systems for UAVs

• Participate in the full software development lifecycle, from concept and design through testing and deployment

• Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve our products and processes

Required Qualifications:

• Bachelor's degree in Robotics, Computer Science, or related field

• 7+ years of professional software development experience

• Experience as a lead of a small software engineering team

• Strong proficiency in C++ or Rust, with experience in Linux development environments

• Demonstrated expertise in data structures, algorithms, concurrency, and code optimization

• Proven experience troubleshooting and analyzing remotely deployed software systems

• Hands-on experience working with and testing electrical and mechanical systems

• Ability to collaborate effectively with cross-functional teams, including hardware and manufacturing

• Strong problem-solving skills and a 'Whatever It Takes' mindset

• Excellent communication skills, both written and verbal

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

• Willingness to relocate to Atlanta, GA

Preferred Qualifications:

• Master's or Ph.D. in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering)

• Expertise in one or more advanced robotics areas: motion planning, perception, localization, mapping, or controls

• Experience with performance optimization and metrics for complex robotic systems

• Proficiency in Python, Rust, and/or Go, in addition to C++

• Hands-on experience programming for embedded systems and physical devices

• Background in multi-agent coordination, particularly with UAVs

• Demonstrated ability to solve complex frame transformation problems (e.g., target localization, multi-degree-of-freedom robotic arms)

• Experience with real-time operating systems and distributed computing

• Familiarity with machine learning and AI applications in robotics

• Knowledge of sensor fusion techniques and implementation

• Understanding of aerodynamics and flight dynamics as applied to UAV systems

• Experience with simulation environments for robotics testing and development

• Track record of contributions to open-source robotics projects or relevant publications

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The ideal candidate will have a strong background in resilient kubernetes application architecture and deployment.

Responsibilities

• Champion reliability initiatives for Kubernetes application deployments: Advocate for best practices to ensure high availability, scalability, and resilience of applications in Kubernetes, focusing on robust testing, secure pipelines, and efficient resource use.
• Administer multi-tenant Kubernetes platforms: Manage complex multi-tenant Kubernetes clusters, configuring access, quotas, and security for isolation and optimal resource allocation while upholding SLAs.
• Perform lifecycle and day 2 operations on clusters: Execute Kubernetes cluster lifecycle, including provisioning, patching, monitoring, backup, disaster recovery, and troubleshooting.
• Deep dive into reliability issues: Conduct in-depth analysis and root cause identification for complex reliability incidents in Kubernetes, utilizing advanced debugging and monitoring tools to propose preventative measures.
• Perform on-call duties: Respond to critical alerts and incidents outside business hours, providing timely resolution to minimize disruptions, collaborating with teams, and communicating clearly.

Requirements

• Bachelor's in CS, Engineering, or related field, or equivalent experience preferred.
• CKA or similar certifications is highly desired.
• 5+ years administering multi-tenant SAAS Kubernetes (EKS, AKS, GKS).
• Strong Gitops/Devops with Argocd or similar helm chart management.
• Proven Docker and containerization experience.
• Strong Linux OS experience.
• Proficient in Go.
• Excellent problem-solving, debugging, and analytical skills.
• Strong communication and collaboration.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Benefits

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• 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 through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

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We are looking for a software engineer to join our team as a founding member of our Belgrade site. As a software engineer, you will be involved in the entire development cycle and exemplify all core Databricks values.

The responsibilities you will have:

• Drive requirements clarity and design decisions for ambiguous problems
• Produce technical design documents and project plans
• Develop new features
• Mentor more junior engineers
• Test and rollout to production, monitoring

What we look for:

• BS in Computer Science or equivalent practical experience in databases or distributed systems
• Comfortable working towards a multi-year vision with incremental deliverables
• Motivated by delivering customer value and impact
• 3+ years of production level experience in either Java, Scala or C++
• Solid foundation in algorithms and data structures and their real-world use cases
• Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop)

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

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The impact you will have:

• Work with a team to build features and improve architecture for the Databricks platform
• Develop and extend the Databricks product
• Own full software development lifecycle: design, development, testing, and operating in production
• Build solutions with a high level of reliability, scalability, and security

What we look for:

• You will graduate between fall 2025 and summer 2026 with a degree in Computer Science, Engineering, or related subject
• You have implementation skills with a general purpose program language, such as Python, Java, or C++
• You have knowledge of algorithms, data structures, and OOP principles
• You have experience managing end-to-end projects

We are hiring Software Engineer - New Grads across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process.

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Key responsibilities include:

• Collaborating with a multidisciplinary team of software and hardware engineers to develop software defined radios;
• Implementing high-performance, real-time signal processing chains on embedded and hardware platforms to support mission-critical sensing capabilities;
• Developing Modeling and Simulation (M&S) code for RADAR techniques and data analysis including Hardware-in-the Loop / Software-in-the-loop (HIL/SIL) testing;
• Participating in laboratory and field testing of RF systems and techniques;
• Participating in the maturation of RF systems into deployable systems and products.

Required qualifications include:

• 5+ years of experience with a BSEE or related field;
• Strong foundation in digital signal processing, comms theory, and system engineering with emphasis in direction finding algorithm implementation;
• Hands-on experience with direction finding, angle-of-arrival estimation, and multi-antenna signal processing;
• Strong experience with DSP implementation for embedded devices including FPGA, Nvidia Jetson, and Software Defined Radios and/or software defined radios;
• Strong knowledge of Python and MATLAB;
• Experience with CUDA or GPU accelerated frameworks like cuSignal is preferred;
• Familiar with deep learning algorithms;
• Familiar with wireless communication standards (Bluetooth, 3G/4G/5G, Wi-Fi, SINCGARS, MUOS, etc.).

Preferred qualifications include:

• Masters or PhD degree in Electrical, Electronics, Computer Engineering, or related fields;
• Experience with ML frameworks such as TensorFlow and PyTorch;
• Defense, national security, or aerospace domain familiarity through industry or education;
• Extensive Digital Signal Processing (DSP) knowledge and experience;
• Expertise in Synthetic Aperture Radar (SAR) and/or Inverse SAR (ISAR): Image formation, waveforms, phenomenology, modeling and simulation.

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Key responsibilities include:

• Developing best practices for instrumentation and experimentation to help fulfill our mission to bring everyone the inspiration to create a life they love
• Bringing scientific rigor and statistical methods to the challenges of product creation, development, and improvement with an appreciation for the behaviors of our users
• Building and prototyping analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
• Working cross-functionally to build and communicate key insights, and collaborating closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

Requirements include:

• 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data
• Extensive experience solving analytical problems using quantitative approaches, including machine learning, statistical modeling, forecasting, econometrics, or other related fields
• Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow, or scikit-learn
• A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail, and commitment to high-quality, results-oriented output
• Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)
• Excellent communication skills and ability to explain learnings to both technical and non-technical partners
• A team player who's able to partner with cross-functional leadership to quickly turn insights into actions

Relocation assistance is not eligible for this position. The base salary range for this position is $139,764-$287,749 USD, and the position is eligible for equity.

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You will:

• Build synthetic data pipelines to generate enterprise environments to use for RL post-training
• Create agents to convert traces from production into actionable insights to use to improve agents
• Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms
• Train state-of-the-art models, developed both internally and from the community, to deploy to our enterprise customers

Ideally, you'd have:

• 3+ years of building with LLMs in a production environment
• Clear experiences with constructing high-quality data to use to improve an LLM/Agent
• Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years
• PhD or Masters in Computer Science or a related field

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. You will take state-of-the-art models developed internally and from the community, use them in production to solve problems for our customers and taskers.

Key responsibilities include:

• Improving and maintaining production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
• Collaborating with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines
• Working with massive datasets to develop both generic models as well as fine-tune models for specific products
• Building scalable machine learning infrastructure to automate and optimize our ML services
• Serving as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations

Ideal candidates will have extensive experience using computer vision, deep learning, and deep reinforcement learning, or natural language processing in a production environment. Solid background in algorithms, data structures, and object-oriented programming is also required.

Nice to haves include a graduate degree in Computer Science, Machine Learning, or Artificial Intelligence specialization, experience working with cloud platforms, and familiarity with ML evaluation frameworks and agentic model design.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You'll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend.

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You will be responsible for looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. You will also support our support engineers with harder problems.

To be successful in this role, you will need a strong background in distributed systems and consensus algorithms. You should have strong skills in core Java and be conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You should also have a deep technical proficiency in algorithms and be able to understand and work on complex, highly distributed systems.

In addition to your technical skills, you should be able to own projects from beginning to end, covering both technical design and working with others to develop needed components. You should also have experience leading projects spanning multiple teams and communicating with a variety of stakeholders.

Bonus points will be given for data stores, search, analytics, Lucene, strong knowledge of the JDK, and asynchronous event-driven network frameworks such as Netty.

This role is eligible to participate in Elastic's stock program and has a competitive salary range of $192,500-$304,500 CAD.

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You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments.

This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows.

Customer Integration & Deployment

Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements.

Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs).

Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows.

Deploy and configure AI models and agents within customer security and compliance boundaries.

AI Agent Development

Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation.

Architect multi-agent systems that orchestrate between different models, tools, and data sources.

Implement evaluation frameworks to measure agent performance and iterate toward business objectives.

Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement.

Prompt Engineering & Optimization

Create sophisticated prompt engineering strategies optimized for customer-specific domains and data.

Build and maintain prompt libraries, templates, and best practices for customer use cases.

Conduct systematic prompt experimentation and A/B testing to improve model outputs.

Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate.

Leadership & Collaboration

Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts.

Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration.

Work closely with Scale's product and engineering teams to translate customer needs into product improvements.

Document technical architectures, integration patterns, and best practices.

Problem Solving & Innovation

Debug complex technical issues across the entire stack, from data pipelines to model outputs.

Rapidly prototype solutions to unblock customers and prove out new use cases.

Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems.

Identify opportunities for productization based on common customer patterns.

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Key Responsibilities:

• Drive end-to-end energy storage system (ESS) development on extremely accelerated timelines
• Take ownership to ensure successful battery pack delivery
• Serve as main interface between Core Battery Group and internal customers
• Collaborate with program teams to define actionable ESS requirements
• Drive battery cell selection with accelerated de-risk/validation
• Collaborate with mechanical engineers to deliver battery design revisions
• Collaborate with manufacturing engineering to ramp from proto pack revisions to production units
• Hands-on support of battery bring-up, test, debug, and vehicle integration
• Sustain fielded ESSs with root cause analysis and data processing

Requirements:

• Bachelor’s Degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or fundamental Physical Sciences
• 5+ years of experience designing, testing, and troubleshooting energy storage systems
• Demonstrated delivery of one or more energy storage systems from prototype to production
• Meaningful support and contributions to battery pack manufacturing
• Past ownership of battery pack design and prototype assembly
• Demonstrated experience in delivering robust, high-performance, energy storage systems
• Professional awareness of Battery Management System (BMS) electrical design, BMS algorithms and SW functionality, and BMS validation against operational requirements
• Professional awareness of battery cell characterization methods and battery cell or pack modeling/simulation in Matlab or Simulink
• Basic capabilities and understanding of CAD tools
• Understanding of UN38.3, NAVSEA S9310 and/or equivalent battery safety standards

Preferred Qualifications:

• Graduate Degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or fundamental Physical Sciences
• Understanding and familiarity with MIL-STD-882, MIL-STD-810, MIL-STD-704, MIL-STD-461, MIL-STD-464
• Advanced experience designing battery pack components and sub-assemblies with CAD tools
• Advanced expertise with BMS electrical design, BMS algorithms and SW functionality, and BMS validation against operational requirements
• Advanced expertise with battery cell characterization methods and battery cell or pack modeling/simulation in Matlab or Simulink

Salary Range: $132,000 - $213,000 USD

Benefits:

• Comprehensive medical, dental, and vision plans at little to no cost to you
• Income Protection: Anduril covers life and disability insurance for all employees
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December
• Family Planning & Parenting Support: Coverage for fertility treatments, adoption, and gestational carriers
• Mental Health Resources: Access free mental health resources 24/7
• Professional Development: Annual reimbursement for professional development
• Commuter Benefits: Company-funded commuter benefits based on your region
• Relocation Assistance: Available depending on role eligibility
• Retirement Savings Plan: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options

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In this role, you will sit within our Engineering department, acting as a vital bridge between Development and QA. You will maintain and improve existing CI/CD pipelines using tools such as GitHub Actions or CircleCI, facilitate and expand automation techniques, and mentor QA engineers on all topics related to automation.

We are excited for you to learn, grow, and contribute right away! We trust that you'll bring experience and knowledge that will uplift and uplevel the team, but we don't expect you to know everything on Day 1.

The expected salary range for this role is between $131,000 and $191,000. The final offered salary will be dependent upon many factors including the candidate's experience and skills.

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You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges.

Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering skills.

• Low-level systems debugging, performance measurement, and optimization on large production clusters.

• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.

• Introduce tools to allow greater automation and operability of services.

• Use your deep experience to help prevent and investigate production issues.

• Plan and lead complicated technical projects that work with several teams within the company.

• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.

• Comfortable working towards a multi-year vision with incremental deliverables.

• Motivated by delivering customer value and impact.

• Strong foundation in algorithms and data structures and their real-world use cases.

• Experience driving company initiatives towards customer satisfaction.

• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

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As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone.

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers
• Low level systems debugging, performance measurement & optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• A strong influencer or driver in the organization’s roadmap and direction.
• Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.
• Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).
• Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Your expertise in low-level system programming, kernel optimization, and virtualization technologies will be crucial in ensuring Anthropic can scale our compute infrastructure efficiently and reliably for training and serving frontier AI models.

Responsibilities:

Optimize our virtualization stack, improving performance, reliability, and efficiency of our VM environments

Design and implement kernel modules, drivers, and system-level components to enhance our compute infrastructure

Investigate and resolve performance bottlenecks in virtualized environments

Collaborate with cloud engineering teams to optimize interactions between our workloads and underlying hardware

Develop tooling for monitoring and improving virtualization performance

Work with our ML engineers to understand their computational needs and optimize our systems accordingly

Contribute to the design and implementation of our next-generation compute infrastructure

Share knowledge with team members on low-level systems programming and Linux kernel internals

Partner with cloud providers to influence hardware and platform features for AI workloads

You may be a good fit if you:

Have experience with Linux kernel development, system programming, or related low-level software engineering

Understand virtualization technologies (KVM, Xen, QEMU, etc.) and their performance characteristics

Have experience optimizing system performance for compute-intensive workloads

Are familiar with modern CPU architectures and memory systems

Have strong C/C++ programming skills and ideally experience with systems languages like Rust

Understand Linux resource management, scheduling, and memory management

Have experience profiling and debugging system-level performance issues

Are comfortable diving into unfamiliar codebases and technical domains

Are results-oriented, with a bias towards practical solutions and measurable impact

Care about the societal impacts of AI and are passionate about building safe, reliable systems

Strong candidates may also have experience with:

GPU virtualization and acceleration technologies

Cloud infrastructure at scale (AWS, GCP)

Container technologies and their underlying implementation (Docker, containerd, runc, OCI)

eBPF programming and kernel tracing tools

OS-level security hardening and isolation techniques

Developing custom scheduling algorithms for specialized workloads

Performance optimization for ML/AI specific workloads

Network stack optimization and high-performance networking

Experience with TPUs, custom ASICs, or other ML accelerators

Representative projects:

Optimizing kernel parameters and VM configurations to reduce inference latency for large language models

Implementing custom memory management schemes for large-scale distributed training

Developing specialized I/O schedulers to prioritize ML workloads

Creating lightweight virtualization solutions tailored for AI inference

Building monitoring and instrumentation tools to identify system-level bottlenecks

Enhancing communication between VMs for distributed training workloads

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate 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.

We were named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company.

Available Locations:

Remote in US and Europe

Principal VM Engineer – Workers Runtime Team

About the Department

The Emerging Technologies & Incubation (ETI) team at Cloudflare builds and launches bold, new products that push the boundaries of what's possible on the internet. By leveraging Cloudflare's massive network and edge computing capabilities, we solve complex problems at a scale few others can achieve.

About the Team

The Workers Runtime team is responsible for the execution environment that runs customer code at the edge. We focus on performance, security, and scalability, enhancing JavaScript APIs, WebAssembly support, and system optimizations to prepare for the next 10x scale increase. Our runtime operates in a resource-constrained, highly secure environment, requiring careful management of memory, CPU, and I/O.

What You'll Do

We are looking for a VM Engineer to help improve and embed the V8 virtual machine in our runtime. You'll work on low-level optimizations, performance enhancements, garbage collection, and language support to ensure our platform remains cutting-edge. This role is ideal for engineers who love tackling high-performance, low-latency challenges in distributed environments.

Key Responsibilities

• Optimize and embed the V8 VM within Cloudflare's Workers Runtime.
• Improve JavaScript execution performance and WebAssembly integration.
• Debug, optimize, and enhance low-latency, real-time environments.
• Ensure the reliability and efficiency of large-scale, Linux-based distributed systems.
• Collaborate with engineers across runtime, security, and networking teams to push the boundaries of edge computing.

What We're Looking For

• 6+ years of professional experience with C++.
• 4+ years of hands-on VM/compiler experience, ideally with V8.
• Strong knowledge of computer science fundamentals, including data structures, algorithms, and system architecture.
• Experience with low-latency environments (e.g., game streaming, trading systems, high-performance computing).
• Operational mindset – you build scalable, production-ready solutions.
• Deep understanding of web technologies (HTTP, JavaScript, WASM).

Bonus Points

• Experience working with Rust in high-performance distributed systems.
• Familiarity with serverless platforms and cloud computing.
• Deep knowledge of JS engine internals (V8, SpiderMonkey, JavaScriptCore).
• Experience with standalone WebAssembly runtimes (Wasmtime, Wasmer, Lucet).
• Strong expertise in Linux/UNIX systems, kernels, and networking.
• Contributions to large open-source projects.

This is an exciting opportunity to work on cutting-edge compiler and runtime technologies at an unmatched scale. If you're passionate about high-performance computing, distributed systems, and compilers, we’d love to hear from you!

## ##

What Makes Cloudflare Special?

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

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

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

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

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

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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Some example projects include: Apache Spark: Develop the de facto open source standard framework for big data. Data Plane Storage: Provide reliable and high performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust.

We look for: BS (or higher) in Computer Science, related technical field or equivalent practical experience. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. 5+ years of production level experience in either Java, Scala or C++. Strong foundation in algorithms and data structures and their real-world use cases. Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Local Pay Range $166,000-$225,000 USD

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Your primary responsibilities will include building and maintaining Machine Learning and advanced analytical platform components, implementing scalable, high-quality, well-architected code, collaborating with other engineering teams within Elastic, assisting our support engineers and community, and promoting knowledge sharing and collaboration in a distributed team.

To be successful in this role, you will need strong skills in core Java, a deep technical proficiency in algorithms, professional experience in leading the development of Machine Learning components, and the ability to understand and work on complex systems.

In addition to the technical requirements, you will need to be able to communicate with a variety of stakeholders, including developers, product managers, and customers.

This role offers a competitive salary range of $192,500-$304,500 CAD, as well as opportunities for professional growth and development.

If you are a motivated and experienced software engineer looking to take on new challenges, we encourage you to apply for this exciting opportunity.

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We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges.

As a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Low level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest-generation models.

We are looking for engineers with a strong track record of building and shipping AI-powered software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

Key responsibilities:

• Harness frontier models to drive real-world high-impact outcomes

• Build evaluations, training data, and infrastructure to support AI deployments and rapid iterations

• Collaborate with researchers and product managers to translate research advancements into tangible product features.

• Contribute to the development of best practices for building and deploying generative AI applications.

• Contribute signal to influence the development of frontier models

• Lead the architecture and development of new products & features from 0 to 1.

About you:

In order to set you up for success as a Staff Research Engineer, Applied AI at Google DeepMind, we look for the following skills and experience:

Required Skills:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development, and with data structures/algorithms.

• 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment

• Proven experience in rapidly developing and shipping software products.

• Deep understanding of software development best practices, including testing & deployment.

• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).

• Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

• Ability to work in a fast-paced environment and adapt to changing priorities.

Preferred Skills:

• Experience with generative AI research or applications.

• Contributions to open-source projects.

• Experience working in, or founding early stage startups.

• Experience delivering software solutions in a fast-paced, customer-facing environment.

If you are a passionate machine learning engineer with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

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We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.

Below are some example projects:

• Apache Spark: Develop the de facto open source standard framework for big data.
• Data Plane Storage: Deliver reliable and high-performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
• Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming.
• Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines.
• Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning-free, scalable, and robust.

What we look for:

• BS in Computer Science, related technical field or equivalent practical experience.
• Optional: MS or PhD in databases, distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Driven by delivering customer value and impact.
• 8+ years of production-level experience in either Java, Scala, or C++.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.

Some example projects include:

• Developing the de facto open source standard framework for big data, Apache Spark.
• Providing reliable and high-performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, such as AWS S3 and Azure Blob Store.
• Building the next generation query optimizer and execution engine that's fast, tuning-free, scalable, and robust.

We look for candidates with a strong foundation in algorithms and data structures and their real-world use cases, experience with distributed systems, databases, and big data systems, and a BS (or higher) in Computer Science or a related technical field.

The pay range for this role is $166,000-$225,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate 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.

Available Locations:

Austin, TX | Lisbon, Portugal | London, UK

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers.

Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

The Workers Runtime team delivers features and improvements to our Runtime which actually executes customer code at the edge. We care deeply about increasing performance, improving JS API surface area and compiled language support through WebAssembly, and optimizing to meet the next 10x increase in scale.

The Runtime is a hostile environment - System resources such as memory, cpu, I/O, etc need to be managed extremely carefully and security must be foundational in everything we do.

What you'll do

We are looking for a Systems Engineer to join our team. You will work with a team of passionate, talented engineers that are building innovative products that bring security and speed to millions of internet users each day.

You will play an active part in shaping product features based on what’s technically possible. You will make sure our company hits our ambitious goals from an engineering standpoint.

You bring a passion for meeting business needs while building technically innovative solutions, and excel at shifting between the two,understanding how big-picture goals inform technical details, and vice-versa.

You thrive in a fast-paced iterative engineering environment.

Examples of desirable skills, knowledge and experience

• At least 2 years of recent professional experience with C++ or Rust.
• Solid understanding of computer science fundamentals including data structures, algorithms, and object-oriented or functional design.
• An operational mindset - we don't just write code, we also own it in production.
• Deep understanding of the web and technologies such as web browsers, HTTP, JavaScript and WebAssembly.
• Experience working in low-latency real time environments such as game streaming, game engine architecture, high frequency trading, payment systems.
• Experience debugging, optimizing and identifying failure modes in a large-scale Linux-based distributed system.

Bonus Points

• Experience building high performance distributed systems in Rust.
• Experience working with cloud platforms, especially server-less platforms.
• Experience with the internals of JS engines such as V8, SpiderMonkey, or JavaScriptCore.
• Experience with standalone WebAssembly runtimes such as Wasmtime, Wasmer, Lucet, etc.
• Deep Linux/UNIX systems, kernel, or networking knowledge.
• Contributions to large open source projects

What Makes Cloudflare Special?

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

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

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

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

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

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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Your responsibilities will include:

Improving Elasticsearch's components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today. Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems.

To be successful in this role, you'll need a strong background in distributed systems and consensus algorithms. You should also have strong skills in core Java and be conversant in the standard library of data structures and concurrency constructs, as well as newer language features.

Bonus points will be given if you have experience with data stores, search, analytics, Lucene, and asynchronous event-driven network frameworks such as Netty.

At Elastic, we take care of our people. We strive to have parity of benefits across regions and believe taking care of our people is the right thing to do. We offer competitive pay, health coverage for you and your family, flexible locations and schedules, generous vacation days, and more.

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Strong candidates will have a track record of solving large-scale systems problems and low-level optimization. They should have significant experience optimizing ML systems for TPUs, GPUs, or other accelerators, and be results-oriented with a bias towards flexibility and impact.

Responsibilities:

• Identify and address performance issues across multiple ML systems
• Design and optimize kernels for the TPU
• Provide feedback to researchers on model changes and their impact on performance

Requirements:

• Bachelor's degree or equivalent combination of education, training, and/or experience
• Relevant field of study
• Years of experience required will correlate with the internal job level requirements for the position

Benefits:

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space in which to collaborate with colleagues

Note: This job description is a rewritten version of the original ad, focusing on the key responsibilities, requirements, and benefits.

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As a Robotics Software Engineer, you will write and maintain core libraries and services that perform critical functions for collaborative teams of robots. You will own major feature development and rollout of large, complex features for our products. You will work closely with Anduril and 3rd party vehicle hardware teams, as well as operational subject matter experts (fighter pilots, UAV operators, etc.) to align on requirements during product development and iterate towards a final design.

Key responsibilities include: Writing and maintaining core libraries and services that perform critical functions for collaborative teams of robots Owning major feature development and rollout of large, complex features for our products Working closely with Anduril and 3rd party vehicle hardware teams, as well as operational subject matter experts to align on requirements during product development and iterate towards a final design

Required qualifications include: Eligible to obtain and maintain an active U.S. Top Secret security clearance BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field Proven understanding of data structures, algorithms, concurrency, and code optimization Experience troubleshooting and analyzing remotely deployed software systems Experience working with and testing electrical and mechanical systems 3+ Years experience with C++ or Rust experience in a Linux development environment

Preferred qualifications include: MS or PhD Experience in one or more of the following: motion planning, perception, localization, mapping, controls, and related system performance metrics Python, Rust, and/or Go experience Experience programming for embedded and physical devices Multi-agent coordination of UAVs Complex frame transformation problems, such as target localization or multi degree of freedom robotic arms

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To be successful in this role, you will need to have 3+ years of experience applying ML to real-world problems, preferably in a growth or user acquisition context. You will need to have excellent communication skills and the ability to work effectively in cross-functional teams. You will need to have strong problem-solving skills and the ability to translate business requirements into technical solutions. You will need to have strong programming skills in Python and experience with PyTorch. You will need to have proficiency in data processing and analysis using tools like SQL, Spark, or Hadoop. You will need to have experience with recommendation systems, user modeling, or personalization algorithms. You will need to have familiarity with statistical analysis. You will need to have experience using AI coding assistants and agentic tools as a force-multiplier, and equally comfortable solving problems from first principles when those tools aren’t available. You will need to have a Bachelor’s/Master’s degree in a relevant field or equivalent experience.

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To be successful in this role, you will need a BS in Computer Science or equivalent practical experience in databases or distributed systems, comfort working towards a multi-year vision with incremental deliverables, motivation by delivering customer value and impact, and 5+ years of production-level experience in either Java, Scala, or C++. You should also have a solid foundation in algorithms and data structures and their real-world use cases, experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop), and a strong understanding of software engineering principles and practices.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

Our commitment to diversity and inclusion is a key part of our culture, and we take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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Key responsibilities include:

• Developing high-performance, high-efficiency, and highly robust avionics solutions for air vehicle platforms
• Developing reliable on-board communication systems to exchange high-bandwidth data across various air and ground assets
• Architecting, designing, and building high-speed digital PCBAs (schematic capture, simulation, board layout)
• Helping decide what to do in-house and what to outsource, communicating design requirements with external vendors and helping drive the progress
• Developing relationships with external vendors and communicating design requirements to external vendors and suppliers
• Working cross-functionally between software, firmware, and hardware teams
• Developing hardware validation test plans for sub-system and full system products

Requirements include:

• Bachelor's degree in Electrical Engineering, or a closely related field
• 8+ years relevant experience in electrical hardware design
• Experience designing high-density PCB layouts with an understanding of cutting-edge PCB manufacturing technology
• Deep understanding of thermal, mechanical, power, and performance tradeoffs
• Experience with creating test plans, benchmarking, and performing validation tests to determine performance of complex hardware systems
• Understanding of high-speed interfaces (PCIe, DDR, USB, MIPI, etc.), power integrity, and signal integrity
• Knowledgeable of EMI/EMC susceptibility and emissions along with mitigation experience
• Eligible to obtain and maintain an active U.S. Secret security clearance

Preferred qualifications include:

• Experience with high-performance SOMs (System On a Module)
• Experience in developing FPGA and ASIC architectures
• Experience with rapid, hands-on prototyping
• Skilled at soldering and reworking microelectronic components
• Knowledgeable in RF investigation and analysis with the use of specialized equipment (Spectrum analyzer, Network Analyzer, etc.) and RF simulation tool suites
• Knowledge of state-of-the-art hardware systems, software tools, and algorithms for interfaces required for sensors, actuators, firmware development, and inter-communication bus protocols (CAN-FD, Ethernet, SFP, 1553, etc.)
• Experience using Linux command line interface (CLI)

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate 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 Role

We are looking for an experienced and highly motivated engineer to join our team and contribute to our analytical database platform. The platform is a critical component of Cloudflare Analytics which provides real-time visibility into the health and performance of Cloudflare customers' online properties.

The team builds and maintains a high-performance, scalable database platform powered by ClickHouse, optimized for analytical workloads. We help our customers, both internal and external, to gain a deeper understanding of their online properties, identify trends and patterns, and make informed decisions about how to optimize their web performance, security, and other key metrics.

Our mission is to empower customers to leverage their data to drive better outcomes for their business.

As a Distributed systems engineer - Analytical Database Platform, you will:

• Develop and implement new platform components for the Cloudflare Analytical Database Platform to improve functionality and performance.
• Add more database clusters to accommodate the growing volume of data generated by Cloudflare products and services.
• Monitor and maintain the performance and reliability of existing database platform clusters, and identify and troubleshoot any issues that may arise.
• Work to identify and remove bottlenecks within the analytics database platform, including optimizing query performance and streamlining data ingestion processes.
• Collaborate with the ClickHouse open-source community to add new features and functionality to the database, as well as contribute to the development of the upstream codebase.
• Collaborate with other teams across Cloudflare to understand their data needs and build solutions that empower them to make data-driven decisions.
• Participate in the development of the next generation of the database platform engine, including researching and evaluating new technologies and approaches that can improve the database's performance and scalability.

Key qualifications:

• 3+ years of experience working in software development covering distributed systems, and databases.
• Strong programming skills (Golang, python, C++ are preferable), as well as a deep understanding of software development best practices and principles.
• Strong knowledge of SQL and database internals, including experience with database design, optimization, and performance tuning.
• A solid foundation in computer science, including algorithms, data structures, distributed systems, and concurrency.
• Ability to work collaboratively in a team environment, as well as communicate effectively with other teams across Cloudflare.
• Strong analytical and problem-solving skills, as well as the ability to work independently and proactively identify and solve issues.
• Experience with ClickHouse is a plus.
• Experience with SALT or Terraform is a plus.
• Experience with Linux container technologies, such as Docker and Kubernetes, is a plus.

If you're passionate about building scalable and performant databases using cutting-edge technologies, and want to work with a world-class team of engineers, then we want to hear from you!

Join us in our mission to help build a better internet for everyone!

This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed.

What Makes Cloudflare Special?

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

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

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

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

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

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at

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In this role, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team of engineers and researchers, and contribute to the development of impactful technologies. You will also have access to a comprehensive benefits package, including healthcare benefits, income protection, generous time off, and professional development opportunities.

The ideal candidate will have a BS in Computer Science, Machine Learning, Electrical Engineering, or a related field, and 5+ years of experience developing and benchmarking ML algorithms. You will have strong Python skills with experience in ML frameworks such as PyTorch, and be eligible to obtain and maintain an active U.S. Secret security clearance.

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Foundational Data team: Our mission in the Foundational Data team is to build and maintain high-quality datasets frequently used across all of Airbnb. We set company-wide standards that decide how locations are grouped into regions, visitors are measured based upon site traffic, bot traffic is separated from organic traffic, and cloud costs are attributed to Airbnb services. This data is used to build public financial reports, drive strategic marketing decisions, and manage operational costs.

AirCover Data Foundation: The AirCover Data Foundation team is responsible for providing trustworthy, consistent data and metrics to facilitate business insights, informed decision-making, and seamless operations across Airbnb's AirCover programs, such as Guest Travel Insurance, AirCover for Hosts, and AirCover for Guests.

As a Staff Analytics Engineer, you will bring a unique lens to our data strategy and provide in-depth technical mentorship and leadership to the team. We are looking for someone with expertise in data modeling, metric development, and large-scale distributed data processing frameworks like Presto or Spark.

Leveraging our internal, top-tier data tooling alongside other resources, you will empower both technical and non-technical teams across Airbnb to utilize our data for making decisions grounded in evidence. Staff-level engineers are expected to do this with a minimal amount of supervision. We value innovative thinkers who consistently seek smarter and more efficient solutions while managing daily operations, deadlines, and collaborating with team members.

A Typical Day:

• Develop high-quality data assets to satisfy a wide range of use-cases
• Develop frameworks and tools to scale insight generation to meet critical business and infrastructure requirements
• Collaborate and build strong partnerships with other data practitioners throughout Airbnb
• Influence the trajectory of data in decision making
• Improve trust in our data by championing for data quality across the stack

Your Expertise:

• 9+ years of experience with a BS/Masters or 6+ years with a PhD
• Fluent in SQL and proficient in at least one data engineering language, such as Python or Scala
• Expertise using business intelligence and reporting tools like Superset and Tableau
• Expertise in large-scale distributed data processing frameworks like Presto or Spark
• Expertise in data modeling for data warehouses and/or metrics repositories
• Experience with an ETL framework like Airflow
• Clear and mature communication skills: ability to distill complex ideas for technical and non-technical stakeholders
• Ability to provide technical leadership and mentorship, guiding teams on best practices and contributing to the development of analytic engineering strategies
• Experience exploring and leveraging LLM AI’s in everyday tasks (coding, documentation, etc…)
• Strong capability to forge trusted partnerships across working teams

Nice to have:

• Scaling data tasks via automation
• Previous experience in large-scale cloud-based software engineering or system architecture
• Experience with AB experimentation
• Familiarity with AI/ML algorithms, including their dependencies on data, as well as their respective strengths and limitations
• Designing and/or leveraging high-quality data visualization tools

Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states.

Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com.

How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $194,000-$240,000 USD

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

As a Senior Software Developer, you will:

• Work with a globally distributed team of experienced engineers focused on data storage mechanisms and query capabilities of Elasticsearch.
• Be an expert in the storage engine area, and everyone will turn to you when they have a question about it. You'll improve those areas based on your questions and your instincts.
• Be a full-time Elasticsearch contributor, building data-intensive new features, fixing intriguing bugs, and increasing the testing coverage, all while making the code easier to understand.
• Design and implement advanced algorithms and data structures, often working at the system and hardware level. You’ll also engage with our global community for triaging and resolving issues and pull requests.

We're looking for someone with strong core Java skills and an excellent understanding of concurrent and parallel programming principles. You should have an excellent background in applied data processing (data structures, algorithms) and be familiar with storage systems and low-level abstractions in OS. You should also be able to work with a high level of autonomy and be able to take on projects and guide them from beginning to end.

This role does not have a variable compensation component. The typical starting salary range for new hires in this role is $128,300-$203,000 CAD. This role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

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Air Dominance & Strike (AD&S) is responsible for autonomous robotics systems like the Fury unmanned fighter jet and the Barracuda family of advanced effects. The AD&S Vehicle Software team is responsible for the software running on these systems. Our software engineers collaborate with other engineering disciplines to develop software for vehicle control, networking, sensor integration, and telemetry.

We are looking for engineers excited to build the foundational vehicle software stack that supports the wide range of AD&S initiatives, from early concept simulation to first flight to live operations to large scale fleet management.

Responsibilities

• Write and maintain core libraries and services that perform critical functions for collaborative teams of robots - for example, motion deconfliction and contingency management of fast mover air vehicles.
• Own major feature development and rollout of large, complex features for our products - recent examples include developing terminal-phase autonomy for various air vehicles and developing a test plan on live surrogates.
• Work closely with Anduril and 3rd party vehicle hardware teams, as well as operational subject matter experts (fighter pilots, UAV operators, etc.) to align on requirements during product development and iterate towards a final design.

Required Qualifications

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field
• Proven understanding of data structures, algorithms, concurrency, and code optimization
• Experience troubleshooting and analyzing remotely deployed software systems
• Experience working with and testing electrical and mechanical systems
• 3+ Years experience with C++ or Rust experience in a Linux development environment

Preferred Qualifications

• MS or PhD
• Experience in one or more of the following: motion planning, perception, localization, mapping, controls, and related system performance metrics.
• Python, Rust, and/or Go experience
• Experience programming for embedded and physical devices
• Multi-agent coordination of UAVs
• Complex frame transformation problems, such as target localization or multi degree of freedom robotic arms

US Salary Range $191,000-$253,000 USD

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

Healthcare Benefits

• US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
• UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.
• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.

Additional Benefits

• Income Protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.

Retirement Savings Plan

• US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.
• UK & IE Roles: Pension plan with employer match.
• AUS Roles: Superannuation plan.

Protecting Yourself from Recruitment Scams

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

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

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

Data Privacy

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Key responsibilities include:

• Developing and maintaining a detailed project and execution plan, including feature development, testing and validation, deployment, and monitoring.
• Establishing clear objectives and deliverables for the software that align with program needs.
• Maintaining a deep understanding of underlying algorithms and software interfaces for radar processing, target tracking, detection, classification, and sensor fusion to ensure that the relevant services integrate effectively with the larger system.
• Staying updated on the latest techniques to work with subject matter experts in incorporating relevant innovations into the project plan.
• Ensuring comprehensive documentation is maintained for the project, including technical specifications, user manuals, and project reports.
• Overseeing the planning and execution of the software release process, ensuring that deployment is carried out smoothly and efficiently.
• Serving as the primary point of contact for all project-related communications, internally across teams and externally with stakeholders.

The ideal candidate will have 5+ years of experience and a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field. They will also have extensive project management experience, preferably in software development for radar systems or advanced signal processing algorithms.

Salary: $111,000-$147,000 USD per year.

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The ideal candidate has experience working on aerospace systems and understands the right fidelity of sub-system and system level modeling required to integrate with the broader flight control and mission autonomy software to support development. The role requires the individual to be proficient in vehicle/sub-system modeling and well-versed in coding practices and software integration practices.

Responsibilities: Work on challenging problems in a fast-paced environment from across our portfolio of programs and products: Simulation solutions for Guidance, Navigation and Control algorithm development Software-In-The-Loop (SITL) solutions Hardware-In-The-Loop (HITL) solutions Pilot-In-The-Loop (PITL) solutions Customer product training solutions Monte-Carlo simulation analysis Simulation and Test data analysis tools and processes Work with multi-disciplinary subject matter experts to understand and adequately model pertinent sub-system, system and system of system dynamics Work with internal and external customers to understand simulation requirements and develop efficient modeling and simulation solutions Own the end-to-end configuration of our SITL, HITL, and PITL for our test vehicles in support of safe and efficient flight tests

Requirements: Bachelor’s Degree or higher in engineering, computer science, mathematics, physics, chemistry, or related technical discipline Experience with aerospace/aeronautical systems (including rotorcraft/VTOL) and/or Subsea vehicles Experience in flight dynamics/platform physics and control Proficiency with C/C++ Advanced proficiency with scientific computing systems (Mathworks products (e.g., MATLAB, SIMULINK etc.), scientific Python (e.g., numpy, scipy) Flight test data processing/sim correlation experience Experience with developing sub-system and system level models (Air vehicle, ground vehicles, ground based sensors and other types of complex systems) Experience with model development to support Guidance, Navigation and Control algorithm development Must be eligible to obtain and maintain a U.S. TS clearance

Preferred Qualifications: Advanced proficiency with C/C++ Flight test support experience Experience with SITL and HITL simulation infrastructure design, development and deployment for complex systems Experience with developing emulated/simulation interfaces for on-board avionics

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As an Integration Engineer at Stripe, you will play a key role in helping our most strategic users accelerate their knowledge, solution design, and integrations with Stripe. You will lead strategic conversations and develop plans that transform the payments and financial infrastructure for leading enterprises.

Responsibilities:

• Plan integration engineering end-to-end, from high-level architecture down to code implementation.
• Think on your feet and communicate technical concepts, explaining how Stripe works from both a product feature and API architecture perspective.
• Be the primary, ongoing technical point of contact for our largest users' and partners' technical teams.
• Collaborate with Sales, Solution Architecture, and Implementation teams to drive client engagement, customer wins, and revenue on behalf of the Professional Services team.
• Collaborate closely with Product and Engineering to proactively identify potential enhancements and new features based on feedback gathered from the field.
• Provide deep technical guidance and debugging, inspecting and understanding the Stripe codebase and thoroughly testing functionality to best advise users.
• Lead 'Hands On Keyboard' implementations for user engagements, providing material feedback on coding practices, CI/CD, and software architecture.
• Review and optimize existing user integrations and provide recommendations to improve performance, reliability, and efficiency.
• Build tools and analytics; create dashboards, run queries, and generate custom data reports to support user business reviews and operational needs.

Requirements:

• 4 years+ experience in a Software Engineering/Integration Engineering role.
• Ability to write code (in programming languages like Python, Go, Java, C/C++ etc.) and quickly debug user code snippets.
• Comfortable with various code-level debugging (Stripe code and user code) and using code as a tool for problem-solving.
• Strong generalist technical experience, including proficiency in SQL and an understanding of data structures and algorithms.
• Understanding of the payments domain and API security topics.
• Be comfortable talking about technical concepts, and explaining how Stripe works, both from a product features and API architecture perspective.

Preferred Requirements:

• Enjoy the puzzle of solving open-ended problems, both individually and as a member of our team.
• Willingness to learn and teach others, including mentoring newer team members.
• Collaborative, communicative, consultative; able to apply specific methodologies to ensure repeatability of engagements.
• Intellectually curious, with great problem-solving skills.
• Technical writing skills to document complex integration guidance and processes.

Position Details:

• Job Type: Full Time
• Location: 383 Kent Street, Sydney, NSW, 2000, Australia / 530 Collins Street, Melbourne, VIC 3000, Australia
• Open Date: 7 April 2026

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The ideal candidate will have 7+ years of experience with a BSEE or related field, strong experience with DSP implementation for embedded devices and/or software defined radios, strong knowledge of Python and MATLAB, experience with CUDA or GPU accelerated frameworks like cuSignal, experience with embedded devices, including FPGA, Nvidia Jetson, and Software Defined Radios, skilled with Modeling and Simulation of RF systems including Radar and SAR, familiar with deep learning algorithms, experience with ML frameworks such as TensorFlow and PyTorch, familiar with wireless communication standards (Bluetooth, 3G/4G/5G, Wi-Fi, SINCGARS, MUOS, etc.), excellent at balancing multiple projects at any given time and/or managing a larger team for a larger program, enthusiastic about both working with a team and executing some work individually (depending on program scope), experience with Electronic Warfare systems, and currently possesses and is able to maintain an active U.S. Secret security clearance.

Preferred qualifications include a Master's or PhD degree in Electrical, Electronics, Computer Engineering, or related fields, defense, national security, or aerospace domain familiarity through industry or education, extensive Digital Signal Processing (DSP) knowledge and experience, expertise in Synthetic Aperture Radar (SAR) and/or Inverse SAR (ISAR): Image formation, waveforms, phenomenology, modeling and simulation.

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Your role will be pivotal in ensuring Anduril's products work seamlessly together to achieve a variety of crucial outcomes. You'll develop innovative solutions for complex robotics problems, balance pragmatic engineering trade-offs with mission-critical requirements, and collaborate across teams to integrate software with hardware systems.

Contributing to the entire product lifecycle, from concept to deployment, you'll rapidly prototype and iterate on software solutions. We're looking for someone who thrives in a fast-paced environment and isn't afraid to tackle ambiguous problems. Your 'Whatever It Takes' mindset will be key in executing tasks efficiently, scalably, and pragmatically, always keeping the mission at the forefront of your work.

This role offers the opportunity to make a significant impact on next-generation defence technology, working with state-of-the-art robotics and autonomous systems. You'll be part of a team that values innovation, quick iteration, and delivering high-quality solutions that meet real-world needs.

Must be eligible to obtain and maintain an active U.S. Secret security clearance. This position will be located at our office in Atlanta, GA (relocation benefits provided.)

Key Responsibilities:

• Develop and maintain core robotics libraries, including frame transformations, targeting, and guidance systems, that will be utilized across all Anduril robotics platforms

• Lead the development and implementation of major features for our products, such as designing and building Software-in-the-Loop simulators for advanced systems like Altius

• Optimise performance of existing products, primarily focused on our Altius Drone product line

• Collaborate closely with hardware and manufacturing teams throughout the product development lifecycle, providing timely feedback to influence and enhance final hardware designs

• Troubleshoot and resolve complex issues in deployed systems, ensuring optimal performance in the field

• Contribute to the design and implementation of multi-agent coordination systems for UAVs

• Participate in the full software development lifecycle, from concept and design through testing and deployment

• Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve our products and processes

Required Qualifications:

• Bachelor's degree in Robotics, Computer Science, or related field

• 3+ years of professional software development experience

• Strong proficiency in C++ or Rust, with experience in Linux development environments

• Demonstrated expertise in data structures, algorithms, concurrency, and code optimisation

• Proven experience troubleshooting and analysing remotely deployed software systems

• Hands-on experience working with and testing electrical and mechanical systems

• Ability to collaborate effectively with cross-functional teams, including hardware and manufacturing

• Strong problem-solving skills and a 'Whatever It Takes' mindset

• Excellent communication skills, both written and verbal

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

• Willingness to relocate to Atlanta, GA

Preferred Qualifications:

• Master's or Ph.D. in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering)

• Expertise in one or more advanced robotics areas: motion planning, perception, localisation, mapping, or controls

• Experience with performance optimisation and metrics for complex robotic systems

• Proficiency in Python, Rust, and/or Go, in addition to C++

• Hands-on experience programming for embedded systems and physical devices

• Background in multi-agent coordination, particularly with UAVs

• Demonstrated ability to solve complex frame transformation problems (e.g., target localisation, multi-degree-of-freedom robotic arms)

• Experience with real-time operating systems and distributed computing

• Familiarity with machine learning and AI applications in robotics

• Knowledge of sensor fusion techniques and implementation

• Understanding of aerodynamics and flight dynamics as applied to UAV systems

• Experience with simulation environments for robotics testing and development

• Track record of contributions to open-source robotics projects or relevant publications

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Minimum Qualifications: A Bachelor's degree in Computer Science, Statistics or a similar STEM field or equivalent experience. 8+ years of software engineering experience. Domain knowledge in Ads tech and experimentation methodology. Software development experience in backend or data-intensive systems. Proficient in at least one of the following: Python, Go, Java, C/C++. Strong understanding of system design, algorithms, and data structures. A strong understanding of the fundamentals of experimentation and causal measurement, including randomization, holdouts, confounders, statistical significance, and power.

Preferred Qualifications: Experience with Ads Lift Measurements engineering. Experience coordinating large-scale, cross-functional efforts that span different teams, and driving alignment between diverse stakeholders. Experience with Go, Python, Scala or Javascript. Understanding of ML development and principles.

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In this role, you will own the quality of results for two distinct but deeply connected 'users': the AI Agent and the Human User. You will optimize the retrieval layer that allows Large Language Models (LLMs) to reason over data they weren't trained on, ensuring they have the 'ground truth' needed to synthesize accurate, high-stakes business actions. You will also improve the traditional search experience so employees can find assets and answers through intuitive, high-recall interfaces.

This is a challenging problem that requires balancing traditional keyword-based search with semantic vector search. You will fine-tune ranking models that satisfy both human readability and LLM-ready context. You will also connect the dots across structured SQL tables, unstructured docs, and real-time business metrics.

If you want to solve the hardest problems in data discovery and see your work power the decision-making of thousands of people, let's talk.

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You will carefully listen to stakeholder needs and then design rigorous math and physics analyses leading to clear and compelling value propositions.

You will work closely with related teams, including Systems Engineering, GNC, Propulsion, Communications, Flight Software, Mission Operations, and others.

This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads.

We work with mission partners and customers to deploy reliable and robust capabilities on operationally relevant fielding timelines to meet complex challenges across the DOD and IC.

Responsibilities

• Develop model-driven analysis (and often the models themselves)
• Develop a deep understanding of transformational value of Anduril platform, autonomy, simulation, and perception products
• Use our advanced internal M&S capabilities to give our analyses an asymmetric advantage over competitors
• Convey the value through life of AI-powered distributed systems over traditional industrial offerings
• Provide rigorous analytical products which will be used to guide hardware engineering and convince stakeholders of our value advantage

Requirements

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Space Mission MS&A experience
• For example, working knowledge of constellation design, space trajectory design, and physics-level modeling across a wide variety of space missions
• Spacecraft & Payload MS&A experience, ability to perform physics-based trade-space analyses for spacecraft propulsion, power, thermal management, and payloads such as RADAR, SATCOM, and/or EOIR
• Outstanding communication skills to include visual presentation of complex data
• Strong background in orbital mechanics and space environment
• Proficiency with physics-math scripting (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Strong engineering background, preferably in Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, or other related engineering field

Preferred Qualifications

• 3+ years in a relevant Science/Engineering field
• Rendezvous Proximity Operations (RPO) Trajectory Design & Space Payloads experience
• Exceptional proficiency with physics-math scripting of your choice (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Proficiency with STK and Astrogator
• Experience with genetic algorithms, machine learning, AI, and reinforcement learning algorithms

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Your expertise in computer vision algorithms, combined with your understanding of robotics principles, will be crucial in solving a wide variety of challenges involving visual perception, SLAM, motion planning, controls, and state estimation. This role requires not only technical expertise in computer vision and robotics but also the ability to make pragmatic engineering tradeoffs, considering the unique constraints of aerial platforms.

Your work will directly contribute to the seamless integration of Anduril's products, achieving critical outcomes in autonomous operations. This position demands strong systems-level knowledge and experience, as you'll be working on the intersection of computer vision, robotics, and autonomous systems.

If you are passionate about pushing the boundaries of computer vision in robotics, possess a 'Whatever It Takes' mindset, and can execute in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions, then this role is for you.

Responsibilities:

• Work at the intersection of 3D perception and computer vision, developing robust algorithms that power real-time decision-making for autonomous aerial systems.

• Develop and implement advanced structure from motion and SLAM algorithms to create accurate 3D models from multiple camera inputs in real-time.

• Integrate perception outputs with path planning algorithms to enable autonomous navigation in complex, unstructured environments.

• Design experiments, data collection efforts, and curate training/evaluation sets to develop insights for both internal purposes and customers.

• Collaborate closely with robotics, software, and hardware teams to integrate perception algorithms into autonomous aerial systems.

• Work with vendors and government stakeholders to advance the state-of-the-art in perception and world modeling for autonomous aerial systems.

Required Qualifications:

• BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field.

• Strong knowledge of 3D computer vision concepts, including multi-view geometry, camera models, photogrammetry, depth estimation, and 3D reconstruction techniques.

• Fluency in standard domain libraries (numpy, opencv, pytorch, etc).

• Proven understanding of data structures, algorithms, concurrency, and code optimization.

• Experience working with Python, PyTorch, or C++ programming languages.

• Experience deploying software to end customers, internal or external.

• Must be willing to travel 25%.

• Eligible to obtain an active U.S. Secret security clearance.

Preferred Qualifications:

• MS or PhD in Robotics, Computer Science, Engineering, or related field.

• Experience with perception systems for aerial robotics or other highly dynamic platforms.

• Experience with real-world sensor integrations, including LiDAR, RGB-D cameras, IR cameras, stereo cameras, or TOF cameras.

• Experience with GPU / CUDA programming for accelerated computer vision processing.

• Knowledge of path planning algorithms and their integration with perception systems in dynamic environments.

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Responsibilities:

• Improve Elasticsearch's components that support concurrent and consistent indexing across multiple machines.
• Maintain our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole.
• Push the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today.
• Look into all kinds of issues, including performance or concurrency issues, and propose solutions.
• Support our support engineers with the harder problems.

Requirements:

• Strong background in distributed systems and consensus algorithms.
• Strong skills in core Java and a deep technical proficiency in algorithms.
• Ability to understand and work on complex, highly distributed systems.
• Ability to build and debug features with a broad impact, running on multiple machines.
• Ability to own projects from beginning to end.

Bonus Points:

• Data stores
• Search, analytics, Lucene
• Strong knowledge of the JDK
• Asynchronous event-driven network frameworks such as Netty

Compensation for this role is in the form of base salary. The typical starting salary range for new hires in this role is $133,100-$210,600 USD. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

Additional Information:

• As a distributed company, diversity drives our identity.
• We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
• 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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Responsibilities:

• Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
• Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition
• Communicate findings and recommendations to stakeholders across the organization
• Stay up-to-date on the latest advancements in machine learning and data science
• Mentor and guide junior data scientists on the team

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 5+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
• Platform experience and a deep understanding of the ads ecosystem
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

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You will lead the architecture, implementation, and deployment of the logic that enables these systems to understand their environment, navigate safely, respond to obstacles or threats, and execute complex missions with limited human involvement.

As a technical leader, you will provide hands-on contributions across software development, establishing a long-term software roadmap, and leading the team through execution of that plan.

Collaborating closely with program leadership and cross-functional teams from other Anduril products, you'll ensure that designs align with customer requirements while maintaining traceability to program office technical decisions.

You will act as a subject matter expert in mission systems development and integration, presenting to customers and demonstrating overall system performance.

If you enjoy tackling complex technical challenges and owning the development of high-impact products, this role is for you.

Key Responsibilities:

• Act as a technical leader on a small team owning software for Copperhead

• Draw on both your technical expertise and leadership skills to set objectives, build cross-functional teams, and rapidly drive projects to completion

• Drive the design and implementation of development processes for the initial delivery and subsequent iteration of payloads and mission systems

• Act as the technical owner for an entire mission system, including stakeholder and customer engagement, requirements definition, roadmap management, team coordination, design, implementation, sustainment and evolution

• Organize integration events, scoping key deliverables and impact to broader program

• Own customer success through the design and delivery of a fully operational mission system

• Leverage internal product and program-specific engineering teams to rapidly deliver capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time

• Generate system solutions to improve reliability, ease-of-use, and capability across a variety of customer missions

• Write and maintain core libraries (frame transformations, targeting and guidance, communications, etc.) that all robotics platforms at Anduril will use

• Own major feature development for Copperhead and manage rollout to the fleet

• Author documents to fulfill specific customer requests, including white papers and reports

• Travel up to 15% of time to build, test, and deploy capabilities in the real world, and collaborate with other teams or end-users

Required Qualifications:

• Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics

• Experience in a leadership position within a high-performing technology organization

• Proven understanding of data structures, algorithms, concurrency, and code optimization

• 6+ years of professional C++ or Rust programming experience in a Linux development environment

• Experience troubleshooting and analyzing remotely deployed software systems

• Experience with the development and sustainment of distributed software platform and application architectures, running under dynamic network topologies

• Capacity to work holistically on software-enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation, and sustainment

• Demonstrated curiosity and ability to learn outside of core discipline, and a desire to work on critical software that has a real-world impact

• Experience engaging with customers to represent the technical aspects of a product portfolio regarding missions and payloads

• Strong communication skills and ability to collaborate across technical teams

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

Preferred Qualifications:

• MS or PhD in Computer Science, Robotics, or a related field

• Experience with modeling and simulation of complex systems

• Proficiency in Python, Rust, and/or Go

• Experience in one or more of the following: high-performance computing, network programming, fault tolerance, fault handling, DevSecOps

• Experience solving complex frame transformation problems, such as target localization or multi-degree-of-freedom robotic arms

• Experience in one or more of the following: sensor integration, tracking and estimation, motion planning, perception, localization, mapping, guidance, navigation, and control, and related system performance metrics

• Hands-on experience developing software for embedded and physical devices

• Solid understanding of robotics systems, common interfaces, and protocols (gRPC, TCP/IP, RS485, RS232)

• Demonstrated ability to learn and grow individually, while effectively mentoring senior team members, building team cohesion, and increasing team capability

Experience Level: Senior

Employment Type: Full-time

Workplace Type: Onsite

Category: Engineering

Industry: Technology

Salary Range: $220,000-$292,000 USD

Required Skills:

• C++

• Rust

• Linux development environment

• Data structures

• Algorithms

• Concurrency

• Code optimization

• Distributed software platform and application architectures

• Dynamic network topologies

• Software-enabled capabilities

• Critical software

• Complex systems

• Modeling and simulation

• High-performance computing

• Network programming

• Fault tolerance

• Fault handling

• DevSecOps

• Sensor integration

• Tracking and estimation

• Motion planning

• Perception

• Localization

• Mapping

• Guidance

• Navigation

• Control

Preferred Skills:

• Python

• Go

• High-performance computing

• Network programming

• Fault tolerance

• Fault handling

• DevSecOps

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A Research Scientist at Anduril should possess an M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field. A Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas:

• Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization;
• Engineering: controls, estimation theory, digital signal processing, and machine learning;
• Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization;
• Probability: statistics and random processes.

A Research Scientist should have effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike. Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.

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Our team is responsible for the software running on our systems, including the Fury unmanned fighter jet and the Barracuda family of advanced effects. We are looking for engineers who are excited to build the foundational vehicle software stack that supports the wide range of AD&S initiatives, from early concept simulation to first flight to live operations to large scale fleet management.

Responsibilities:

• Develop software for vehicle control, networking, sensor integration, and telemetry
• Collaborate with other engineering disciplines to design and implement software solutions
• Work on critical software that has a real-world impact
• Analyze complex systems and established code bases
• Develop software solutions involving significant amounts of data processing and analysis
• Experience building software solutions involving significant amounts of data processing and analysis
• Ability to quickly understand and navigate complex systems and established code bases
• A desire to work on critical software that has a real-world impact

Preferred Qualifications:

• Experience with JOMS/NOMS ecosystem, with a focus on application development and graphical user interfaces
• Developing and testing multi-agent autonomous systems and deploying in real-world environments
• Feature and algorithm development with an understanding of behavior trees
• Developing software/hardware for flight systems and safety critical functionality
• Distributed communication networks and message standards
• Knowledge of military systems and operational tactics
• Universal Armament Interface (UAI) and WOSA

Benefits:

• US Salary Range $166,000-$253,000 USD
• Comprehensive medical, dental, and vision plans at little to no cost to you
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December
• Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching
• Professional Development: Annual reimbursement for professional development
• Commuter Benefits: Company-funded commuter benefits based on your region
• Relocation Assistance: Available depending on role eligibility
• Retirement Savings Plan: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options
• Pension plan with employer match for UK & IE Roles
• Superannuation plan for AUS Roles

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As a Senior Software Engineer on the Service Tools team, you will play a key role in enabling Airbnb's backend developers to develop, test, and maintain their code quickly and reliably. The Service Tools team is responsible for the standard development lifecycle for service owners, including AI integration, integration tests, and building services for deployment.

A TYPICAL DAY

As an engineer on Service Tools, you will work on technologies that help shape an industry-leading end-to-end developer experience for backend developers. Your responsibilities will include:

• Building our next-gen build system using the latest technologies (e.g., Bazel)
• Working on integrations between the build system and CI/CD tooling (e.g., merge queues, code coverage, integration testing)
• Improving the editor (e.g., IntelliJ) experience for all backend developers
• Helping to shape the technical strategy that directly moves our core metrics (Developer Experience, Developer Velocity, Debuggability, Resilience and Reliability) while reducing cost
• Partnering with engineering leaders across all Airbnb teams for adoption of the new capabilities

YOUR EXPERTISE

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

• 6+ years of industry experience
• Proficiency in one or more back-end server languages (Java/Ruby/Go/C++/etc.)
• Experienced in architectural patterns of a high-scale distributed products/services, such as well-designed APIs, data pipelines and efficient algorithms
• Experience or desire to work collaboratively in cross-functional teams with design, product and data science partners
• Experience working directly on build systems, and even better if you have hands-on experience with Bazel
• Experience working with large monorepos
• Extensive JVM experience
• Want to tackle projects with large open-ended scope and drive significant business impact
• Love collaborating via product reviews, code reviews and architecture discussions
• Are motivated to improve their teammates' productivity
• Are excited to join an impactful infrastructure team

OUR COMMITMENT TO INCLUSION & BELONGING

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions.

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Some example projects you will be working on include:

• Developing the de facto open source standard framework for big data, Apache Spark
• Providing reliable and high performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, Azure Blob Store
• Building the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust

We look for candidates with a strong foundation in algorithms and data structures and their real-world use cases, experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop), and 5+ years of production level experience in either Java, Scala or C++.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit our website.

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The ideal candidate possesses deep expertise in classical optimization algorithms, robust Python programming skills, and a solid foundation in data modeling. Experience with developing hybrid quantum optimization solutions is a plus.

You will leverage state-of-the-art, GenAI-powered development tools such as Claude Code to accelerate solution development and enhance our optimization software. This role demands creative problem-solving, a self-starter mentality, and the ability to rapidly apply algorithmic theory and mathematic modeling to practical, real-world optimization challenges.

You will be designing, implementing, and deploying optimization algorithms and services that integrate seamlessly into larger defense systems, working across various platforms (on-prem, cloud, and hybrid quantum computing environments).

Familiarity with modeling linear and non-linear optimization problems, rapid prototyping, integrating optimization solutions into existing architectures, leveraging APIs, and utilizing open-source tools will be crucial.

If you thrive in a dynamic environment that values creative problem-solving, love writing code, excel as both an individual contributor and team player, are eager to learn, and bring a can-do attitude, this role is for you.

Key Responsibilities:

• Design, develop, and implement highly efficient optimization algorithms and software solutions to solve challenging problems in areas such as resource allocation, scheduling, routing, mission planning, control systems, and supply chain logistics.

• Apply classical optimization techniques (e.g., linear programming, mixed-integer linear programming, combinatorial optimization, network flow, dynamic programming, heuristics, metaheuristics) to model and explore novel approaches.

• Utilize GenAI tools (e.g., OpenAI Codes, Claude Code, GitHub Copilot) to rapidly prototype, refine, and test algorithmic solutions, improving development velocity and code quality.

• Develop robust data models and efficient data pipelines to support complex optimization problems, ensuring data integrity and efficient processing for algorithmic inputs and outputs.

• Collaborate with multidisciplinary teams (software engineers, data scientists, domain experts, product managers) to integrate optimization engines and services into larger defense systems and platforms.

• Perform rigorous testing, validation, and performance analysis of optimization solutions, ensuring scalability, reliability, and accuracy under diverse operational conditions.

• Participate actively in the entire Software Development Lifecycle (SDLC) from requirements gathering and design to deployment, monitoring, and maintenance.

• Support Anduril- and customer-funded R&D efforts, contributing to technical documentation, presentations, and patent applications.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, Applied Mathematics, Operations Research, or a related quantitative field.

• 3+ years of professional experience in software development with a dedicated focus on optimization, algorithmic problem-solving, or operations research.

• Experience solving optimization problems in defense, transportation, supply chain, logistics, network optimization, smart grids or similar.

• Expert proficiency in Python for scientific computing and robust software development.

• Strong theoretical and practical understanding of classical optimization algorithms (e.g., linear programming, mixed-integer linear programming, constraint programming, network flow, dynamic programming, heuristics, meta heuristics).

• Hands-on experience with optimization libraries and commercial/open-source solvers (e.g., SciPy Optimize, PuLP, CVXPY, Gurobi, CPLEX, OR-Tools, GEKKO).

• Solid experience with data modeling, data structures, and algorithms to efficiently prepare, process, and manage data for optimization problems.

• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.

• Proficiency in using numerical computing libraries such as NumPy, SciPy, and Pandas.

• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.

• Ability to develop, test, and deploy software effectively on Linux-based systems.

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

• Experience with Git version control, build tools, and CI/CD pipelines.

• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.

• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.

Preferred Qualifications:

• Master's or Ph.D. in Computer Science, Applied Mathematics, Operations Research, or a closely related quantitative field.

• Familiarity with or a strong interest in quantum optimization algorithms, quantum computing concepts, or quantum-inspired heuristic approaches.

• Experience with D-Wave’s quantum annealing platform is a plus.

• Experience with performance-critical programming languages such as C++ or Java.

• Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying scalable optimization solutions or high-performance computing (HPC) environments.

• Prior experience in defense, aerospace, logistics, supply chain management, robotics, or manufacturing optimization domains.

• Familiarity with integrating machine learning models with optimization techniques (e.g., prescriptive analytics, reinforcement learning for optimization).

• Excellent communication skills with the ability to articulate complex technical concepts, present findings, and influence technical direction across diverse teams.

• Willingness to travel up to approximately 10%.

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In this role, you will develop, implement and maintain virtual representations of various vehicles Anduril works on. You will be required to develop and coordinate deployment and maintenance of vehicle models and simulation instantiations for various programs ongoing at Anduril.

The ideal candidate has experience working on aerospace systems and understands the right fidelity of sub-system and system level modeling required to integrate with the broader flight control and mission autonomy software to support development.

Responsibilities:

• Work on challenging problems in a fast-paced environment from across our portfolio of programs and products
• Develop simulation solutions for Guidance, Navigation and Control algorithm development
• Design, develop and deploy Software-In-The-Loop (SITL) and Hardware-In-The-Loop (HITL) solutions
• Provide customer product training solutions
• Conduct Monte-Carlo simulation analysis
• Develop and maintain simulation and test data analysis tools and processes

Requirements:

• Bachelor's Degree or higher in engineering, computer science, mathematics, physics, chemistry or related technical discipline
• Experience with aerospace/aeronautical systems (including rotorcraft/VTOL) and/or Subsea vehicles
• Experience in flight dynamics/platform physics and control
• Proficiency with C/C++
• Advanced proficiency with scientific computing systems (Mathworks products (e.g., MATLAB, SIMULINK etc.), scientific Python (e.g., numpy, scipy)
• Flight test data processing/sim correlation experience
• Experience with developing sub-system and system level models (Air vehicle, ground vehicles, ground based sensors and other types of complex systems)
• Must be eligible to obtain and maintain a U.S. TS clearance

Preferred Qualifications:

• Advanced proficiency with C/C++
• Flight test support experience
• Experience with SITL and HITL simulation infrastructure design, development and deployment for complex systems
• Experience with developing emulated/simulation interfaces for on-board avionics

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Identity is the key to unlocking the potential of AI. Auth0 secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

We are looking for a Senior Architect to join our Emerging Technologies organisation. This is a high-leverage, hands-on engineering role designed for a technical leader who wants to stay in the code while steering the architectural direction of our most ambitious bets.

You will be a core contributor and architectural anchor for two high-priority workstreams:

Fine-Grained Authorization (FGA) | Scaling 1 to 10

To build a world-class, low-latency FGA system that remains resilient under the industry's most complex identity hierarchies. We are looking for an architect who views authorisation not as a set of rules, but as a massive-scale graph computation problem that requires elegant, distributed, and mathematically rigorous solutions.

The Work:

Algorithmic Innovation: Moving beyond naive graph algorithms to implement probabilistic structures and fixpoint algorithms capable of navigating massive organisational hierarchies without computational or memory exhaustion.

Graph Resolution Heuristics: Engineering workload-aware heuristics that can intelligently prioritise and resolve graph queries based on complexity cost, maintaining low latency even when faced with high-cardinality data sets and deep nesting.

Fixpoint & Cycle Resolution: Solving for complex resolution requirements, such as circular references and recursive paths, in a horizontally scaled environment where traditional distributed patterns fail to meet our performance mandates.

Scaling the Probabilistic Logic: Designing the engine to utilise non-deterministic approaches where exact computation is too expensive, ensuring the system remains mathematically rigorous while operating at the limits of global scale.

AI Products | 0 to 1

We are pioneering the 'Agentic Identity' space. This workstream is focused on building foundational products that secure AI Agents and provide developers with the tools to manage identity in an autonomous world.

The Work: Rapidly architecting and shipping 0-to-1 product offerings that define how agents interact securely.

The Goal: Establish our platform as the standard for securing the next generation of AI-driven applications.

Core Responsibilities

Architectural Acceleration: Don't just design it, build it. You will accelerate teams by writing critical-path code and providing the architectural 'connective tissue' between complex systems.

Algorithmic Leadership: Apply deep expertise in graph theory and distributed systems to solve the unique scaling challenges of our FGA domain.

Technical Strategy: Partner with product leadership to define the technical roadmap for securing AI agents, ensuring our 0-to-1 bets are built on a sustainable foundation.

High-Bar Engineering: Set the standard for code quality, system design, and engineering excellence across the Emerging Tech group.

Qualifications

Senior Architect-Level Technical Depth: Extensive experience as a Senior Architect or Distinguished Engineer with a history of shipping complex, large-scale systems.

Hands-on Practitioner: You still love coding. You prefer to prove an architectural concept with a PR rather than a slide deck.

Domain Expertise: Strong background in Authorisation/Identity and a mastery of Graph Algorithms.

Adaptability: Comfortable shifting between the rigors of scaling a '1-to-10' product and the ambiguity of a '0-to-1' AI initiative.

#LI-Hybrid

P20140_3274921

The annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between $272,000-$374,000 USD.

Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.

The Okta Experience

Supporting Your Well-Being

Driving Social Impact

Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialised SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.

Below are some example projects:

• Apache Spark: Develop the de facto open source standard framework for big data.
• Data Plane Storage: Deliver reliable and high-performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
• Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming.
• Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines.
• Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning-free, scalable, and robust.

What we look for:

• BS in Computer Science, related technical field or equivalent practical experience.
• Optional: MS or PhD in databases, distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Driven by delivering customer value and impact.
• 8+ years of production-level experience in either Java, Scala, or C++.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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Responsibilities:

• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Develop ML models & DS methods to for improved anomaly detection, prediction, pattern recognition
• Communicate findings and recommendations to stakeholders across the organization
• Collaborate with product, engineering, sales, and marketing partners to define product and program requirements and translate them into data science solutions
• Stay up-to-date on the latest advancements in machine learning and data science

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 3+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 2+ years of industry experience in applied science or data science roles
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

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From statistical models all the way down to deep and foundational models, feature augmentation and auto-tuning, our Applied ML/AI team works on some of the most complex, most interesting problems facing businesses, making Databricks' infrastructure and products as performant and cost-efficient as possible.

This is a high-impact problem as our customers look at us to deliver the most out of their data.

Key responsibilities include:

• Building features and running end-to-end systems in a small team of experienced engineers and data scientists.
• Shaping the direction of our applied ML investment by engaging with engineering and product teams across the company.
• Driving the development and deployment of state-of-the-art ML/AI models and systems that directly impact the capabilities and performance of Databricks’ products, infrastructure, and services.
• Architecting and implementing robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments.
• Working on novel modeling techniques in the field of ML for forecasting.

What we look for:

• 2-8 years of machine learning engineering experience in high-velocity, high-growth companies.
• Strong understanding of both computer systems and statistics.
• Experience developing AI/ML systems at scale in production.
• Strong track record of ML modeling that goes beyond using standard libraries.
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews, and deployment.
• A large breadth of knowledge or willingness to develop mathematical modelling beyond the ML.

Why Join Us?

At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

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The ideal candidate will have a strong background in information retrieval, machine learning, and software engineering. You will be working on a highly complex and challenging problem, balancing traditional keyword-based search with semantic vector search, and fine-tuning ranking models to satisfy both human readability and LLM-ready context.

Responsibilities:

• Own the quality of results for our AI agents and human users
• Optimize the retrieval layer for LLMs to reason over data they weren’t trained on
• Improve the traditional search experience for employees to find assets and answers through intuitive, high-recall interfaces
• Build the guardrails and relevance scoring to ensure our AI stays grounded in reality

Requirements:

• Strong background in information retrieval, machine learning, and software engineering
• Experience with Lucene/Elasticsearch, embeddings, and ranking algorithms
• Understanding of relevance metrics (nDCG, MRR, Precision@K)
• Ability to work on a highly complex and challenging problem

Benefits:

• Comprehensive benefits and perks that meet the needs of all employees
• Opportunity to work on a highly complex and challenging problem
• Collaborative and dynamic work environment

About Databricks:

Databricks is a data and AI company that provides a platform for unifying and democratizing data, analytics, and AI. Over 10,000 organizations worldwide, including many Fortune 500 companies, rely on Databricks.

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You will lead the architecture, implementation, and deployment of the logic that enables these systems to understand their environment, navigate safely, respond to obstacles or threats, and execute complex missions with limited human involvement.

As a technical leader, you will provide hands-on contributions across software development, establish a long-term software roadmap, and lead the team through execution of that plan.

Collaborating closely with program leadership and cross-functional teams from other Anduril products, you'll ensure that designs align with customer requirements while maintaining traceability to program office technical decisions.

You will act as a subject matter expert in mission systems development and integration, presenting to customers and demonstrating overall system performance.

If you enjoy tackling complex technical challenges and owning the development of high-impact products, this role is for you.

In this role, you will:

• Act as a technical leader on a small team owning software for Copperhead
• Draw on both your technical expertise and leadership skills to set objectives, build cross-functional teams, and rapidly drive projects to completion
• Drive the design and implementation of development processes for the initial delivery and subsequent iteration of payloads and mission systems
• Act as the technical owner for an entire mission system, including stakeholder and customer engagement, requirements definition, roadmap management, team coordination, design, implementation, sustainment, and evolution
• Organize integration events, scoping key deliverables and impact to broader program
• Own customer success through the design and delivery of a fully operational mission system
• Leverage internal product and program-specific engineering teams to rapidly deliver capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time
• Generate system solutions to improve reliability, ease-of-use, and capability across a variety of customer missions
• Write and maintain core libraries (frame transformations, targeting and guidance, communications, etc.) that all robotics platforms at Anduril will use
• Own major feature development for Copperhead and manage rollout to the fleet
• Author documents to fulfill specific customer requests, including white papers and reports
• Travel up to 15% of time to build, test, and deploy capabilities in the real world, and collaborate with other teams or end-users

Required qualifications include:

• Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics
• Experience in a leadership position within a high-performing technology organization
• Proven understanding of data structures, algorithms, concurrency, and code optimization
• 6+ years of professional C++ or Rust programming experience in a Linux development environment
• Experience troubleshooting and analyzing remotely deployed software systems
• Experience with the development and sustainment of distributed software platform and application architectures, running under dynamic network topologies
• Capacity to work holistically on software-enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation, and sustainment
• Demonstrated curiosity and ability to learn outside of core discipline, and a desire to work on critical software that has a real-world impact
• Experience engaging with customers to represent the technical aspects of a product portfolio regarding missions and payloads
• Strong communication skills and ability to collaborate across technical teams
• Eligible to obtain and maintain an active U.S. Secret security clearance

Preferred qualifications include:

• MS or PhD in Computer Science, Robotics, or a related field
• Experience with modeling and simulation of complex systems
• Proficiency in Python, Rust, and/or Go
• Experience in one or more of the following: high-performance computing, network programming, fault tolerance, fault handling, DevSecOps
• Experience solving complex frame transformation problems, such as target localization or multi-degree-of-freedom robotic arms
• Experience in one or more of the following: sensor integration, tracking and estimation, motion planning, perception, localization, mapping, guidance, navigation, and control, and related system performance metrics
• Hands-on experience developing software for embedded and physical devices
• Solid understanding of robotics systems, common interfaces, and protocols (gRPC, TCP/IP, RS485, RS232)
• Demonstrated ability to learn and grow individually, while effectively mentoring senior team members, building team cohesion, and increasing team capability

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You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day. You will collaborate with multiple customers and stakeholders across Stripe to deliver value and debug production issues.

We're looking for someone with 2-12+ years of industry software engineering experience, who can write well-factored algorithms and has experience with commonly used data structures and algorithms. You should have hands-on experience contributing to or building large scale distributed systems, strong coding skills in any programming language, and strong collaboration skills.

Preferred qualifications include experience optimizing the end to end performance of distributed systems, focusing on the needs of our users, both internal and external, and holding yourself and others to a high bar when working with production.

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Key responsibilities include:

• Improving Elasticsearch's components that support concurrent and consistent indexing across multiple machines.
• Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole.
• Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today.
• Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions.
• Supporting our support engineers with the harder problems.

To succeed in this role, you will need a strong background in distributed systems and consensus algorithms. You should have strong skills in core Java and be conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You should also have a deep technical proficiency in algorithms and have shown your ability to understand and work on complex, highly distributed systems.

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We're looking for engineers who have owned high scale operational sensitive systems like customer facing APIs, Edge Gateways, ML Inference, or similar services and have an interest in getting deep building LLM APIs and runtimes at scale. As a Staff Engineer, you'll play a critical role in shaping both the product experience and core infrastructure.

The impact you will have:

• Design and implement core systems and APIs that power Databricks Foundation Model Serving, ensuring scalability, reliability, and operational excellence.
• Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.
• Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for GPU serving workloads.
• Contribute directly to key components across the serving infrastructure , from working in systems like vLLM and SGLang to creating token based rate limiters and optimizers , ensuring smooth and efficient operations at scale.
• Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.
• Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.
• Represent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy.

What we look for:

• 10+ years of experience building and operating large-scale distributed systems.
• Experience leading high-scale operationally sensitive backend systems.
• A track record of up-leveling teams engineering excellence.
• Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.
• Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.
• Strong communication skills and ability to collaborate across teams in fast-moving environments.
• Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.
• Passion for mentoring, growing engineers, and fostering technical excellence.

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As a Staff Software Engineer for Search Quality, you will drive the technical direction of ranking, relevance, evaluation, and quality initiatives across Databricks' next-generation Search product. You'll design and build the systems, models, and evaluation frameworks that ensure our Search stack delivers accurate, high-quality results across diverse multimodal datasets and query patterns.

The impact you will have:

• Lead the technical vision for Search Quality, shaping the ranking architecture, relevance modeling stack, and evaluation systems that power Databricks' next-generation retrieval experiences.

• Identify and solve challenges in ranking, query understanding, and hybrid retrieval , advancing state-of-the-art techniques in vector, keyword, and multimodal search.

• Design and train production-ready ranking and reranking models with strong guarantees around quality, latency, and resource efficiency.

• Partner closely with research, product, and infra teams to define metrics, evaluation methodologies, and experimentation strategies for new retrieval features and model architectures.

• Drive end-to-end engineering efforts , from early prototyping to production rollout , ensuring correctness, reliability, and measurable improvements to relevance.

• Build and operate resilient, low-latency services for ranking, evaluation, and relevance signal processing.

• Champion excellence in ML and search engineering, mentoring teammates and elevating design, code quality, and scientific rigor across the team.

• Shape Databricks' long-term roadmap for retrieval quality, ranking infrastructure, and the foundations for retrieval-driven AI products.

What we look for:

• 10+ years of experience building large-scale search, ranking, recommendation, or ML-driven relevance systems.

• Deep expertise in Search Quality, including ranking models, signals, query understanding, and evaluation methodologies.

• Strong understanding of relevance metrics and evaluation frameworks.

• Familiarity with vector search, keyword search, hybrid retrieval, and embedding-based semantic retrieval.

• Solid foundation in algorithms, data structures, and system design for performance-critical ranking and retrieval systems.

• Proven ability to deliver high-impact technical initiatives with clear business or product outcomes.

• Strong communication skills and ability to collaborate across teams in fast-moving environments.

• Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.

• Passion for mentoring, growing engineers, and fostering technical excellence.

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As a Member of Technical Staff at xAI, you will build frameworks to improve the reasoning capability, build distributed reinforcement learning systems, techniques for inference time compute (e.g. tree search and planning), and develop environments for agents.

You will get exposure and will be expected to solve and take ownership of components across the entire stack.

Responsibilities

• Build robust and scalable distributed RL systems.
• Optimise frameworks to enable complex inference-time reasoning.
• Develop environments and harnesses for agents.

Basic Qualifications

• Experienced with large-scale reinforcement learning systems.
• Designing and implementing distributed systems.
• Keeping up with state-of-the-art RL and inference time compute algorithms.

Interview Process

After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews:

• Coding assessment in a language of your choice.
• Systems hands-on: Demonstrate practical skills in a live problem-solving session.
• Project deep-dive: Present your past exceptional work to a small audience.
• Meet and greet with the wider team.

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From cluster management all the way down to query compilation, our Applied AI team works on some of the hardest, most interesting problems facing the business, making Databricks infrastructure and products as performant and cost-efficient as possible.

This is a high impact problem as our customers look at us to deliver the most optimized workloads.

The impact you will have:

• Build end-to-end systems from the ground up in a small team of experienced people.
• Shape the direction of our applied ML areas of investment by engaging with engineering and product teams across the company.
• Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products, infrastructure and services.
• Architect and implement robust, scalable ML infrastructure, including data storage and processing, model training and serving components, and monitoring and reporting systems to support seamless integration of AI/ML models into production environments.
• Work on novel modeling techniques in the field of ML for Systems.
• Contribute to the broader AI community by publishing research, presenting at conferences, and actively participating in open-source projects, enhancing Databricks' reputation as an industry leader.

What we look for:

• 2-8 years of machine learning engineering experience in high velocity, high-growth companies.
• Strong understanding of both computer systems and statistics.
• Large breadth of knowledge or interest in mathematical modeling beyond ML (OR, combinatorial optimization).
• Experience developing AI/ML systems at scale in production.
• Strong track record of ML modeling that goes beyond using standard libraries.
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.
• Experience deploying, scaling and monitoring models in production; deep understanding of the unique infrastructure challenges posed by training and serving predictions in Tier 0 environments.

Why Join Us?

At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

Please note we are open to employees working from our Mountain View, CA office for this position.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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

Local Pay Range $166,000-$210,250 USD

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This is a principal software engineering role that focuses on enhancing the vector and keyword search functionality within Elasticsearch, covering the design and implementation of new search features, enhancements to existing search functionality, and resolving bugs.

As a Principal Software Engineer, you will lead initiatives within Elasticsearch to produce an industry-leading search engine offering, supplying unparalleled speed and relevance in search. You will contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.

You will work with a globally distributed team of experienced engineers focused on the search capabilities of Elasticsearch. You will be an expert on Elasticsearch search relevance. You'll identify and drive improvements in this area based on your questions and your instincts.

You will work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself. You will write idiomatic modern Java -- Elasticsearch is 99.8% Java!

Professional experience with search and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale. Strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas. You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.

You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.

You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way. Excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus points if you've built things with Elasticsearch before. You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration. You have experience designing, leading and owning cross-functional initiatives.

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is $159,800-$252,800 USD. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

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As a Senior Software Engineer, you will be responsible for exploring, shaping, and developing new product experiences alongside cross-functional partners (design and product); from ideation to implementation at scale.

You will build efficient and reusable backend capabilities, with high quality, while making sure to maintain performance and scalable systems.

Lead initiatives that measurably improve Guest and Host experience by improving app responsiveness, scale efficiently and reliability across key backend paths that impact millions.

Drive a performance roadmap: identifying bottlenecks, prioritizing work by impact, and delivering improvements across services, data access patterns, and infrastructure.

Raise the bar on performance engineering by building tooling, benchmarks, and guardrails that prevent regressions and make performance a first-class part of how teams ship.

Influence architecture and standards across Airbnb’s backend ecosystem, making systems more observable, more efficient, and easier to evolve.

Millions of users across the world engage with the Airbnb app in multiple languages every day. As an engineer on the App Foundation team, you would be critical to the continued success and broad appeal of Airbnb.

In this role, you will have an opportunity to:

Work collaboratively in cross-functional teams with design, product and data science partners, to define and ship impactful features.

Propose architectural patterns of a high-scale applications, such as well-designed APIs, data pipelines and efficient algorithms

Writing unit and integration tests, reviewing other’s code

Review service-level performance metrics and triage anomalies or regressions.

Profile and debug performance issues across service boundaries and implement fixes (e.g., query optimization, caching strategies, concurrency improvements, payload reduction).

Partner with engineers across teams to improve critical request flows - aligning on SLOs, rollout plans, and measurement strategies.

Participate in code reviews and architecture discussions with a performance lens, helping teams ship changes safely and efficiently

Document learnings and create playbooks so performance improvements scale beyond a single service or team.

Your Expertise:

5+ years of software development experience

Strong expertise in one or more back-end server languages (Java/Kotlin/C++/etc.)

Experience in building and scaling high-quality and high-traffic products (or systems) in a distributed manner.

Deep backend expertise, including proficiency with databases, cloud technologies, and asynchronous messaging systems.

End-to-end ownership mentality that transcends team boundaries.

Passion for building strong collaborative relationships with other engineering & product partners

Want to tackle projects with large open-ended scope and drive significant business impact

Able to self-serve on data analysis and make data driven decisions

Rigorous attention to detail and the ability to tackle ambiguous problems

Embrace the ever-changing culture, prioritize breadth over depth but can still go in-depth when needed.

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Key Responsibilities:

• Develop guidance algorithms (terminal and midcourse) and state estimators for group 1-3 UAV platforms
• Work closely with the flight software and computer vision team to define requirements, develop GNC software and validate functionality in simulation on aggressive timelines
• Review test data captured from the flight control system, subsystems, and other test instrumentation to verify vehicle performance, evaluate GNC algorithm/controller behaviour, or debug incidents during testing or from fielded assets

Requirements:

• Bachelor's degree in Robotics, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or a related field with a focus on dynamic systems and control
• 3+ years professional experience in a GNC role, preferably focusing on missile or weapons systems
• Experience with tactical guidance algorithms and target state estimation development
• Experience with state estimation and filtering
• Kalman filtering, sensor fusion, complementary filters, etc.
• Experience in modelling and simulation of linear and nonlinear dynamic systems and model linearisation
• Experience coding in Matlab and Simulink
• C/C++ Proficiency
• Eligible to obtain and maintain an active U.S. Secret security clearance

Preferred Qualifications:

• Master's Degree or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or a related field with a focus on dynamic systems and control
• 5+ years professional experience in a GNC role, preferably focusing on missile or weapons systems
• Experience with flight test and debugging GNC on UAV platforms
• Experience with GNC design and analysis for fixed wing, rotary wing aircraft and/or tactical missile systems
• Experience with seeker integration
• Experience in one or more of the following: VIO, TERCOM, gimbal mount models, detection and tracking, LWIR/EO sensors, RADAR, target motion models
• Experience with Simulink Embedded Coder

XML job scraping automation by YubHub

This is a principal software engineering role that focuses on enhancing the vector and keyword search functionality within Elasticsearch, covering the design and implementation of new search features, enhancements to existing search functionality, and resolving bugs.

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

As a Principal Software Engineer, you will lead initiatives within Elasticsearch to produce an industry-leading search engine offering, supplying unparalleled speed and relevance in search. You will contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.

You will work with a globally distributed team of experienced engineers focused on the search capabilities of Elasticsearch. You will be an expert on Elasticsearch search relevance. You'll identify and drive improvements in this area based on your questions and your instincts.

You will work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself. You will write idiomatic modern Java -- Elasticsearch is 99.8% Java!

We're looking for someone with professional experience with search and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.

You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components. You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.

You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way. You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus points if you've built things with Elasticsearch before. You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration. You have experience designing, leading and owning cross-functional initiatives.

At Elastic, we strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. We offer competitive pay based on the work you do here and not your previous salary. We provide health coverage for you and your family in many locations. We allow you to craft your calendar with flexible locations and schedules for many roles. We offer generous vacation days each year. We increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service. We provide up to 40 hours each year to use toward volunteer projects you love. We embracing parenthood with minimum of 16 weeks of parental leave.

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You want to build the cutting-edge systems that train AI models like Claude. You're excited to work at the frontier of machine learning, implementing and improving advanced techniques to create ever more capable, reliable and steerable AI.

As an ML Systems Engineer on our Reinforcement Learning Engineering team, you'll be responsible for the critical algorithms and infrastructure that our researchers depend on to train models. Your work will directly enable breakthroughs in AI capabilities and safety.

You'll focus obsessively on improving the performance, robustness, and usability of these systems so our research can progress as quickly as possible.

Our finetuning researchers train our production Claude models, and internal research models, using RLHF and other related methods. Your job will be to build, maintain, and improve the algorithms and systems that these researchers use to train models.

You'll be responsible for improving the speed, reliability, and ease-of-use of these systems.

Strong candidates may also have experience with:

High performance, large scale distributed systems Large scale LLM training Python Implementing LLM finetuning algorithms, such as RLHF

Representative projects:

Profiling our reinforcement learning pipeline to find opportunities for improvement Building a system that regularly launches training jobs in a test environment so that we can quickly detect problems in the training pipeline Making changes to our finetuning systems so they work on new model architectures Building instrumentation to detect and eliminate Python GIL contention in our training code Diagnosing why training runs have started slowing down after some number of steps, and fixing it Implementing a stable, fast version of a new training algorithm proposed by a researcher

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is $500,000-$850,000 USD.

Logistics:

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.

Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

How we're different:

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles.

We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.

As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Responsibilities:

• Design, develop, and maintain tokenization systems used across Pretraining and Finetuning workflows
• Optimize encoding techniques to improve model training efficiency and performance
• Collaborate closely with research teams to understand their evolving needs around data representation
• Build infrastructure that enables researchers to experiment with novel tokenization approaches
• Implement systems for monitoring and debugging tokenization-related issues in the model training pipeline
• Create robust testing frameworks to validate tokenization systems across diverse languages and data types
• Identify and address bottlenecks in data processing pipelines related to tokenization
• Document systems thoroughly and communicate technical decisions clearly to stakeholders across teams

You May Be a Good Fit If You:

• Have significant software engineering experience with demonstrated machine learning expertise
• Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments
• Can work independently while maintaining strong collaboration with cross-functional teams
• Are results-oriented, with a bias towards flexibility and impact
• Have experience with machine learning systems, data pipelines, or ML infrastructure
• Are proficient in Python and familiar with modern ML development practices
• Have strong analytical skills and can evaluate the impact of engineering changes on research outcomes
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Care about the societal impacts of your work and are committed to developing AI responsibly

Strong Candidates May Also Have Experience With:

• Working with machine learning data processing pipelines
• Building or optimizing data encodings for ML applications
• Implementing or working with BPE, WordPiece, or other tokenization algorithms
• Performance optimization of ML data processing systems
• Multi-language tokenization challenges and solutions
• Research environments where engineering directly enables scientific progress
• Distributed systems and parallel computing for ML workflows
• Large language models or other transformer-based architectures (not required)

The annual compensation range for this role is $320,000-$405,000 USD.

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Some example projects include:

• Developing the de facto open source standard framework for big data, Apache Spark.
• Providing reliable and high performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
• Building the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust.

To be successful in this role, you will need:

• BS (or higher) in Computer Science, related technical field or equivalent practical experience.
• 8+ years of production level experience in either Java, Scala or C++.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).

We offer a competitive salary range of $182,400-$247,000 USD, annual performance bonus, equity, and comprehensive benefits.

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Your primary focus will be on building the platform and components that enable customers to gain insights from their data. This team builds and maintains the infrastructure that integrates advanced analytics and machine learning components into the distributed Elastic platform, making these available for our Search, Observability, and Security Solutions.

Key responsibilities include:

• Building and maintaining Machine Learning and advanced analytical platform components.
• Implementing scalable, high-quality, well-architected code.
• Collaborating with other engineering teams within Elastic that build on our platform.
• Assisting our support engineers and community.
• Promoting knowledge sharing and collaboration in a distributed team.

To succeed in this role, you should have strong skills in core Java and be conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You should also have a deep technical proficiency in algorithms and professional experience in leading the development of Machine Learning components.

Bonus points for experience with the Elastic Stack, C++, Python/Go, and open-source experience.

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Our mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence.

As a Member of Technical Staff - Inference, you will be responsible for optimising the latency and throughput of model inference, building reliable and performant production serving systems to serve billions of users, accelerating research on scaling test-time compute and rollout in reinforcement learning training, and model-hardware co-design for next-generation architectures.

To be successful in this role, you will need to have worked on system optimisations for model serving, such as batching, caching, load balancing, and parallelism, worked on low-level optimisations for inference, such as GPU kernels and code generation, worked on algorithmic optimisations for inference, such as quantisation, distillation, and speculative decoding, and low-precision numerics, worked on large-scale inference engines or reinforcement learning frameworks, worked on large-scale, high-concurrent production serving, and worked on testing, benchmarking, and reliability of inference services.

The base salary for this role is $180,000 - $440,000 USD, and we offer a comprehensive total rewards package, including 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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This position is needed to develop the future platform of communications. Twilio SMS Engineering is looking for a Software Engineer to join our team to work on our SMS connectivity layer with the purpose to build and optimize for delivery.

You will be developing a complex distributed platform in Java and be concerned with availability, throughput, latency, and data integrity. At the core are cloud technologies that enable deployment and management of computing resources globally.

Responsibilities:

• Design, develop, test and deploy features alongside an experienced, distributed collaborative team

• Participating in code reviews to ensure code quality and adherence to coding standards.

• Work independently to troubleshoot/determine resolution for issues in your team's domain

• Managing your work through the use of Github, Jira, and our build/deploy systems

• Ensure quality by writing unit-, integration- and load-tests

• Collaborating with cross-functional teams to define, design, and ship new features.

Qualifications:

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio.

We are always looking for people who will bring something new to the table!

*Required:

• Experience with Java frameworks such as Dropwizard, Spring, Hibernate, or similar.

• Experience with cloud services (AWS preferred, Google, Azure etc.)

• Strong Computer Science fundamentals not limited to data structures, algorithms, operating systems, and distributed systems

• Knowledge of processes and engineering best practices in all phases of the software development life cycle

• Readiness to participate in the on-call rotation

• Strong communication skills and desire to make an impact and thrive in small, collaborative, energetic teams

Desired:

• Experience with microservice architecture

• Experience working with Agile/Scrum methodologies

• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest-generation models.

We are looking for engineers with a strong track record of building and shipping AI-powered software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

Key responsibilities:

• Harness frontier models to drive real-world high-impact outcomes

• Build evaluations, training data, and infrastructure to support AI deployments and rapid iterations

• Collaborate with researchers and product managers to translate research advancements into tangible product features.

• Contribute to the development of best practices for building and deploying generative AI applications.

• Contribute signal to influence the development of frontier models

• Lead the architecture and development of new products & features from 0 to 1.

About you:

In order to set you up for success as a Staff Research Engineer, Applied AI at Google DeepMind, we look for the following skills and experience:

Required Skills:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development, and with data structures/algorithms.

• 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment

• Proven experience in rapidly developing and shipping software products.

• Deep understanding of software development best practices, including testing & deployment.

• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).

• Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

• Ability to work in a fast-paced environment and adapt to changing priorities.

Preferred Skills:

• Experience with generative AI research or applications.

• Contributions to open-source projects.

• Experience working in, or founding early stage startups.

• Experience delivering software solutions in a fast-paced, customer-facing environment.

If you are a passionate machine learning engineer with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

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You will collaborate closely with our technical teams to support the development and refinement of new AI capabilities, with a particular emphasis on quantitative trading domains.

Your expertise will help select and solve challenging problems in systematic and quantitative strategies , including statistical arbitrage, factor investing, market microstructure modeling, high-frequency / execution algorithms, risk premia harvesting, machine learning-based alpha generation, and portfolio optimisation under realistic constraints.

This role requires strong analytical thinking, rapid adaptation to evolving guidelines, and the ability to provide rigorous, technically sound critiques and solutions in a fast-moving environment.

As a Quantitative Trader, you will directly contribute to xAI's mission by helping train and refine our frontier AI models.

You will teach the models how quantitative traders reason, model markets, evaluate signals, manage risk, and interact with complex financial data and systems.

This involves providing high-quality data in various formats (text, voice, video), writing detailed annotations, critiquing model outputs, recording audio explanations, and occasionally participating in structured video sessions.

We are looking for individuals who are enthusiastic about these data-generation activities, as they form a core part of advancing xAI’s goals in scientific discovery and real-world reasoning.

Quantitative Traders provide labeling, annotation, evaluation, and expert reasoning services across text, voice, and video data modalities to support model training and evaluation.

The role may include recording audio responses, participating in video-based tasks, or producing step-by-step quantitative reasoning traces , all of which are essential job functions required to fulfill xAI’s mission.

All outputs are considered work-for-hire and owned by xAI.

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This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. As a Quantitative Finance Expert, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. Quantitative Finance Experts teach our AI models about how people interact and react, as well as how people approach issues and discussions in quantitative finance. To accomplish this, Quantitative Finance Experts will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from quantitative finance fields that align with your expertise, focusing on areas like portfolio optimization, derivatives pricing, or high-frequency trading backtests, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Must possess a Master's or PhD in a quantitative finance-related field (Quantitative Finance, Financial Engineering, Financial Mathematics, Applied Mathematics, Statistics, Economics with quantitative focus, or related disciplines) or equivalent professional experience as a quantitative trader or analyst.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various financial information resources, databases, and online resources (e.g., Bloomberg, Reuters, SEC filings).
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation in quantitative finance.

Preferred Skills and Experience:

• Professional experience as a quantitative trader or analyst.
• Possesses experience with at least one publication in a reputable finance or economics journal or outlet.
• Teaching experience as a professor
• Familiarity with Python/R for financial scripting or ML libraries (e.g., QuantLib)
• FRM (Financial Risk Manager)
• CQF (Certificate in Quantitative Finance)
• PRM (Professional Risk Manager)
• CAIA (Chartered Alternative Investment Analyst)
• CFA (Chartered Financial Analyst)

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Our company’s mission is to make secure login easy and available for everyone. Yubico was founded in 2007 by Stina and Jakob Ehrensvard, and is public on Nasdaq Stockholm Main Market: YUBICO.

We are a global company with a strong company culture and employees located in over 14 countries. Yubico’s headquarters are based in Stockholm, Sweden and Santa Clara, CA.

Aligned with our mission to make the internet more secure for everyone, Yubico donates YubiKeys to organizations helping at-risk individuals through our philanthropic initiative, Secure it Forward.

Tasks & Responsibilities:

Implement, maintain and optimize cryptographic algorithms and primitives (e.g. encryption, hashing, digital signatures, key exchanges) that run on YubiKeys and YubiHSMs

Follow research about classical algorithms (RSA, ECC, etc.), as well as Post Quantum Cryptography algorithms (ML-DSA, ML-KEM, etc.)

Basic Qualifications:

Ability to follow research in cryptography

Good understanding of classical (a)symmetric cryptography and PQC

Knowledge of side-channel attacks (EM, power and timing analysis etc.) and mitigations against them

Disciplined approach in writing correct and highly efficient code

Preferred Qualifications:

Low level programming experience (C and Assembly)

Experience with embedded architectures

Ability to adapt and tune algorithms on resource constrained environments

Knowledge around fault injection attacks

Hands-on experience with lab equipment such as oscilloscopes, logic analyzers and similar

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In this role, you will help drive the successful adoption of complex solutions by shaping technical approaches, engaging with customers, and guiding programs from concept through deployment.

Key responsibilities include:

• Owning the technical pre-sales cycle, running deep-dive discovery sessions, crafting solution architectures, and delivering demos and proof-of-concepts that showcase Hivemind's autonomy, AI/ML, and robotics capabilities.

• Serving as the customer's trusted technologist, translating mission needs into achievable engineering tasks, answering tough questions, and rapidly clearing technical blockers during capture.

• Designing integrations, working side-by-side with customer engineering teams to embed Hivemind on UAS, UGV, maritime, and fixed-site platforms, ensuring performance, security, and compliance.

• Creating crisp technical collateral, presentations, specs, FAQs, roadmaps, and demo scripts that accelerate decision-making and shorten sales cycles.

• Collaborating with Product & Engineering, relaying field feedback, influencing the roadmap, validating new features, and vetting out-of-plan opportunities for technical feasibility.

• Supporting proposals and RFIs, providing architectures, data sheets, and quantified performance claims that strengthen our bids.

• Championing Hivemind expertise globally, training regional BD teams and embedding with customers on-site for technical interchange meetings, flight tests, and system bring-ups.

• Tracking the landscape, staying current on autonomy and AI innovations, competitor offerings, and emerging standards to keep Shield AI in front.

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Your work will directly shape what users experience: designing APIs that serve rich content, building services that handle real-time interactions, implementing content-matching systems for rights and safety, and ensuring our platform performs under load. You'll architect systems that are fast, correct, and maintainable.

You'll collaborate closely with Product, ML Research, and Mobile/Web teams to ship features that matter. We use Python, Go, BigQuery, Pub/Sub, and a microservices architecture,but we care more about good judgment than specific tool experience.

Responsibilities

• Design and maintain application-level data models that organize rich content into canonical structures optimized for product features, search, and retrieval.
• Build high-reliability ETLs and streaming pipelines to process usage events, analytics data, behavioral signals, and application logs.
• Develop data services that expose unified content to the application, such as metadata access APIs, indexing workflows, and retrieval-ready representations.
• Implement and refine fingerprinting pipelines used for deduplication, rights attribution, safety checks, and provenance validation.
• Own data consistency between ingestion systems, application surfaces, metadata storage, and downstream reporting environments.
• Define and track key operational metrics, including latency, completeness, accuracy, and event health.
• Collaborate with Product teams to ensure content structures and APIs support evolving features and high-quality user experiences.
• Partner with Analytics and Research teams to deliver clean usage datasets for experimentation, model evaluation, reporting, and internal insights.
• Operate large analytical workloads in BigQuery and build reusable Dataflow/Beam components for structured processing.
• Improve reliability and scale by designing robust schema evolution strategies, idempotent pipelines, and well-instrumented operational flows.

Requirements

• Experience building production backend services and APIs at scale
• Experience building ETL/ELT pipelines, event processing systems, and structured data models for applications or analytics
• Strong background in data modeling, metadata systems, indexing, or building canonical representations for heterogeneous content
• Proficiency in Python, Go, SQL, and scalable data-processing frameworks (Dataflow/Beam, Spark, or similar)
• Familiarity with BigQuery or other analytical data warehouses and strong comfort optimizing large queries and schemas
• Experience with event-driven architectures, Pub/Sub, or Kafka-like systems
• Strong understanding of data quality, schema evolution, lineage, and operational reliability
• Ability to design pipelines that balance cost, latency, correctness, and scale
• Clear communication skills and an ability to collaborate closely with Product, Research, and Analytics stakeholders

Nice to Have

• Experience building application-facing APIs or microservices that expose structured content
• Background in information retrieval, indexing systems, or search infrastructure
• Experience with fingerprinting, perceptual hashing, audio similarity metrics, or content-matching algorithms
• Familiarity with ML workflows and how downstream analytics and usage data feed back into research pipelines
• Understanding of batch + streaming architectures and how to blend them effectively
• Experience with Go, Next.js, or React Native for occasional full-stack contributions

Why Join Us

You will design the core data services and pipelines that power our product experience, analytics, and business operations. You’ll work on high-impact data challenges involving real-time signals, large-scale metadata systems, and cross-platform consistency. You’ll join a small, fast-moving team where you’ll shape the structure, reliability, and intelligence of our downstream data ecosystem.

Benefits

• Highly competitive salary and equity
• Quarterly productivity budget
• Flexible time off
• Fantastic office location in Manhattan
• Productivity package, including ChatGPT Plus, Claude Code, and Copilot
• Top-notch private health, dental, and vision insurance for you and your dependents
• 401(k) plan options with employer matching
• Concierge medical/primary care through One Medical and Rightway
• Mental health support from Spring Health
• Personalized life insurance, travel assistance, and many other perks

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This role requires a minimum of 7 years of related experience with a Bachelor's degree, or 3 years and a Master's degree, or a PhD with 2 year experience, or equivalent experience. You should have a proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment.

Preferred qualifications include familiarity with continuous integration / delivery and test-driven development, and experience working with robotics and/or control systems, specifically unmanned aerial systems.

The salary for this role is $180,000 - $280,000 a year, with a bonus, benefits, and equity included in the offer package.

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This position requires a deep understanding of military operations, wargaming, modeling & simulation (M&S), and operational analysis techniques. Your work will directly shape Shield AI's strategy by identifying how our AI-powered aircraft can best serve the evolving needs of modern warfare.

Responsibilities:

• Develop and execute operational analysis strategies to assess the effectiveness of autonomous aircraft in real-world military scenarios.
• Lead modeling, simulation, and wargaming efforts to evaluate system performance, mission impact, and survivability in contested environments.
• Work closely with engineering teams to translate operational insights into design decisions and system improvements.
• Conduct trade studies and sensitivity analyses to assess system performance under varying operational conditions and threats.
• Utilize advanced modeling & simulation tools (e.g., AFSIM, STK, MATLAB, Python) to develop high-fidelity mission models.
• Analyze force-on-force engagements, sensor effectiveness, and autonomy-driven decision-making to optimize mission success.
• Collaborate with DoD stakeholders, operators, and warfighters to understand mission needs and align system capabilities with operational requirements.
• Develop and present technical reports, briefings, and recommendations to senior leadership, customers, and government agencies.
• Support concept of operations (CONOPS) development for new AI-driven aircraft capabilities.
• Identify emerging threats and operational challenges, ensuring Shield AI's systems remain ahead of adversary capabilities.

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Your work will support the transition of cutting-edge research into fielded capabilities, helping Shield AI deliver precision navigation solutions for mission-critical applications.

Responsibilities:

• Develop and implement real-time state estimation algorithms including inertial navigation, sensor fusion, and alternative navigation methods for GPS-denied or degraded environments.

• Integrate data from IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar into robust estimation frameworks.

• Design sensor processing pipelines focused on accuracy, robustness, and system-level fault tolerance.

• Collaborate with autonomy, software, and hardware teams to ensure end-to-end integration of navigation and PNT systems.

• Conduct simulation, lab testing, and field trials to evaluate algorithm performance under real-world conditions.

• Stay current on advancements in state estimation and navigation technologies and help adapt new innovations into deployable solutions.

Qualifications:

• Typically requires a minimum of 3 years of relevant experience with a bachelor’s degree; or 2 years with a master’s degree; or 1 years with a PhD; or equivalent practical experience.

• Familiarity with algorithms.

• Proficient in C++11 or newer in real-time environments.

• Comfortable working in Linux, with experience using standard command-line tools and scripting.

• Strong written and verbal communication skills with a collaborative mindset.

• Demonstrated success working in fast-paced development cycles and delivering high-quality results.

Preferred Qualifications:

• Experience developing and deploying real-time navigation or sensor fusion algorithms using IMUs, GPS, or other sensors.

• Strong understanding of filtering and estimation techniques (e.g., Kalman filters, EKF, UKF, particle filters).

• Experience implementing inertial navigation algorithms in degraded or GPS-denied conditions.

• Exposure to visual odometry or computer vision-based navigation approaches.

• Experience optimising code for performance on compute-constrained platforms.

• Familiarity with CUDA or hardware acceleration techniques (e.g., FPGAs).

• Experience transitioning navigation solutions from research into production environments.

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A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.

Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.

Responsibilities:

• Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution.
• Develop advanced perception algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.
• Implement sensor fusion frameworks by integrating data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques.
• Develop state estimation capabilities by designing and refining algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs.
• Analyze and utilize sensor ICDs to ensure correct data handling, interpretation, and synchronization.
• Optimize perception performance by tuning and evaluating perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.
• Support autonomy integration by working closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.
• Validate in simulated and operational settings by leveraging synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.
• Collaborate with hardware and sensor teams to ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.
• Drive innovation in airborne sensing by contributing novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.
• Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).

Requirements:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.
• 7+ years of experience in Unmanned Systems programs in the DoD or applied R&D.
• 2+ years of people leadership experience.
• Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models.
• Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches.
• Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications.
• Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs.
• Proficiency with version control, debugging, and test-driven development in cross-functional teams.
• Ability to obtain a SECRET clearance.

Preferences:

• Hands-on integration or algorithm development with airborne sensing systems.
• Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks.
• Experience deploying perception software on SWaP-constrained platforms.
• Familiarity with validating perception systems during flight test events or operational environments.
• Understanding of sensing challenges in denied or degraded conditions.
• Exposure to perception applications across air, maritime, and ground platforms.

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A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.

We are seeking a skilled and motivated manager to lead technical teams and support direct projects integrating perception solutions for defense platforms.

Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.

Responsibilities:

• Multidisciplinary Team Leadership – Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution.
• Develop advanced perception algorithms , Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.
• Implement sensor fusion frameworks , Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness.
• Develop state estimation capabilities , Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation.
• Analyze and utilize sensor ICDs , Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization.
• Optimize perception performance , Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.
• Support autonomy integration , Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.
• Validate in simulated and operational settings , Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.
• Collaborate with hardware and sensor teams , Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.
• Drive innovation in airborne sensing , Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.
• Travel Requirement , Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).

Required Qualifications:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience
• 5+ years of experience in Unmanned Systems programs in the DoD or applied R&D
• 2+ years of people leadership experience
• Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models.
• Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches.
• Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications.
• Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs.
• Proficiency with version control, debugging, and test-driven development in cross-functional teams.
• Ability to obtain a SECRET clearance.

Preferred Qualifications:

• Hands-on integration or algorithm development with airborne sensing systems.
• Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks.
• Experience deploying perception software on SWaP-constrained platforms.
• Familiarity with validating perception systems during flight test events or operational environments.
• Understanding of sensing challenges in denied or degraded conditions.
• Exposure to perception applications across air, maritime, and ground platforms.

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Your key responsibilities will include:

Developing and implementing advanced sensor algorithms for processing data from IMUs, radar, cameras, GPS, and other sensors. Enhancing state estimation algorithms by integrating multi-sensor data for improved accuracy and robustness. Designing and implementing real-time sensor data processing pipelines. Collaborating with cross-functional teams, including software engineers, autonomy researchers, and hardware engineers, to ensure seamless integration of state estimation algorithms. Conducting experiments and field tests to validate the performance of state estimation algorithms in real-world scenarios. Staying updated with the latest advancements in sensor technologies and state estimation, applying them to our systems.

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