Job Description

Field AI  is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

About the Job

We are looking for a DevOps engineer with a passion for robotics and embedded systems to design and maintain the infrastructure that powers our next-generation robotic platforms — from agile legged robots and advanced humanoids to full-scale off-road autonomous vehicles . You will build and optimize CI/CD pipelines for Python, C, C++ and ROS/ROS2 projects, manage deployments across diverse hardware targets, and integrate both software-in-the-loop (SIL) and hardware-in-the-loop (HIL) testing. This role is about building systems that scale seamlessly to a global fleet of hundreds of thousands of robots operating in the field , delivering reliable, secure, and rapid software updates at massive scale.

What You’ll Get To Do

• CI/CD Pipeline Development & Maintenance
• Design, build, and maintain robust CI/CD pipelines for Python, C, C++ and ROS/ROS2 projects targeting embedded platforms, using GitHub Actions and other modern CI/CD platforms (e.g., TeamCity , Jenkins , or similar).
• Automate build, packaging, and deployment processes using shell scripting to ensure fast, reliable releases.
• Implement quality gates, static analysis, and automated tests (including Python-based validation scripts) to maintain high code quality.
• Cross-Platform Build & Deployment
• Develop and manage cross-compilation toolchains (e.g., GCC toolchain ) and containerized build environments for NVIDIA GPUs or similar targets.
• Use catkin , CMake , or other comparable build systems to support ROS-based projects.
• Integrate Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing into the deployment workflow, leveraging Python for test orchestration, simulation control, and result parsing.
• Optimize build processes for performance, reproducibility, and minimal downtime.
• Infrastructure & Automation
• Manage dedicated build servers, runners, and artifact storage using Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible, or similar).
• Implement system monitoring, logging, and alerting using a variety of modern observability tools.
• Continuously improve deployment reliability, security, and scalability.
• Collaboration & Continuous Improvement
• Work closely with robotics, perception, and controls teams to align infrastructure with project goals.
• Gather feedback from developers to streamline workflows and reduce bottlenecks.
• Stay up to date with DevOps best practices and bring innovative solutions to the team.

What You Have

• Proven experience in CI/CD pipeline development for C/C++ software in embedded or robotics environments, using GitHub Actions or similar CI/CD platforms (e.g., TeamCity , Jenkins ).
• Strong skills with build systems such as catkin , CMake , or equivalent, and experience with cross-compilation using the GCC toolchain or similar.
• Proficiency in Python and shell scripting for automation, testing, and deployment workflows.
• Experience with ROS/ROS2 and its build ecosystem (catkin, colcon, or similar).
• Hands-on experience deploying to embedded targets (e.g., NVIDIA Jetson, Intel NUC, or comparable hardware).
• Familiarity with version control best practices (Git workflows, branching strategies, CI triggers).
• Experience with containerization (Docker, Podman, or similar) for reproducible builds.
• Understanding of networking and remote deployment fundamentals .

The Extras That Set You Apart

• Experience with Yocto Project or other embedded Linux build frameworks.
• Prior work in robotics-focused DevOps environments.
• Knowledge of GPU-accelerated deployments and performance tuning on NVIDIA or similar platforms.
• Experience with automated testing frameworks for embedded systems, including Python-based SIL and HIL test suites integrated with CI pipelines.
• Contributions to open-source robotics or DevOps tooling .
• Familiarity with DevSecOps practices and secure build/deployment pipelines.
• Experience scaling CI/CD infrastructure with distributed runners, caching, and artifact repositories.
• Deep understanding of embedded constraints such as secure boot, OTA updates, and real-time OS integration.

Compensation and Benefits

Our salary range is generous ($70,000 - $200,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Why Join Field AI?

We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field , winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution

To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates. 

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!

We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status.

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