Field AIÂ 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 Robotics Platform Engineer (DevOps) 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.
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.