Robotics Systems Engineer

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

Build and maintain the systems software that powers Field AI's robotic platforms. Bring up and integrate onboard compute, sensors, networking, and supporting hardware across different robot platforms. Develop tooling and services for robot provisioning, configuration, deployment, monitoring, diagnostics, and recovery. Integrate hardware interfaces, device drivers, vendor SDKs, and system services into a reliable robot runtime. Debug complex system-level issues spanning software, operating systems, networking, compute, sensors, and hardware. Improve robot reliability through automated testing, observability, health monitoring, and fault recovery. Collaborate with robotics, autonomy, hardware, infrastructure, and deployment teams to bring new platforms from development to field deployment.

Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or a related technical field. 5+ years of experience in robotics, systems software, embedded systems, or a related engineering role. Strong software engineering skills in C++ and/or Python. Strong understanding of Linux systems, networking, processes, devices, and system configuration. Hands-on experience developing, integrating, or debugging robotic, embedded, or other hardware-software systems. Familiarity with ROS/ROS 2 or similar robotics middleware. Ability to debug complex problems across software and hardware boundaries and drive them through resolution.

Experience building and operating production robotic systems deployed outside controlled lab environments. Deep Linux systems experience, including systemd, udev, device configuration, networking, and performance debugging. Experience with embedded or edge compute platforms. Experience with Docker, Kubernetes, or other containerized runtime environments. Experience with automated provisioning, configuration management, OTA software updates, or robot fleet management. Experience with system-level test automation, hardware-in-the-loop testing, observability, telemetry, and diagnostics.

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