Field AI
Robotics Systems Engineer
$150K–$200K
Irvine, CA · On-site · Full-time · Posted Aug 24, 2026
- Experience
- 5+ years.
- Education
- Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or a related technical field.
About the job
Build and maintain systems software and hardware integrations that make Field AI’s robotic platforms reliable and ready for real-world deployment.
What you'll do
- Develop robot provisioning, configuration, deployment, monitoring, diagnostics, and recovery tools and services.
- Integrate onboard compute, sensors, networking, device drivers, vendor SDKs, and system services across robot platforms.
- Improve reliability through testing, observability, health monitoring, fault recovery, and system-level debugging.
What they ask for
- 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, and strong understanding of Linux systems and networking.
- Hands-on experience developing, integrating, or debugging robotic, embedded, or other hardware-software systems; familiarity with ROS/ROS 2 or similar middleware.
Nice to have
- Experience operating production robots outside controlled lab environments, or with embedded/edge compute platforms.
- Experience with Docker, Kubernetes, provisioning, OTA updates, fleet management, or system-level testing and observability.
Pay
USD 150,000–200,000 per-year-salary (base salary)
Tools
C++, Python, Linux, ROS/ROS 2, systemd, udev, Docker, Kubernetes
AI focus
The role supports embodied AI by building reliable robotic systems for field deployment; no specific AI model development duties are stated.
Model-written summary · the original posting is authoritative