Field AI
Systems Engineer, Robotics Hardware, Large Wheeled Platforms
$100K–$200K
Irvine, CA · On-site · Full-time · Posted Oct 8, 2026
- Experience
- 1–5 years
- Education
- B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related field.
About the job
Integrates control systems, autonomy software, and hardware payloads onto large wheeled and other robotic platforms for reliable field deployment.
What you'll do
- Build software abstraction layers and integrate robot controls, navigation, and electro-mechanical interfaces across platforms.
- Validate autonomy policies from simulation on physical robots and perform SIL/HIL testing, safety qualification, and field deployment.
- Coordinate platform integration across engineering teams and support fleet operations, safety systems, and charging infrastructure.
What they ask for
- Hands-on experience with ROS/ROS2 and Python or C++.
- Robotics software background spanning controls, navigation, and systems integration across legged and wheeled platforms.
- Experience validating RL or autonomy policies from simulation on physical hardware.
- Working familiarity with motors, actuation, power/electrical systems, and CAN bus, EtherCAT, or similar protocols.
Nice to have
- Experience integrating multiple robot platforms or deploying in industrial field environments.
- Functional safety, advanced controls, fleet operations, docking/charging, or teleoperation experience.
Pay
USD 100,000–200,000 per year (base salary)
Tools
ROS/ROS2, python, C++, Isaac, Gazebo, MuJoCo, CAN bus, EtherCAT
AI focus
Validate and adapt RL-based autonomy policies from simulation to real-world robot performance.
Model-written summary · the original posting is authoritative