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Systems Engineer, Robotics Hardware, Large Wheeled Platforms

FieldAI· Engineering – Hardware Engineering
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Irvine, CA$100k - $200kFull-timePosted 1w ago

About the role

Systems Engineer for Large Wheeled Platforms responsible for bringing new platforms into Field AI’s fleet, integrating control systems, autonomy stack, and payloads, and ensuring safe, field-ready operation across multiple robot morphologies.

Responsibilities

  • Platform Integration & Controls: Build software abstraction layers between each robot's native control stack (ROS/ROS2) and our systems to enable payloads to move across platforms; Robot Controls & Navigation: Ensure navigation and controls stacks run on physical hardware across quadruped, humanoid, and wheeled platforms; Electro-Mechanical Integration: Design and integrate mechanical (saddles) and electrical (power distributions boards) interfaces; Sim-to-Real: Validate and adapt RL-based autonomy policies from simulation to real-world performance.
  • Cross-Team Collaboration & Fleet Scaling: Coordinate across Autonomy/RL, Manipulation, Mechanical, and Electrical teams to bring new platforms online; Testing & Validation: Use SIL/HIL testing and validate safety features and operations under different ODDs; New Robots: Identify, procure, test, and integrate diverse new robotic systems; Multi-Platform Support: Support multiple robot morphologies including legged, quadruped, biped/humanoid, and wheeled UGVs.
  • Safety & Infrastructure: Implement e-stop and redundancy/fault-tolerant safety layers; Charging & Docking Infrastructure: Support charging stations and docking infrastructure for charging, data offload, and communications; Field Deployment Logistics: Hands-on logistics of standing up new robot platforms for field deployment in construction, mining, and oil & gas environments.

Qualifications

  • B.S., M.S., or Ph.D. in Robotics, Computer Science, or related field
  • 1-5 years of experience
  • Hands-on experience with middleware (ROS/ROS2) and computing languages (Python, C++)
  • Robotics Software Generalist with background spanning controls, navigation, and systems integration across legged and wheeled platforms
  • Sim-to-Real experience validating RL or autonomy policies from simulation (Isaac, Gazebo, MuJoCo) on physical hardware
  • Cross-functional hardware knowledge including motors, actuation, BLDC motor controllers, and power distribution/electrical systems
  • Communication Protocols familiarity with CAN bus, EtherCAT, or similar real-time robotics protocols
  • Systems Thinking; ability to work across mechanical, electrical, controls, and autonomy domains to enable reliable real hardware delivery.

Skills

Required:ROS/ROS2PythonC++Control SystemsSim-to-Real ValidationHardware IntegrationCAN/EtherCAT

Benefits

  • Full benefits
  • Equity
  • Generous time off
Last updated Oct 22, 2026. Interested? Apply on the company site.

About FieldAI

Robot intelligence built for the real-world.

FieldAI is the leader in deploying general-purpose robots in unstructured environments, providing a universal brain that works across many robots, and many tasks.

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