Robotics Systems Integration Engineer, Robotics Hardware

FieldAI•Irvine, CA

21h•Onsite

About The Position

Field AI 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. As a Robotics Integration Engineer on the Hardware Team at Field AI, you will bring new robot platforms into our fleet and ensure that they operate at high standards in real world environments. This will involve integrating our control systems, autonomy stack, and payloads onto new robotic platforms. Your work will span across areas including platform abstraction, robot control, autonomy, sim-to-real validation, and electro-mechanical integration. Responsibilities may include the full lifecycle from initial platform bring-up through safety qualification and field deployment. You will collaborate closely with the Autonomy/RL, Manipulation, Mechanical, and Electrical teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally while your focus will be on platform integration, you may contribute across hardware, field operations, and autonomy domains.

Requirements

B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related field.
3-9 years of experience.
Hands-on experience with middleware (ROS/ROS2) and computing languages (python, C++).
Strong generalist robotics software background spanning controls, navigation, and systems integration across legged and wheeled platforms.
Comfort working across the sim-to-real gap, validating RL or autonomy policies from simulation (Isaac, Gazebo, MuJoCo) on physical hardware.
Working familiarity with motors, actuation, BLDC motor controllers, and power distribution or electrical systems.
Familiarity with CAN bus, EtherCAT, or similar real-time robotics communication protocols.
Ability to work across mechanical, electrical, controls, and autonomy domains to make integrated systems function reliably on real hardware.

Nice To Haves

Experience integrating software across multiple robot platforms, including legged/quadruped, humanoid, and wheeled UGVs (e.g., Unitree, Boston Dynamics, Clearpath).
Experience deploying robots in harsh, diverse industrial field environments such as construction, mining, and oil & gas.
Background in functional safety standards (ISO 26262, ASIL, SOTIF/ISO 21448) and safety-critical systems testing and validation.
Experience with whole-body control, impedance/admittance control, MPC, or trajectory optimization for legged or manipulator systems.
Experience with multi-robot fleet operations, auto-docking/charging infrastructure, or teleoperation systems.

Responsibilities

Build software abstraction layers between each robot's native control stack (such as ROS/ROS2) and our own systems, enabling payloads to move across platforms.
Ensure navigation and controls stacks running correctly on physical hardware across quadruped, humanoid, and wheeled platforms.
Work with mechanical and electrical engineers on designing and integrating mechanical (saddles) and electrical (power distributions boards) interfaces.
Validate and adapt RL-based autonomy policies from simulation (Isaac, Gazebo, MuJoCo) to real-world performance on terrain, stairs, and uneven ground.
Coordinate across Autonomy/RL, Manipulation, Mechanical, and Electrical teams to bring new platforms online.
Use SIL/HIL testing to ensure integrated systems are safe, reliable, and ready for field operation. Test features such as safety features and operations under different Operational Design Domains (ODDs).
Identify, procure, test, and integrate diverse new robotic systems.
Support multiple robot morphologies including legged, quadruped, biped/humanoid, and wheeled UGVs.
Implement e-stop and redundancy/fault-tolerant safety layers, contributing to functional safety (ISO 26262, ASIL) as practices mature.
Support charging station and docking infrastructure for charging, data offload, and communications.
Handle the hands-on logistics of standing up new robot platforms for field deployment across construction, mining, and oil & gas environments.