Systems Engineer, Robotics Hardware, Large Wheeled Platforms
SalaryNo pay range posted
LocationIrvine, CA
Work modeon-site
Typefull-time
SeniorityMid
Experience1–5 yrs
DepartmentEngineering, Hardware Engineering
Company size501–1,000 people
PostedOct 8, 2026 · 3d ago
Verified live1h ago
California law requires most employers to post a pay range.
At a glanceSummarised by Seekless from the posting.
Must have9
B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related field
1-5 years of experience
Hands-on experience with middleware (ROS/ROS2)
Hands-on experience with 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 have5
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
Skills
ROS
ROS2
Python
C++
Isaac
Gazebo
MuJoCo
CAN bus
EtherCAT
MPC
BLDC motor controllers
About Us
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.
Systems Engineer Role
As a Systems Engineer for Large Wheeled Platforms on the Hardware Team at Field AI, you will bring new large wheeled 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.
What You Will Get To Do
1. Platform Integration & Controls
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Platform Abstraction: 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.
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Robot Controls & Navigation: Ensure navigation and controls stacks running correctly on physical hardware across quadruped, humanoid, and wheeled platforms.
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Electro-Mechanical Integration: Work with mechanical and electrical engineers on designing and integrating mechanical (saddles) and electrical (power distributions boards) interfaces .
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Sim-to-Real: Validate and adapt RL-based autonomy policies from simulation (Isaac, Gazebo, MuJoCo) to real-world performance on terrain, stairs, and uneven ground.
2. Cross-Team Collaboration & Fleet Scaling
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Cross-Functional Integration: Coordinate across Autonomy/RL, Manipulation, Mechanical, and Electrical teams to bring new platforms online.
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Testing & Validation: 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).
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New Robots: Identify, procure, test, and integrate diverse new robotic systems.
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Multi-Platform Support: Support multiple robot morphologies including legged, quadruped, biped/humanoid, and wheeled UGVs.
3. Safety & Infrastructure
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Safety Systems: Implement e-stop and redundancy/fault-tolerant safety layers, contributing to functional safety (ISO 26262, ASIL) as practices mature.
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Charging & Docking Infrastructure: Support charging station and docking infrastructure for charging, data offload, and communications.
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Field Deployment Logistics: Handle the hands-on logistics of standing up new robot platforms for field deployment across construction, mining, and oil & gas environments.
What You Have
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Education: B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related field.
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Experience Level: We are looking to fill this role with someone with 1-5 years of experience.
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Software: Hands-on experience with middleware (ROS/ROS2) and computing languages (python, C++).
•
Robotics Software Generalist: Strong generalist robotics software background spanning controls, navigation, and systems integration across legged and wheeled platforms.
•
Sim-to-Real Experience: Comfort working across the sim-to-real gap, validating RL or autonomy policies from simulation (Isaac, Gazebo, MuJoCo) on physical hardware.
•
Cross Functional Hardware Knowledge: Working familiarity with motors, actuation, BLDC motor controllers, and power distribution or electrical systems.
•
Communication Protocols: Familiarity with CAN bus, EtherCAT, or similar real-time robotics communication protocols.
•
Systems Thinking: Ability to work across mechanical, electrical, controls, and autonomy domains to make integrated systems function reliably on real hardware.
What Will Set You Apart
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Multi-Platform Experience: Experience integrating software across multiple robot platforms, including legged/quadruped, humanoid, and wheeled UGVs (e.g., Unitree, Boston Dynamics, Clearpath).
•
Field Environments: Experience deploying robots in harsh, diverse industrial field environments such as construction, mining, and oil & gas.
•
Functional Safety: Background in functional safety standards (ISO 26262, ASIL, SOTIF/ISO 21448) and safety-critical systems testing and validation.
•
Advanced Controls: Experience with whole-body control, impedance/admittance control, MPC, or trajectory optimization for legged or manipulator systems.
•
Fleet & Infrastructure: Experience with multi-robot fleet operations, auto-docking/charging infrastructure, or teleoperation systems