$100K – $200K/yr
Role overview
Job description
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.
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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.
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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.
2. Cross-Team Collaboration & Fleet Scaling
3. Safety & Infrastructure
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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 3-9 years of experience.
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Software: Hands-on experience with middleware (ROS/ROS2) and computing languages (python, C++).
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Robotics Software Generalist: Strong generalist robotics software background spanning controls, navigation, and systems integration across legged and wheeled platforms.
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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.
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Cross Functional Hardware Knowledge: Working familiarity with motors, actuation, BLDC motor controllers, and power distribution or electrical systems.
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Communication Protocols: Familiarity with CAN bus, EtherCAT, or similar real-time robotics communication protocols.
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Systems Thinking: Ability to work across mechanical, electrical, controls, and autonomy domains to make integrated systems function reliably on real hardware.
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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).
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Field Environments: Experience deploying robots in harsh, diverse industrial field environments such as construction, mining, and oil & gas.
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Functional Safety: Background in functional safety standards (ISO 26262, ASIL, SOTIF/ISO 21448) and safety-critical systems testing and validation.
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Advanced Controls: Experience with whole-body control, impedance/admittance control, MPC, or trajectory optimization for legged or manipulator systems.
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Fleet & Infrastructure: Experience with multi-robot fleet operations, auto-docking/charging infrastructure, or teleoperation systems.
About this listing
- Source: FieldAI's official careers site (via Lever) · last confirmed on the source 27 Oct 2026
- Posted 20 Jul 2026
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What they are looking for
Skills & requirements
Qualification
B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related field.
Department · Engineering
Hiring company
FieldAI
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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