Robotics Hardware Engineer – Electrical Systems

Overview

Field AI is transforming how robots interact with the real world. We build risk‑aware, reliable, and field‑ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. Our solutions are globally deployed and continuously improve through real‑field applications.

The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real‑world environments. We work across the full hardware stack: sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). We focus on research, design, prototyping, testing, and operations, striving for core capabilities, system reliability, and scalability.

As an Electrical Engineer on the Hardware Team, you design and implement electrical systems that enable power and communications across the sense and compute packages. Your work covers power systems, wire harnesses, PCB design, and communications networks. You will collaborate with mechanical, sensor, and compute teams to build tightly integrated solutions ready for field deployment, and may contribute across all hardware domains.

• Design regulated power systems (voltage rails, DC/DC converters, fuses, grounding schemes).
• Design and document robust wire harnesses, including shielding, strain relief, and standard connectors.
• Create PCBs for power distribution, protocol bridging, and embedded control.
• Architect wired and wireless communication systems (Ethernet, USB, CAN, I2C, Wi‑Fi, 5G).
• Maintain system‑level power and bandwidth budgets, ensuring tolerance to noise, EMI, and vibration.
• Develop PCB schematics, harness diagrams, pinouts, and BOMs using KiCAD or Altium.
• Conduct electrical calculations: current draw, peak power, signal integrity, fault analysis.
• Design for field conditions (EMI/EMC, thermal resilience, fault isolation).
• Perform power and communication tests (noise, load, load transients, bandwidth, latency, EMI).
• Collaborate with sensor, compute, and mechanical teams for end‑to‑end system compatibility.
• Maintain PCB schematics and wiring diagrams; manage system‑level power and data budgets.
• Work with vendors to procure PCBs and harnesses; develop QA checks for incoming units.
• Debug systems using logs, oscilloscopes, analyzers, and power monitors.
• Provide on‑site support during integration, deployment, and servicing in the field.

• B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, Robotics, or a related field.
• Experience designing and testing low‑voltage regulated power systems.
• Hands‑on design and integration of custom wire harnesses for robotics or automotive‑style systems.
• Proficiency in PCB schematic and layout using KiCAD, Altium, or equivalent tools.
• Familiarity with USB, Ethernet, CAN, I2C, GMSL, and wireless technologies.
• Skills with oscilloscopes, power analyzers, and EMI/EMC setups.
• Ability to produce detailed electrical documentation for design, manufacturing, and servicing.
• Experience working across mechanical, compute, and autonomy teams to deliver robust integrated systems.
• Ability to contribute to electrical, sensing, and embedded computing work.

• Experience scaling systems from prototype to large‑scale production.
• Experience developing systems for harsh field environments.
• Experience working on robotics deployed in real‑world settings (autonomous vehicles, drones, ruggedized robots).
• Fluency across electrical, mechanical, and software systems.
• Background in fault protection, EMI/EMC compliance, and safety‑critical design.

Salary range: $70,000 – $300,000 annual (based on experience, location, and role). Benefits include health, dental, vision, 401(k) matching, paid time off, remote/hybrid options, and professional development support.

We solve one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field…