Electrical Engineer, Humanoid Robotics
Quick Summary
Design regulated power systems including voltage rails, DC/DC converters, switches, fuses, and grounding schemes.
The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real world environments. Our work spans the full hardware stack designing and integrating 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). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We’re a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up.
As an Electrical Engineer on the Humanoids Team at Field AI, you will work on advanced perception, compute, and manipulation systems for humanoid robotics. You will also work closely with advanced ML teams to ensure our robots can complete increasingly complex tasks. Your work will span across power systems, high speed communication, and PCB design with the goal of ensuring our systems are electrically robust, safe, and scalable. Responsibilities may span the full lifecycle from electrical CAD through production to field support. You will collaborate closely with the mechanical, sensor, and compute teams to build tightly integrated solutions ready for deployment in challenging field environments. While your focus will be on electrical systems you will likely contribute across all hardware domains.
Responsibilities
~1 min read
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Scaling: Experience taking systems from prototype to large scale production.
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Field Environments: Experience developing systems for harsh field environments.
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Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots.
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Systems Level Robotics: Fluency across electrical, mechanical, and software systems.
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Reliability Engineering: Background in fault protection, EMI/EMC compliance, and safety-critical design.
Location & Eligibility
Listing Details
- Posted
- June 5, 2026
- First seen
- June 6, 2026
- Last seen
- September 5, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 79%
- Scored at
- June 6, 2026
Signal breakdown

Field AI develops field-proven embodied artificial intelligence (AI) technology, specifically Field Foundation Models™ (FFMs), to enable robots to operate autonomously in complex, real-world environments across various industries.
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