Field AI is looking to solve the problem of reliably and economically scaling production of their perception and compute payloads for autonomous robotics systems while maintaining world-class hardware quality.
Requirements
- Hands-on experience with mechanical and electrical integration, system bring-up, and production test workflows
- Familiarity with contract manufacturer engagement, supplier evaluation, and production transfer processes
- Experience with root cause analysis, quality engineering, and structured problem-solving
- Experience with compliance testing such as FCC/EMI, CE, UL, IP ingress testing, or ISO frameworks
- Direct experience supporting or standing up production at a contract manufacturer
- Experience with cost engineering, supplier negotiations, or BOM optimization
- Familiarity with Linux/ROS, embedded compute bring-up, or sensor system integration
Responsibilities
- Develop, document, and maintain build processes for perception and compute payload integration
- Implement best practices in DFM/DFA/DFS to ensure engineered designs are buildable at scale
- Define build standards: fasteners, torque specs, cable routing, sealing, thermal interfaces, and mechanical alignment
- Create and own assembly documentation, work instructions, test procedures, and technician training materials
- Evaluate, onboard, and manage contract manufacturers to support mechanical, electrical, and system-level builds
- Define CM deliverables, acceptance criteria, test requirements, and launch readiness
- Implement scalable quality processes—first article inspection, build audits, structured feedback cycles
Other
- Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Robotics, Manufacturing Engineering, or a related field
- 3+ years of experience in production engineering, manufacturing engineering, or hardware operations for electromechanical systems
- Ability to work cross-functionally with engineering, supply chain, technicians, and operations teams
- Excellent communication and documentation skills; able to convey complex concepts clearly
- Travel as needed to support CM bring-up, troubleshooting, and factory process validation
