FieldAI · 1 week ago
Technical Project Manager – Robotics Hardware
Field AI is transforming how robots interact with the real world by building risk-aware AI systems for robotics. The Technical Project Manager will coordinate end-to-end hardware execution, ensuring alignment across engineering teams and overseeing production scaling and certification efforts.
Enterprise SoftwareRobotic Process Automation (RPA)Robotics
Responsibilities
Build hardware team roadmaps across development and operations. Identify critical paths, coordinate dependencies and drive weekly progress
Develop and maintain a resilient supply chain by tracking long-lead components, evaluating vendor options, and coordinating with suppliers. Assess and manage manufacturing paths including contract manufacturers, local technicians, and internal builds
Define validation plans (thermal, ingress, reliability, functional), allocate prototype units, manage test fixtures and setups, and verify test results. Ensure hardware meets the requirements for reliable field deployment
Work closely with EE and ME teams to ensure designs are ready for certification. Coordinate external lab logistics for EMI/EMC, IP and other critical certifications
Maintain current design files, test results, build procedures, and release documentation. Ensure engineering changes are version-controlled and clearly communicated across teams and vendors
Facilitate alignment between hardware and autonomy/software teams, operations, platform integrators and field deployment groups. Represent hardware in company-wide planning
Qualification
Required
5-10 years of experience in hardware program management in a cross-discipline environment (EE/ME/FW/Test)
Experience running hardware through validation cycles
Strong familiarity with certification processes (EMI/EMC, FCC, IP ratings)
Technical ability to engage with electrical, mechanical, sensing and compute teams and understand system-level trade-offs
Strong communication and leadership skills, comfortable working with engineers, operations teams, external labs and company leadership
BS in EE, ME, CE, Robotics or related; MS a plus but not required
Preferred
Track record of managing multiple concurrent hardware programs, vendor relationships, schedule risk and cross-team dependencies
Experience in robotics, autonomous systems, or sensing/compute payloads
Experience in both structured and agile/hands-on environments (e.g., small hardware team inside larger org or scrappy startup)
Experience scaling production of technical hardware systems
Company
FieldAI
FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate autonomously in hazardous, offroad, and potentially harsh industrial settings – all without GPS, maps, or any pre-programmed routes.
Funding
Current Stage
Early StageTotal Funding
$405M2025-08-20Series Unknown· $91M
2025-08-20Series A· $314M
Recent News
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2025-12-19
2025-10-16
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