95 open roles
Supply Chain Manager, Robotics Hardware
$100k to $200k
Against the Irvine typical range
Job description
FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence.
If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
Hardware Team: The Hardware Team at FieldAI 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.
Supply Chain Manager, Robotics Hardware The Supply Chain Manager will be responsible for ensuring uninterrupted supply continuity across both in-house and outsourced manufacturing operations. This role will drive material planning, supplier performance, production readiness, inventory optimization, and cost management to ensure payloads and systems are built on schedule and meet all downstream demand requirements.
The ideal candidate combines strong operational execution with strategic supplier management, excels in fast-paced environments, and has experience supporting complex electromechanical products from prototype through production scale.
Description copied from Field AI's careers page. Read the full posting before you apply.
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