Test & Reliability Engineer, Robotics Hardware

Field AI · Irvine, CA

Apply on company site

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.   Test & Reliability Engineer: As a Test & Reliability Engineer on the Hardware Team at FieldAI, you will build out our testing and quality control infrastructure across mechanical, electrical, embedded, and sensor systems. Your work ensures hardware is ready to ship and holds up reliably in diverse, challenging field environments such as construction, energy, and mining.  You will partner with engineers throughout the design process to ensure systems meet requirements, develop the tests that validate them before deployment, as well as identify and mitigate issues with the deployed fleet. You may also work across multiple embodiments, including quadrupeds, humanoids, and wheeled platforms.