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Relari in San Francisco is seeking a hardware-focused engineer to build the physical systems behind our robotics research, from EMG and contact-sensing hardware to the robot fleet used for evaluation. The role emphasizes fast experiments, reliable signal acquisition, and close vendor collaboration.
You will iterate on wearables and fixtures with CAD, 3D printing, and basic machining, while coordinating with biomechanics and robot-learning researchers to translate experimental needs into durable
You will build the physical systems behind our research, from in‑house EMG and contact-sensing hardware to the robot fleet used for evaluation. The work spans fast experiments, careful signal acquisition, embedded electronics, mechanical integration, and taking successful prototypes into repeatable builds with external design, fabrication, and manufacturing partners.
You will build the physical systems behind our research, from in‑house EMG and contact-sensing hardware to the robot fleet used for evaluation. The work spans fast experiments, careful signal acquisition, embedded electronics, mechanical integration, and taking successful prototypes into repeatable builds with external design, fabrication, and manufacturing partners.
Relari is a small research and engineering startup developing new ways for robots to learn dexterous skills from human biomechanics. Our founders have AI research roots at MIT and NVIDIA, along with autonomous‑vehicle and robotics deployment experience at Pony AI and Dexterity. We are backed by top investors including Y Combinator, General Catalyst, and Soma Capital. You will work directly with the founders, own problems end to end, and test your ideas on real robotic systems. This role is full‑time and on‑site in San Francisco.