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Infi Robotics in the San Francisco Bay Area is seeking a hands-on robotics engineer to build robotic cells that reliably assemble products on the factory floor. You will work across manipulation, teleoperation, perception, control, and hardware integration, selecting practical approaches to achieve robust performance.
Your work will focus on turning tasks into repeatable robotic workflows, integrating arms, grippers, cameras, and force sensing; building demonstrations and evaluation workflows;
Infi’s mission is to unlock physical abundance and reindustrialize America by building the Universal Factory: a fully autonomous, general-purpose factory that can turn any design into a finished product.
We are a robotics-native contract manufacturer helping hardware companies scale from prototype to production at our factory in the San Francisco Bay Area. Our initial focus is automated assembly for robots, drones, and other intelligent hardware.
Build robotic cells that reliably assemble products and learn new tasks from human demonstrations. You will work across manipulation, teleoperation, perception, control, and hardware integration, choosing practical approaches for the parts and products we need to build. Your goal is to make these systems work reliably on the factory floor, detect problems, and recover safely.
Turn assembly tasks into repeatable robotic workflows, deciding where manual work, teleoperation, and autonomy make sense.
Integrate and debug arms, grippers, cameras, and force sensing. Develop manipulation behaviors using perception, planning, and contact-aware control.
Build demonstration and evaluation workflows, adapt learned policies where useful, and work with manufacturing on fixtures and task setups.
Improve task success and cycle time using production data, with clear failure recovery, operator intervention, and safe operation.
Hands-on experience building and debugging physical robots or automation systems, with clear ownership beyond a controlled demo.
Depth in manipulation, controls, perception, teleoperation, or robot learning, plus an understanding of calibration, coordinate frames, and kinematics.
Strong Python and C++ programming and debugging skills, or comparable robotics systems experience, in a Linux environment.
Good experimental judgment: isolate failures, measure results, and favor reliable solutions. ROS, force control, imitation learning, VLA models, and end-effector design are useful additional experience.