AI Hardware Engineer / Robotics

Job Description About The Role We're supporting our client who is building next-generation humanoid robots from the ground up - custom silicon, actuators, and the AI stack that runs on them. This role sits at the intersection of hardware and AI, where your decisions directly shape what the robot can perceive and do at the edge.What You'll DoDesign and develop custom AI inference hardware to run neural networks on-robot with maximum performance-per-wattArchitect and validate hardware components powering perception, locomotion, and manipulation pipelinesCollaborate with ML and firmware teams to co-design silicon architecture that meets real-time robotics constraintsPerform floor-planning, timing, and power analyses across the hardware design stackWrite robust verification tests and scoreboards to validate functionality and performanceImplement low-level drivers and communication interfaces focused on performance optimization and fault toleranceDrive hardware bring-up and field debugging across prototypes through productionWhat You'll BringBS/MS/PhD in Electrical Engineering, Computer Engineering, or related field5+ years of experience in AI/ML accelerator or embedded systems hardware designProficiency in RTL design (Verilog / SystemVerilog) and hardware verification methodologiesFamiliarity with deploying neural networks on custom or edge acceleratorsStrong understanding of performance-power trade-offs in constrained compute environmentsExperience with sensor integration (cameras, IMUs, proprioception) preferredPrior work on robotics, autonomous vehicles, or embedded AI hardware is a strong plus