Electrical Solution Engineer – Humanoid Robotics

About this role

NVIDIA accelerates humanoid robots’ development with the Isaac solution and GR00T blueprint. We’re now looking for an Electrical Solution Engineer in Solutions Architecture Team to support this effort. You’ll collaborate with Gear Lab Team known for influential work in multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation, pushing the frontier of humanoid robotics

What you'll be doing: Design, develop, and validate electronics for robotic systems, including motor drivers, sensor interfaces, and embedded systems Design and implement analog and mixed-signal circuits for sensing, including amplification, filtering, and ADC interfacing Develop embedded firmware in C/C++ for real-time control, sensor readout, and system integration Bring up new hardware, debug electrical systems, and validate performance using lab instrumentation (oscilloscope, logic analyzer, current probes, DAQ) Integrate sensors such as encoders, force/torque sensors, tactile sensors, IMUs, and optical systems into robotic platforms Develop motor driver boards for BLDC, DC, and servo motors, including power electronics, gate drivers, and protection circuits Implement low-level motor control algorithms (e.g., FOC, current/torque control, commutation) on MCU platforms Optimize system performance across actuation and sensing, including efficiency, bandwidth, noise, stability, and robustness Collaborate closely with mechanical and robotics teams on actuator and end-effector design, ensuring tight hardware-software co-design Support rapid prototyping, testing, and iteration in a fast-paced hardware development environment Work with vendors on fabrication, assembly, and design for manufacturability and reliability What we need to see: Bachelor’s or master’s degree in electrical engineering or related field Over 3 years of experience of analog and digital circuit design, hands-on experience with PCB design (schematic and layout) using tools such as Altium, KiCad, or s

Apply for this role on NVIDIA’s official careers site.