Electrical Solution Engineer – Humanoid Robotics

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 similar

Experience with embedded systems and MCU-based development (e.g., STM32, TI C2000, NXP)

Proficiency in embedded C/C++ for real-time systems

Experience with motor control systems (BLDC/servo), including FOC or similar techniques and designing sensor interfaces and signal conditioning circuits

Strong hands-on debugging skills with lab equipment

Solid understanding of control systems (position, velocity, torque control)

English: able to work in the English language setting

Ways to stand out from the crowd:

Background with high-performance or high-bandwidth actuation and production reliability

Hands-on experience with tactile sensing systems (capacitive, optical, resistive, vision-based) and encoder calibration

Strong skills in low-noise analog front-end circuit and high-resolution data acquisition design

Proficiency with real-time operating systems like FreeRTOS

Knowledge of communication protocols (CAN, SPI, I2C, UART, EtherCAT, Ethernet, USB)