Staff Engineer Physical AI Systems
Core
Develop and validate Physical AI systems models and dataflow for humanoid and industrial robotics, combining hands-on design, virtual modeling, and algorithm-hardware co-design.
Role type
Staff Engineer, Physical AI Systems
Builds
Humanoid and industrial robotic systems with integrated hardware, perception, planning, and control workflows.
Domain
Robotics, Physical AI, Embedded Systems, Semiconductor
Deliverable
production ML models
Required skills
Kinematics and dynamics, Learning-based robotics (foundation models, VLA, imitation, RL), Physics-based simulation (NVIDIA Isaac Sim, MuJoCo), Mechanical CAD and PCB design, Embedded C/C++ development, Electromechanical integration, Sim-to-real transfer validation, System-level power and latency analysis
Preferred skills
Neuromorphic and in-memory computing, Digital ASIC design and verification, PhD in relevant field
Technologies
NVIDIA Isaac Sim, MuJoCo, Python, C/C++, PCB design tools
Responsibilities
Translate requirements into hardware, mechanical, compute, and software design choices; Design, prototype, and validate humanoid hardware subsystems including articulated hands and arms; Develop learning-based perception, planning, and control workflows; Maintain virtual system models and robotics infrastructure; Evaluate and prototype ultra-low-power computing approaches; Apply best practices for reproducible simulation and sim-to-real transfer; Analyze system-level trade-offs in power, energy, latency, and thermal behavior.
Seniority
Staff, hands-on IC with specialized depth
