Controls Engineer

Physical Intelligence is seeking a Controls Engineer to design and implement algorithms for their robots to behave predictably, smoothly, and safely. The role involves working with the Controls team to build and tune core feedback and model-based algorithms, real-time loops, simulations, and actuator/sensor subsystems.

Requirements

• Design & implement control algorithms: PID, LQR, MPC, inverse dynamics, and feedforward controllers.
• Build & validate models: Create and refine physical and inverse dynamics models for simulation and control design.
• Develop real-time loops: Write and optimize runtime control loops, including neural-network-driven control.
• Own robotic bring-up: Integrate and tune arms, mobile bases, teleop systems, and full-body platforms.
• Debug complex system behaviors: Diagnose and resolve hardware/software/runtime issues using first-principles reasoning.
• Build sensor/actuator subsystems: Work with embedded systems, drivers, and communication protocols (CAN, SPI, I2C, Ethernet).
• Partner cross-functionally: Work with researchers, platform engineers, and operators to ensure stable, predictable real-world behavior.
• Support R&D: Prototype configurations, collect structured datasets, and iterate directly with researchers.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Health Insurance
• Paid Holidays