Controls Engineer

Physical Intelligence
San Francisco
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Python","C++","Real-time control","Embedded systems","CAN","SPI","I2C","Ethernet"]

Design and implement model-based control algorithms for PI’s robots, develop real-time control loops, and bring-up robotic systems end-to-end, collaborating with researchers, hardware, and operators to ensure stable, real-world performance in uncertain environments.

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FursaFursa
Physical Intelligence
Physical Intelligence
7 months ago

Controls Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Design and implement model-based control algorithms for PI’s robots, develop real-time control loops, and bring-up robotic systems end-to-end, collaborating with researchers, hardware, and operators to ensure stable, real-world performance in uncertain environments.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •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.

Key Requirements

  • •Deep understanding of model-based control algorithms and inverse dynamics.
  • •Proficiency in Python and C++, including firmware-adjacent development.
  • •Ability to validate control approaches in simulation and translate them to real hardware.
  • •Skill in writing and tuning real-time control loops.
  • •Hands-on capability to debug electromechanical systems end-to-end.
Experience:RoboticsControl systemsEmbedded
Skills:PythonC++Real-time controlEmbedded systemsCANSPII2CEthernet
Tech Stack:PythonC++CANSPII2CEthernetFirmwareEmbedded

Company Brief

Physical Intelligence
Develops large-scale AI models and learning algorithms to enable general-purpose intelligence for robots and physically-actuated devices, aiming to power a wide range of real-world robotic tasks and applications.
Industry: Robotics
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2024
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Glassdoor: 4.1
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