Controls Engineer at Gradient Robotics | San Francisco, California, US | Rezi

Controls Engineer at Gradient Robotics

Controls Engineer

Gradient Robotics · San Francisco, California, US

1 weeks ago

Controls Engineer

Gradient Robotics · San Francisco, California, US

7 days ago
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About the Role

Own motion from command to actuator by designing and tuning control loops for sub-millimeter precision work under real load. Collaborate with mechanical, electrical, and software teams to create a deterministic system, with fast iteration cycles allowing controllers to be implemented on hardware quickly.

Responsibilities

  • Own the control stack: design, implement, and tune motor control, trajectory execution, and high-rate feedback loops on real robots.
  • Own precision motion: deliver repeatable, sub-millimeter positioning under significant loads, and diagnose the mechanical, electrical, and software sources of error.
  • Own force and contact control: develop force/impedance control strategies for tasks involving delicate hardware manipulation.
  • Own actuator and sensor integration: bring up motors, drives, encoders, and force/torque sensors, and characterize their real-world behavior.
  • Partner across the stack: collaborate with mechanical, electrical, and software teams on drivetrain, stiffness, drives, instrumentation, and real-time interfaces.
  • Validate and iterate fast: build test procedures to prove controller performance and rapidly iterate on controller revisions.

Requirements

  • 3+ years of controls engineering experience on real electromechanical systems (robotics, motion systems, automation, or similar).
  • Strong control theory fundamentals: PID and beyond, system identification, stability analysis, and judgment for simple control solutions.
  • Hands-on experience tuning motor control and closed-loop motion systems on physical hardware.
  • Proficiency in C++ or Rust for real-time control code, and Python for analysis and tooling.
  • Experience debugging control problems in the wild: instability, resonance, latency, sensor noise, and mechanical compliance.
  • Comfort with ambiguity and a strong build-and-test instinct.
  • Able to work on-site in San Francisco 5 days/week (6 days/week if needed during crunch time).

Skills

  • Motor control
  • Trajectory execution
  • Force control
  • Impedance control
  • Sensor feedback
  • C++
  • Rust
  • Python
  • PID control
  • System identification
  • Stability analysis
  • Real-time control
  • Debugging
  • Mechanical integration
  • Electrical integration
  • Software integration

Location

  • San Francisco

Work Type

  • On-site

Experience Level

  • 3+ years