Gradientrobotics
Controls Engineer
San Francisco
Sponsorship not specifiedDetected 10 days ago
PythonRustC++Full-Stack DevelopmentLinuxRoboticsSensorsControls
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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- You'll work tightly with mechanical, electrical, and software to make the whole machine behave as one deterministic system.
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 that get in the way
- Own force and contact control: develop force/impedance control strategies for tasks where the robot touches, inserts, and manipulates delicate hardware
- Own actuator and sensor integration: bring up motors, drives, encoders, and force/torque sensors, and characterize their real-world behavior
- Partner across the stack: work with mechanical on drivetrain and stiffness trade-offs, electrical on drives and instrumentation, and software on the real-time interfaces your controllers run on
- Validate and iterate fast: build test procedures that prove controller performance, and turn a failed test into a tuned revision the same week
- Comfort with ambiguity and a strong build-and-test instinct
- Own the control stack:
Requirements
- 3+ years of controls engineering experience on real electromechanical systems (robotics, motion systems, automation, or similar)
- Hands-on experience tuning motor control and closed-loop motion systems on physical hardware, not just in simulation
Nice to have
- Force/impedance control or contact-rich manipulation experience
- Experience with precision motion systems: linear stages, ball screws, direct drive, or similar
- Familiarity with real-time Linux and deterministic execution
- Proficiency in C++ or Rust for real-time control code, plus Python for analysis and tooling
Company info
- The datacenter buildout is the largest industrial project in human history.
- Gradient builds the autonomous robots that make it possible.
- Partnered with the world's largest AI infrastructure companies and backed by the industry's best investors, we move fast and build full-stack systems that matter.
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