Full-Time

Controls Engineer

Gradient Robotics

Gradient Robotics

Robotics for AI infrastructure

No salary listed

San Francisco, CA, USA

In Person

On-site in San Francisco five days per week, and six days per week during crunch time if needed.

Category
Electrical Engineering (2)
,
Required Skills
Rust
Python
C/C++
Requirements
  • Three or more years of controls engineering experience on real electromechanical systems such as robotics, motion systems, or automation.
  • Strong control theory fundamentals, including proportional-integral-derivative control and beyond, system identification, and stability analysis.
  • Hands-on experience tuning motor control and closed-loop motion systems on physical hardware rather than only in simulation.
  • Proficiency in C++ or Rust for real-time control code and Python for analysis and tooling.
  • Experience debugging instability, resonance, latency, sensor noise, and mechanical compliance in control systems.
  • Ability to work on-site in San Francisco five days per week, or six days per week when needed during crunch time.
Responsibilities
  • Design, implement, and tune motor control, trajectory execution, and high-rate feedback loops on real robots.
  • Deliver repeatable sub-millimeter positioning under significant loads and diagnose mechanical, electrical, and software sources of error.
  • Develop force and impedance control strategies for contact-rich robotic tasks involving touching, inserting, and manipulating delicate hardware.
  • Integrate motors, drives, encoders, and force/torque sensors and characterize their real-world behavior.
  • Work with mechanical engineering on drivetrain and stiffness trade-offs, electrical engineering on drives and instrumentation, and software engineering on real-time controller interfaces.
  • Build test procedures that validate controller performance and rapidly iterate on failed tests.
Desired Qualifications
  • Experience with force or impedance control or contact-rich manipulation.
  • Experience with industrial fieldbuses and drives, including EtherCAT, CANopen, and servo-drive commissioning.
  • Experience with precision motion systems such as linear stages, ball screws, or direct-drive systems.
  • Familiarity with real-time Linux and deterministic execution.
  • Ability to use artificial-intelligence tools to increase personal productivity.

Gradient Robotics is a robotics company building physical systems for AI infrastructure. The company develops robots and supporting technology for work in computing and data-center environments. It serves operators and builders of large-scale AI infrastructure. Its operating model centers on hardware, software, controls, testing, and deployment teams developing robotic systems for industrial settings. Teams work across robotics, mechanical and electrical engineering, software, controls, testing, manufacturing, and operations. The organization combines infrastructure robotics expertise with practical delivery for data-center operators.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

Toronto, Canada

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • The company posted nine open roles on July 23, 2026, signaling active buildout.
  • JX Mo said April 7, 2026 it will deploy 100-plus robots to partners in July.
  • Gradient Robotics hired for mechanical, ML, software, electrical, and controls roles in 2026.

What critics are saying

  • Gradient Robotics has no public revenue, customer logos, or product pricing as of July 2026.
  • Its website stays sparse; the company relies on hiring pages and LinkedIn claims.
  • Humanoid robotics remains commercial proof, and a missed factory pilot in 2026 kills momentum.

What makes Gradient Robotics unique

  • Menlo Park team claims end-to-end robotics stack, from hardware to models, in 2026.
  • Gradient Robotics targets industrial autonomy, not consumer robotics, across factories and data centers.
  • Founders Scott Carlson and Jingxiang Mo left K-Scale in September 2025.

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