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Controls and Robot Learning Engineer

San Francisco, CA💼 Full-time🗓 2026-08-17 → 2026-09-26

Core

Develop control laws and system models for onboard and offboard autonomy in heavy construction robots.

Role type

Senior IC controls and robot learning engineer

Builds

Autonomous construction machines (excavators) and their control systems

Domain

Construction robotics and autonomous systems

Deliverable

production ML models

Required skills

MPC, Reinforcement Learning, linear and non-linear control, computed torque, vehicle dynamics, impedance control, system identification, robot kinematics (4-7 DOFs), C++, Python, data analysis, safety-critical system design

Preferred skills

RL training pipelines with simulated plant models, MPC for production autonomy, pose estimation, hydraulic system control

Technologies

C++, Rust, Python

Responsibilities

Develop control laws for base vehicles and automated arms; Build state and control input propagation models for complex construction robots; Analyze, evaluate, and simulate system dynamics of 100,000-pound robots

Seniority

Senior, hands-on IC

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