Controls and Robot Learning Engineer

What you'll do

• Develop control laws for base vehicles and automated arms using methods such as MPC, reinforcement learning, and linear and nonlinear control.
• Build models of construction robots’ state and control-input propagation, including robot-arm geometry, vehicle dynamics, and system calibration.
• Analyze, evaluate, and simulate the dynamics of complex construction robots.

What they ask for

• MSc or PhD in Computer Science or Robotics.
• Deep understanding of reinforcement learning, imitation learning, and optimization for dynamic systems.
• Strong programming skills in C++/Rust and Python.
• Strong data analysis skills and experience with safety-critical systems.

Nice to have

• Experience with machine-learning training pipelines, especially reinforcement learning using learned or simulated plant models.
• Production autonomy experience applying RL or MPC; experience with pose estimation or hydraulic systems.

Tools

MPC, Reinforcement Learning, C++/Rust, Python

AI focus

Uses reinforcement learning and imitation learning for robot control and autonomy; may involve training pipelines with learned or simulated plant models.