Autonomy Controls & Robot Learning Engineer

Bedrock Robotics; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Bedrock Robotics in San Francisco is building the first fleet of autonomous construction machines and seeks a Controls and Robot Learning Engineer to advance onboard and offboard autonomy. You will develop control laws for base vehicle and robotic arms, model and simulate large-scale construction robots, and evaluate system dynamics to ensure safe, reliable operation.

Join a team of veterans from Waymo and Segment, tackling real-world, safety-critical challenges with MPC, RL, and advanced

Qualifications

• 5+ years of professional engineering or research experience in control and real-time embedded systems.
• MSc or PhD in Computer Science or Robotics
• Deep understanding of reinforcement learning, imitation learning, and optimization for dynamic systems
• Strong programming skills (C++/Rust, Python)
• Strong data analysis skills
• Experience with safety-critical systems

Responsibilities

• Onboard Control: Develop control laws for the base vehicle and automated arms, utilizing techniques such as MPC, Reinforcement Learning, linear and non linear control, computed torque, vehicle dynamics, and impedance control.
• System Identification and Modeling: Build models that capture the state and control input propagation of complex construction robots like excavators. This involves a deep understanding of the direct and inverse geometry of robot arms (4 to 7 DOFs), vehicle dynamics, and overall system calibration.

Skills

Control systems

Real-time embedded systems

C++/Rust

Python

Data analysis

Safety-critical systems

Education

MSc or PhD in Computer Science or Robotics

Tools

MPC

Pose estimation systems

Hydraulic systems modeling

Job description

Bedrock Robotics in San Francisco is building the first fleet of autonomous construction machines and seeks a Controls and Robot Learning Engineer to advance onboard and offboard autonomy. You will develop control laws for base vehicle and robotic arms, model and simulate large-scale construction robots, and evaluate system dynamics to ensure safe, reliable operation.

Join a team of veterans from Waymo and Segment, tackling real-world, safety-critical challenges with MPC, RL, and advanced