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Bedrock Robotics

Robot type
Construction
Location
San FranciscoCaliforniaUSA
Job type
Artificial Intelligence
Posted
Aug 17, 2026
Full-time

Controls and Robot Learning Engineer

Job description

At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects. We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction. This is where algorithms meet steel-toed boots.

We are building our first fleet of autonomous construction…

Job 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…
  • System Identification and Modeling: Build models that capture the state and control input propagation of complex construction robots like excavators.

Job requirements

  • 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
Apply on Bedrock Robotics websiteSave

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