Hiring: Controls and Robot Learning Engineer Company: Bedrock Robotics Location: San Francisco, CA Job Posted Time: 2026-09-02 18:04:08 Target Skills & Keywords : C++, HBase, Linear, Machine Learning, Python, Reinforcement Learning, Rust, Segment About the job Experience: •5+ years of professional engineering or research experience in control and real-time embedded systems Required Skills: •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. •What We're Looking For •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 •Ways to Stand Out from the Crowd •Experience with machine learning training pipelines, especially reinforcement learning (RL) using learned or simulated plant models •Practical application of RL or model predictive control (MPC) for control algorithms in production autonomy environments •Experience working with pose estimation systems •Experience with controlling and modeling hydraulic systems •Bedrock Robotics Compensation: •$3 •$5 •$350 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!