Controls and Robot Learning Engineer
Bedrock Robotics · San Francisco, CA
About this role
## Controls and Robot Learning Engineer **JOIN THE TEAM BRINGING ADVANCED AUTONOMY TO THE BUILT WORLD** At Bedrock, we’re moving AI out of the lab and into the real world—deploying autonomous systems on heavy construction equipment across the country to improve safety and accelerate critical infrastructure schedules. We’re building our first fleet of autonomous construction machines and are seeking a **Controls and Robot Learning Engineer** to help develop key components of our onboard and offboard autonomy system. --- ### What You’ll Do - **Onboard Control:** Develop control laws for the base vehicle and automated arms using techniques such as **MPC**, **Reinforcement Learning**, linear/nonlinear control, computed torque, vehicle dynamics, and impedance control. - **System Identification & Modeling:** Build models that capture state and control input propagation for complex construction robots (e.g., excavators). This includes deep understanding of **direct/inverse geometry** of robot arms (**4–7 DOFs**), vehicle dynamics, and system calibration. --- ### What We’re Looking For - **5+ years** 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 - Experience with **machine learning training pipelines**, especially RL (e.g., using learned/simulated plant models) - Practical application of **RL** or **MPC** for control algorithms in production autonomy environments - Experience working with **pose estimation** systems - Experience controlling and modeling **hydraulic systems** --- **Bedrock Robotics is an Equal Opportunity Employer.** We’re committed to building a diverse and inclusive workplace and consider all qualified applicants without regard to protected characteristics. **Reasonable Accommodations:** If you need an accommodation during the application or interview process, let your recruiter know so we can support you.
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