Autonomous Construction Controls & Robot Learning Engineer

Doist; San Francisco (CA); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Bedrock is building the first fleet of autonomous construction machines and seeks a Controls and Robot Learning Engineer to advance onboard and offboard autonomy systems. You will create models for onboard controls and analyze the system dynamics of large construction robots.

Ideal candidates have 5+ years in control and real-time embedded systems, a MSc/PhD in CS or Robotics, and strong skills in C++/Rust and Python, with experience in RL, MPC, and safety-critical contexts.

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.

Responsibilities

• Onboard Control: Develop control laws for the base vehicle and automated arms, utilizing MPC, RL, linear and nonlinear 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 and calibrate the system.
• Analyze and simulate the dynamics of 100,000-pound construction robots.

Skills

Control systems

Real-time embedded

C++/Rust

Python

Data analysis

Safety-critical

Education

MSc or PhD in Computer Science or Robotics

Tools

ROS

Job description

Bedrock is building the first fleet of autonomous construction machines and seeks a Controls and Robot Learning Engineer to advance onboard and offboard autonomy systems. You will create models for onboard controls and analyze the system dynamics of large construction robots.

Ideal candidates have 5+ years in control and real-time embedded systems, a MSc/PhD in CS or Robotics, and strong skills in C++/Rust and Python, with experience in RL, MPC, and safety-critical contexts.