Robotics Engineer

About the company

Our client is a well-funded physical AI company bringing autonomy to heavy industry. Its autonomous haul trucks already run in live mining operations, with 100+ trucks moving millions of tons, and it is now scaling into transport. The culture is engineering-first: engineers and engineering leaders make the key decisions.

The role

Raydar is recruiting for this role on behalf of our client. You will design and tune the core control systems that let 200+ ton autonomous haul trucks operate safely in remote, unstructured mining sites, and help scale a fleet that is already in production.

What you'll do

• Design, implement and tune MPC and PID control for autonomous haul trucks across varying payloads and grades
• Build state estimation and localization pipelines fusing GPS/RTK, IMU and other sensors, including handling GPS dropouts
• Analyze performance through field testing on real trucks and log replay, and root-cause control issues
• Work with perception, planning and hardware teams to integrate controls into production vehicles
• Travel periodically (up to 15%) to customer mine sites for deployment, testing and tuning

What we're looking for

• 3 to 10 years in robotics controls engineering
• Hands-on experience with ROS, Linux and MPC (required)
• Strong Python and C++ for production control systems
• State estimation experience (Kalman filters, EKF/UKF, sensor fusion)
• Has deployed localization, lateral/longitudinal control or navigation on real autonomous vehicles
• BS, MS or PhD in Robotics, Mechanical, Aerospace or Electrical Engineering

Tech stack: Python, C++, ROS, Linux, MPC, NumPy, SciPy, NVIDIA Jetson, GPS/RTK, IMU, CAN bus, EKF/UKF

Bonus points

• Autonomous mining experience
• Autonomous vehicle experience at a leading AV company
• MS or PhD in a controls-related discipline

Compensation and benefits

• $170K-$220K base
• Competitive equity and benefits
• Relocation support and visa sponsorship available

Location and work model

• San Francisco, CA
• On-site 5 days a week
• Full-time