Staff Robotics Engineer

The JAM l People in Robotics; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

The JAM l People in Robotics is hiring a Robotics Controls Engineer in San Francisco to advance the core control systems behind autonomous mining and logistics vehicles. You will work on MPC/PID control, lateral/longitudinal vehicle control, and state estimation, deploying on real autonomous trucks in production environments.

Candidates should have 6+ years in robotics controls, strong Python and C++, and hands-on ROS/Linux experience, with a background in autonomous vehicles or relevant heavy

Qualifications

• 6+ years in robotics controls / autonomous systems.
• Strong Python and C++ proficiency.
• Hands-on ROS and Linux experience.
• Experience deploying controls/localization/navigation on real autonomous vehicles.
• BS/MS/PhD in Robotics, Mechanical, Aerospace, Electrical Eng or related.
• Comfortable in a fast-paced production environment.

Responsibilities

• Develop and improve core control systems for autonomous vehicles.
• Work on MPC/PID style control and vehicle dynamics.
• Integrate localization/state estimation and Kalman filtering.
• Field test, log replay, and root-cause analysis on real vehicles.
• Collaborate across teams to ship production-ready solutions.

Skills

Python

C++

ROS

Linux

Localization

Navigation

Control systems

Real-world deployment

Education

BS/MS/PhD in Robotics or related

Tools

CAN Bus

Linux

Job description

I’m working with a fast-growing autonomous driving and Physical AI business that is building and deploying large-scale autonomous vehicle systems in real industrial environments.

They are looking for a Robotics Controls Engineer with 3+ years of experience to work on the core control systems behind autonomous haul trucks operating in mining environments.

This is not a research-only role. The systems are already deployed in production, with more than 100 autonomous trucks operating today, and the team is looking for engineers who can help improve performance, reliability and scale.

You’ll work across areas including:

• Model Predictive Control (MPC) and PID
• Lateral and longitudinal vehicle control
• Path following and steering control
• Localization and state estimation
• Kalman Filters, EKF and UKF
• Vehicle dynamics across different payloads and terrain
• Field testing, log replay and root-cause analysis
• Production Python and C++
• ROS and Linux
• CAN Bus and vehicle interfaces

The strongest candidates will have experience deploying controls, localization or navigation systems onto real autonomous vehicles, rather than purely working in simulation or academia.

Experience in autonomous mining, heavy equipment or off-highway autonomy would be particularly valuable, but strong autonomous vehicle backgrounds are also very relevant.

What they’re looking for

• 6+ years in robotics controls / autonomous systems
• Strong Python and C++
• Hands-on ROS and Linux experience
• Experience with real-world autonomous vehicle deployment
• BS/MS/PhD in Robotics, Mechanical, Aerospace, Electrical Engineering or similar
• Comfortable working in a fast-paced engineering environment where systems are shipped into production

San Francisco – 5 days onsite

If you’ve worked on controls, localization, state estimation or vehicle dynamics for autonomous systems, I’d be very keen to speak.

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