Robotics Controls Engineer - San Francisco, CA

United States·San Franciscomid

OtherControls Engineer

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Quick Summary

Key Responsibilities

This role requires periodic travel to customer sites (up to 15%) Schedule note: Some schedule flexibility may be required during deployments What we’re looking for BS/MS/PhD in Robotics,

Requirements Summary

Python (primary), C++ (optimization-

Technical Tools

OtherControls Engineer

Responsibilities

~1 min read

We're looking for a Robotics Controls Engineer to develop and maintain the core control systems that enable autonomous haul trucks to operate safely in mining environments. You'll work on localization, path following, longitudinal control, and steering systems that run on 200+ ton vehicles.

→Design, implement, and tune control algorithms for autonomous vehicle systems
→Develop state estimation pipelines that fuse multiple sensor modalities
→Analyze system performance through simulation and field testing
→Debug control issues using logged data and identify root causes
→Collaborate with perception, planning, and hardware teams to integrate control systems
→Write production-quality Python code that runs reliably and efficiently
→Travel note: This role requires periodic travel to customer sites (up to 15%)
→Schedule note: Some schedule flexibility may be required during deployments

Localization & State Estimation
Longitudinal Control
Lateral Control
Navigation

BS/MS/PhD in Robotics, Mechanical Engineering, Aerospace Engineering, Electrical Engineering or related field
2+ years of professional (non-internship) software development experience
Strong foundation in classical control theory (PID, lead/lag compensation, stability analysis)
Experience with state estimation (Kalman filters, EKF/UKF)
Proficiency in Python and NumPy/SciPy for numerical computing
Understanding of vehicle dynamics and kinematics
Ability to read and debug real-time control code
Experience deploying localization and controls algorithms on real-world systems

Requirements

~1 min read

Experience with Model Predictive Control (MPC)
Familiarity with path following algorithms (Stanley, Pure Pursuit)
Background in signal processing and filter design
Knowledge of system identification techniques
Experience with heavy equipment or off-highway vehicles
Knowledge of CAN bus and vehicle interfaces
ROS or similar robotics middleware experience
Familiarity with modern ML techniques for controls problems

Languages: Python (primary), C++ (optimization-critical paths)
Libraries: NumPy, SciPy
Hardware: NVIDIA Jetson, GPS/RTK, IMUs, CAN interfaces
Testing: Field testing on haul trucks, log replay, simulation

What We Offer

~1 min read

✓Work on real, production-deployed autonomy.

✓Build technology that directly improves safety, efficiency, and productivity.

✓Tackle complex challenges in demanding, real-world environments.

✓Be part of a fast-moving team with high ownership and impact.

✓See your work deployed and making a difference in the field.

✓Collaborate closely with experienced engineers and industry operators.

✓Medical, Dental, Vision, Disability, and Life Insurance

✓Flexible Spending Account / Health Savings Account Options

✓401(k)

✓Equity

✓Sick Time, Unlimited Flexible Time Off, and Paid Holidays

✓Paid Parental Leave

✓Pre-Tax Commuter Benefit Plan

✓Team lunch in our SoMa office every Tuesday and Thursday

This role is based in our San Francisco office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week.

The base salary range for this role is $182,000 - $230,000 per year.

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.

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