Robotics Controls Engineer - San Francisco, CA

About the role

Pronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field. We are on a mission to make mining operations safer, smarter, and more efficient through cutting-edge technology, and we are building toward becoming the world's first profitable AV technology company.

Responsibilities

• 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.
• What You'll Build
• Localization & State Estimation
• Longitudinal Control
• Lateral Control
• Navigation
• 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

Requirements

• 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
• 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
• Technical Environment
• 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
• Why join us
• 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.
• What else you need to know
• 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.
• Benefits Summary (USA Full-Time Exempt Employees):
• 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
• Benefits are subject to change at the company's discretion.
• Pronto accepts applications on an ongoing basis.
• Ready to join us as we serve those who serve others?
• #LI-Onsite

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