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Pronto — San Francisco
Who We Are
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.
What You’Ll Do
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.
Responsibilities
include the following: Design, implement, and tune control algorithms for autonomous vehicle systems Build Localization & State Estimation, Longitudinal Control, Lateral and Control Navigation.
What We’Re Looking For
BS/MS/PhD in Robotics, Mechanical Engineering, Aerospace Engineering, Electrical Engineering or related field required 7+ 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
will be determined on an individual basis and may vary depending on experience, skills, and
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 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 $176,000 - $240,000 per year.
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, Denta