Robotics Controls Engineer

Robotics Controls EngineerSan Francisco, CAPronto 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. 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.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 systemsBuild Localization & State Estimation, Longitudinal Control, Lateral and Control Navigation.Develop state estimation pipelines that fuse multiple sensor modalitiesAnalyze system performance through simulation and field testingDebug control issues using logged data and identify root causesCollaborate with perception, planning, and hardware teams to integrate control systemsWrite production-quality Python code that runs reliably and efficientlyThis role requires periodic travel to customer sites (up to 15%)Some schedule flexibility may be required during deploymentsWhat we're looking for:BS/MS/PhD in Robotics, Mechanical Engineering, Aerospace Engineering, Electrical Engineering or related field required2+ years of professional (non-internship) software development experienceStrong 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 computingUnderstanding of vehicle dynamics and kinematicsAbility to read and debug real-time control codeExperience deploying localization and controls algorithms on real-world systemsExperience with Model Predictive Control (MPC)Familiarity with path following algorithms (Stanley, Pure Pursuit)Background in signal processing and filter designKnowledge of system identification techniquesExperience with heavy equipment or off-highway vehiclesKnowledge of CAN bus and vehicle interfacesROS or similar robotics middleware experienceFamiliarity with modern ML techniques for controls problemsTechnical Environment:Languages: Python (primary), C++ (optimization-critical paths)Libraries: NumPy, SciPyHardware: NVIDIA Jetson, GPS/RTK, IMUs, CAN interfacesTesting: Field testing on haul trucks, log replay, simulationWhy 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.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 $119,000 - $161,000 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 InsuranceFlexible Spending Account / Health Savings Account Options401(k)EquitySick Time, Unlimited Flexible Time Off, and Paid HolidaysPaid Parental LeavePre-Tax Commuter Benefit PlanTeam lunch in our SoMa office every Tuesday and ThursdayBenefits are subject to change at the company's discretion. Pronto accepts applications on an ongoing basis.