Who we arePronto 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 doWe're looking for a Robotics Planning Engineer to develop the high‑level autonomy systems that coordinate fleets of autonomous haul trucks in mining environments. You'll work on path planning, multi‑vehicle coordination, and dispatch systems that operate at the site level — deciding where trucks go, when they go, and how they interact with each other.Motion planning – A robust stack, from path planning to trajectory optimization, to generate smooth and safe trajectories for 200+ ton trucks to follow.Coordination planning – Systems to simultaneously coordinate the motion of multiple vehicles with intersecting trajectories to avoid collision and maximize throughput.Fleet planning – Algorithms that dynamically translate the site‑wide state, like loading and dumping locations, to actively managed assignments for each truck.Design and implement motion planning algorithms for non‑holonomic vehiclesDevelop multi‑agent coordination systems that prevent deadlocks and collisionsBuild simulation and visualization tools for validating planning algorithmsOptimize planning algorithms for real‑time performance in production environmentsCollaborate with controls engineers to ensure planned paths are executableDebug fleet‑level issues using logged data and replay toolsTravel note: This role requires periodic travel to customer sites (up to 5%)Schedule note: Some schedule flexibility may be required during deploymentsWhat we're looking forBS/MS/PhD in Robotics, Computer Science, or related field required2+ years of professional (non‑internship) software development experienceStrong foundation in motion planning algorithmsExperience with computational geometry (collision detection, polygon operations)Proficiency in Python and NumPy for numerical computingUnderstanding of vehicle kinematics and nonholonomic constraintsAbility to analyze algorithm complexity and optimize for real‑time performancePreferred QualificationsExperience with multi‑agent coordination or scheduling algorithmsFamiliarity with Dubins/Reeds‑Shepp curves for non‑holonomic planningBackground in trajectory optimization (DCBF, MPC‑based planners)Experience with graph algorithms (Dijkstra, heuristic search)Knowledge of GEOS, Shapely or other computational geometry librariesExperience with fleet management or dispatch systemsFamiliarity with Redis, ZeroMQ, or similar infrastructureFamiliarity with modern ML techniques for planning problemsTechnical EnvironmentLanguages: Python (primary), C++ (performance‑critical modules)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.LocationThis role is based in our San Francisco office location. All office‑based teams work onsite, five days a week.CompensationBase salary range: $182,000 – $230,000 per year, determined on an individual basis. 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 HolidaysTeam lunch in our SoMa office every Tuesday and ThursdayBenefits are subject to change at the company's discretion.As set forth in ATOMS Careers page's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.#J-18808-Ljbffr