Senior Robotics Planning Engineer

What You’ll Do

• Develop the high-level autonomy systems that coordinate fleets of autonomous haul trucks in mining environments.
• 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.
• Cordination 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 vehicles.
• Develop multi-agent coordination systems that prevent deadlocks and collisions.
• Build simulation and visualization tools for validating planning algorithms.
• Optimize planning algorithms for real-time performance in production environments.
• Collaborate with controls engineers to ensure planned paths are executable.
• Debug fleet-level issues using logged data and replay tools.
• Travel note: This role requires periodic travel to customer sites (up to 5%).
• Schedule note: Some schedule flexibility may be required during deployments

What We’re Looking For

• BS/MS/PhD in Robotics, Computer Science, or related field required
• 7+ years of professional (non-internship) software development experience
• Strong foundation in motion planning algorithms
• Experience with computational geometry (collision detection, polygon operations)
• Proficiency in Python and NumPy for numerical computing
• Understanding of vehicle kinematics and nonholonomic constraints
• Ability to analyze algorithm complexity and optimize for real-time performance

Preferred Qualifications

• Experience with multi-agent coordination or scheduling algorithms
• Familiarity with Dubins/Reeds-Shepp curves for non-holonomic planning
• Background in trajectory optimization (DCBF, MPC-based planners)
• Experience with graph algorithms (Dijkstra, heuristic search)
• Knowledge of GEOS, Shapely or other computational geometry libraries
• Experience with fleet management or dispatch systems
• Familiarity with Redis, ZeroMQ, or similar infrastructure
• Familiarity with modern ML techniques for planning problems

Technical Environment

• Languages: Python (primary), C++ (performance-critical modules)
• Libraries: NumPy, Shapely, Numba, SciPy
• Testing: Simulation replay, config-driven scenario testing

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 make 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.
• 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.
• 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?