Robotics Planning Engineer

About the role

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 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 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

- 2+ 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)