Robotics Planning Engineer
US$119,000 – US$161,000 / yr base salary
Posted 5 Jun 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 2+ yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$119,000 – US$161,000 / yr |
|---|
Field of studyComputer Science, Robotics (or related)
Study levelBachelor's or higher
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