Senior Robotics Planning Engineer

Transparent Search Group•San Francisco, CA

7d•Onsite

About The Position

Atoms is building the machines that power the next era of progress. Founded by Travis Kalanick after Uber, it consolidates eight years of technology development to bring Physical AI to industries that move civilization forward, across Atoms Food (formerly CloudKitchens), Atoms Mining (formerly Pronto AI, with 100+ autonomous haul trucks in live operation hauling millions of tons) and Atoms Transport. Atoms takes a modular, OEM-agnostic approach, integrating autonomy into existing vehicles and equipment, and has raised $1.25B+. Atoms Mining (formerly Pronto AI) is hiring a Senior Robotics Planning Engineer (5+ years) to build the high-level autonomy systems that coordinate fleets of 200+ ton autonomous haul trucks at mines in the US, Scotland, Saudi Arabia and Brazil. You will make sure trucks navigate smoothly without unnecessary stops and design the path planning and multi-vehicle coordination that directly drive site productivity and safety. You will be one of the first members of a growing planning team, touching motion, coordination and fleet planning from the ground up on real, deployed systems rather than simulations.

Requirements

5-10 years in robotics motion planning engineering using Python and C++
Built path planning or trajectory optimization for robots or autonomous vehicles that runs in production
Strong motion planning fundamentals (including non-holonomic planning)
Proficiency in Python and NumPy for numerical computing
BS/MS/PhD in robotics, computer science or a related field
Comfort with ambiguity and building processes from scratch; schedule flexibility during deployments
Ability to work on-site in San Francisco 5 days a week (relocation OK)

Nice To Haves

Multi-agent coordination or fleet planning systems
Experience at robotics/AV companies (e.g. Waymo, Aurora, Zoox, Nuro)
Master's or PhD in robotics or motion planning
Computational geometry (Shapely, collision detection)

Responsibilities

Develop trajectory and path planning for 200+ ton autonomous haul trucks, minimizing stops caused by unplanned obstacles.
Design intersection management that computes optimal truck sequences to minimize total wait time.
Build coordination planning that manages multiple vehicles with intersecting trajectories, preventing deadlocks and collisions.
Create fleet planning algorithms that turn site-wide state (loading and dumping locations) into managed assignments for each truck.
Validate planning concepts with controls and systems engineers during live deployments.