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Pronto

Autonomous haulage system retrofit for mining

Senior Robotics Planning Engineer

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • A bachelor's, master's, or doctoral degree in Robotics, Computer Science, or a related field is required.
  • At least 3 years of professional software development experience, excluding internships, is required.
  • A strong foundation in motion-planning algorithms is required.
  • Experience with computational geometry, including collision detection and polygon operations, is required.
  • Proficiency in Python and NumPy for numerical computing is required.
  • Understanding of vehicle kinematics and nonholonomic constraints is required.
  • Ability to analyze algorithm complexity and optimize for real-time performance is required.

Responsibilities

  • Develop high-level autonomy systems coordinating fleets of autonomous haul trucks in mining environments, including path planning, multi-vehicle coordination, and site-level dispatch systems.
  • Develop a motion-planning stack from path planning through trajectory optimization to generate smooth and safe trajectories for heavy trucks.
  • Develop coordination planning systems for multiple vehicles with intersecting trajectories to avoid collisions and maximize throughput.
  • Develop fleet-planning algorithms that translate site-wide state, including loading and dumping locations, into 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 to validate 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 periodically to customer sites, up to 5%.
  • Work with some schedule flexibility during deployments.

Desired Qualifications

  • Experience with multi-agent coordination or scheduling algorithms.
  • Familiarity with Dubins or Reeds-Shepp curves for non-holonomic planning.
  • Background in trajectory optimization, including DCBF or MPC-based planners.
  • Experience with graph algorithms, including Dijkstra and 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 machine-learning techniques for planning problems.

About the Company

Pronto

Autonomous haulage system retrofit for mining

Pronto.ai retrofits heavy mining and quarry equipment with an Autonomous Haulage System (AHS) to operate autonomously in off-road sites. The base version uses a camera and GPS, while a premium multisensor kit adds lidar and radar; a driver teaches a route once and then dispatches are managed via a smartphone app. A safety framework certified to ASIL D is included through its SafeAI integration, and the system is designed to be OEM-agnostic for retrofit on existing machines. Partnerships with Bell Trucks America and Komatsu enable deployments across North America, with the goal of reducing safety risks, lowering operating costs, and boosting productivity in mining and quarry operations.

Company size
201-500
Company stage
Grant
Total funding
$1.3M
Headquarters
San Francisco, CA
Founded
2018

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