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Pronto · 14 hours ago

Robotics Planning Engineer

San Francisco, CA

Full-time

Onsite

Entry, Mid Level

2+ years exp

Pronto is a leader in commercializing Autonomous Vehicle technology, specializing in off-road applications. They are seeking a Robotics Planning Engineer to develop high-level autonomy systems for coordinating fleets of autonomous haul trucks in mining environments, focusing on path planning and multi-vehicle coordination.

Computer Software

Work & Life Balance

H1B Sponsor Likely

Responsibilities

Design and implement motion planning algorithms for nonholonomic 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

Qualification

Motion planning algorithmsComputational geometryPythonVehicle kinematicsMulti-agent coordinationTrajectory optimizationGraph algorithmsFleet managementRedisModern ML techniques

Required

BS/MS/PhD in Robotics, Computer Science, or related field

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

Experience with multi-agent coordination or scheduling algorithms

Familiarity with Dubins/Reeds-Shepp curves for nonholonomic 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

Company

Pronto

Pronto delivers off-road autonomous haulage systems specifically engineered for a variety of rugged and industrial environments.

Founded in 2018

San Francisco, California, USA

11-50 employees

https://pronto.ai/

H1B Sponsorship

Pronto has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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2024 (1)

2020 (1)