Robotics Planning Engineer – Autonomous Fleet Coordination

Pronto; San Francisco (CA); On-site; USD 119,000 - 161,000; Full time

Benefits offered by this job

Medical, Dental, Vision, Disability, a

Life Insurance

401(k)

Equity

Sick Time & Paid Holidays

Paid Parental Leave

Pre-Tax Commuter Benefit Plan

Team lunch in SoMa office

Job summary

Pronto is seeking a Robotics Planning Engineer to develop high-level autonomy for fleets of autonomous haul trucks in mining environments. You’ll design motion planning, multi-agent coordination, and fleet planning to assign tasks and optimize throughput.

The role requires Python/C++ expertise and a strong background in motion planning. Based in San Francisco, onsite five days a week with opportunities to travel to customers.

Qualifications

• BS/MS/PhD in Robotics, CS, or related field
• 2+ years of professional software development experience
• Strong foundation in motion planning algorithms
• Experience with computational geometry and nonholonomic planning
• Proficiency in Python and NumPy

Responsibilities

• Develop motion planning algorithms for non-holonomic vehicles
• Create multi-agent coordination systems to prevent deadlocks and collisions
• Design and implement fleet planning translating site state to truck assignments
• Build simulation and visualization tools to validate planning algorithms
• Optimize planning algorithms for real-time production performance
• Collaborate with controls engineers to ensure executable paths
• Debug fleet-level issues using logged data and replay tools
• Travel to customer sites up to 5% as needed
• Support deployments with schedule flexibility

Skills

Motion planning algorithms

Collision detection

Python

NumPy

Vehicle kinematics

Algorithm optimization

Education

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

Tools

NumPy

Shapely

SciPy

Numba

Job description

Pronto is seeking a Robotics Planning Engineer to develop high-level autonomy for fleets of autonomous haul trucks in mining environments. You’ll design motion planning, multi-agent coordination, and fleet planning to assign tasks and optimize throughput.

The role requires Python/C++ expertise and a strong background in motion planning. Based in San Francisco, onsite five days a week with opportunities to travel to customers.