Autonomy Planning & Prediction Engineer — On-Vehicle Impact

Bot Auto; San Francisco (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Bot Auto in San Francisco, CA seeks an engineering-minded professional to design and ship algorithms that decide how autonomous trucks move. You will work end-to-end—from problem framing and algorithm design to implementation, on-vehicle validation, and handling road-reported cases.

The role covers motion planning, a learning-based prediction/planning pipeline, and online mapping. Join a hands-on team delivering real freight solutions on public highways.

Qualifications

• B.S. or M.S. in CS/Robotics, Electrical Engineering, Applied Math, or related field, or equivalent practical experience.
• 2+ years building production algorithms in robotics, autonomous vehicles, or a comparable real-time system.
• Strong C++ and Python; comfortable owning performance-sensitive code that runs on-vehicle.
• Solid foundation in at least one of: motion planning and optimization, prediction/behavior modeling, or mapping.
• Track record of shipping algorithms that ran on real hardware or in production, not only in research or simulation.

Responsibilities

• Develop and ship motion planning and behavior algorithms for highway and surface-street driving.
• Build the learning-based pipeline for prediction and planning: data curation, model design and training, and integration on-vehicle.
• Advance online mapping and map-building, and the real-time map signals that planning consumes.
• Turn road and simulation cases into root-cause analysis, algorithmic fixes, and regression coverage that prevents recurrence.
• Collaborate across perception, control, simulation, and operations to take features from design through validated release.

Skills

C++

Python

Motion planning

Prediction/behavior modeling

Mapping

On-vehicle systems

Education

B.S. or M.S. in CS/Robotics/Electrical Eng./Applied Math or related field

Job description

Bot Auto in San Francisco, CA seeks an engineering-minded professional to design and ship algorithms that decide how autonomous trucks move. You will work end-to-end—from problem framing and algorithm design to implementation, on-vehicle validation, and handling road-reported cases.

The role covers motion planning, a learning-based prediction/planning pipeline, and online mapping. Join a hands-on team delivering real freight solutions on public highways.