Bot Auto
Transportation
AutonomyAlgorithmEngineer,Planning&Prediction
Neural analysis suggests this role is
optimal for Mid candidates.
“Autonomy Algorithm Engineer, Planning & Prediction at Bot Auto. Skills: Motion planning, Prediction modeling, Online mapping. Design and ship algorithms for truck movement. Develop motion planning algorithms”
Industry & Context.
Root-cause analysis
What They're Looking For.
Must Have
B. S. or M. S. in Computer Science, Robotics, Electrical Engineering, Applied Math, or equivalent practical experience, 2+ years building production algorithms, C++ and performance-sensitive code ownership, Solid foundation in motion planning, prediction/behavior modeling, or mapping, Shipped algorithms on real hardware or in production
Nice to Have
Experience with learning-based components in planning/prediction, Experience with online/HD mapping, Familiarity with planning–perception interface, Experience in safety-critical software environment, Background in autonomous trucking or highway-speed autonomy
What You'll Do.
Design and ship algorithms for truck movement
Develop motion planning algorithms
Improve behavior algorithms
Build learning-based pipeline
Curate data for models
Design models for prediction
Train models for prediction
Integrate models on-vehicle
Advance online mapping
Build real-time map signals
Perform root-cause analysis
Develop algorithmic fixes
Create regression coverage
Collaborate across teams
Take features from design to release
How You'll Work.
Team & Collaboration
Across perception, control, simulation, operations
Full Job Description
Company Introduction At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a startup and the wisdom of seasoned experts, our team has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create groundbreaking solutions that propel the future of transportation. Join us and transform your ideas into reality. About The Role You will design and ship the algorithms that decide how our trucks move. This spans classical motion planning and behavior, a growing learning-based prediction and planning pipeline, and the online mapping and map-building layer that planning depends on. You will work end to end — from problem framing and algorithm design through implementation, on-vehicle validation, and the cases that come back from the road. This is a hands-on engineering role for someone who wants their work driving real freight on public highways. What You'll Do Develop and improve 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. Required Qualifications B. S. or M. S. in Computer Science, Robotics, Electrical Engineering, Applied Math, or a 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 l
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