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Full-time
bachelor degree, postgraduate degree
Posted 9d ago
~40 hrs/week
Responsibilities
Design and implement algorithms for motion planning, behavior, and online mapping for autonomous trucks. Collaborate across teams to take features from design through on-vehicle validation and production release.
Requirements
Requires a degree in Computer Science, Robotics, or a related field with 2+ years of experience building production algorithms for robotics or real-time systems. Proficiency in C++ and Python is essential, along with a track record of shipping algorithms on real hardware.
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 least one of: motion planning and optimization, prediction/behavior modeling, or mapping.
A track record of shipping algorithms that ran on real hardware or in production, not only in research or simulation.
Preferred Qualifications
Experience with learning-based components in a planning or prediction stack (sequence/trajectory models, imitation or reinforcement learning, model training and deployment pipelines, GPU inference in a real-time loop).
Experience with online/HD mapping, reference-line or lane-graph generation.
Familiarity with the planning–perception interface: uncertainty representation, occlusion reasoning, safety and liability evaluation, and agent modeling.
Experience operating in a safety-critical or heavily validated software environment.
Background in autonomous trucking or highway-speed autonomy.
Bot Auto runs autonomous trucks out of Houston, Texas. We sell the capacity, not the technology.
We own the trucks, the safety case, and the operation end to end.
Our team pairs trucking operators who've run real fleets with the engineers building the technology because commercializing this industry takes both. We're not chasing a demo. We're building the freight network the industry actually needs.
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