Autonomy Algorithm Engineer, Planning & Prediction at Bot Auto

<div class="mt-8 text-xl text-gray-600 leading-8"> <div data-controller="rich-text"> <div class="rich-text-container" data-rich-text-target="richTextContainer"> <h3><strong>Company Introduction</strong></h3> <p>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.</p> <h3><strong>About The Role</strong></h3> <p>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.</p> <h3><strong>What You'll Do</strong></h3> <ul> <li>Develop and improve motion planning and behavior algorithms for highway and surface-street driving.</li> <li>Build the learning-based pipeline for prediction and planning: data curation, model design and training, and integration on-vehicle.</li> <li>Advance online mapping and map-building, and the real-time map signals that planning consumes.</li> <li>Turn road and simulation cases into root-cause analysis, algorithmic fixes, and regression coverage that prevents recurrence.</li> <li>Collaborate across perception, control, simulation, and operations to take features from design through validated release.</li> </ul> <h3><strong>Required Qualifications</strong></h3> <ul> <li>B.S. or M.S. in Computer Science, Robotics, Electrical Engineering, Applied Math, or a related field, or equivalent practical experience.</li> <li>2+ years building production algorithms in robotics, autonomous vehicles, or a comparable real-time system.</li> <li>Strong C++ and Python; comfortable owning performance-sensitive code that runs on-vehicle.</li> <li>Solid foundation in at least one of: motion planning and optimization, prediction/behavior modeling, or mapping.</li> <li>A track record of shipping algorithms that ran on real hardware or in production, not only in research or simulation.</li> </ul> <h3><strong>Preferred Qualifications</strong></h3> <ul> <li>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).</li> <li>Experience with online/HD mapping, reference-line or lane-graph generation.</li> <li>Familiarity with the planning–perception interface: uncertainty representation, occlusion reasoning, safety and liability evaluation, and agent modeling.</li> <li>Experience operating in a safety-critical or heavily validated software environment.</li> <li>Background in autonomous trucking or highway-speed autonomy.</li> </ul> </div> </div> </div>