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Tier-1 brand but highly specialized robotics autonomy domain reduces applicant density.
High domain specificity to robotics, vehicle dynamics, and autonomy limits cross-industry transferability.
Requires deep autonomy domain expertise, production C++, and robotics experience, so filters are strict.
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Design and develop navigation and terrain planning algorithms for autonomous heavy machinery, including path planning, obstacle avoidance, and terrain interaction decisions.
Develop and deploy production-quality C++ software libraries supporting long-horizon planning and motion control for autonomous construction equipment.
Lead simulation and field testing of path planning algorithms on construction equipment to ensure safety and operational efficiency.
Bachelor's or Master's degree in Robotics, Computer Science, or related engineering field.
Strong knowledge of path and motion planning algorithms including A*, RRT, and graph search.
Proficiency in C++ and/or Python for real-time robotics applications.
Experience with autonomous ground vehicles, mobile robots, or off-road navigation.
Experienced engineer with hands-on expertise in autonomous navigation for heavy or off-highway equipment.
Skilled in developing reusable, modular software libraries with clean interfaces for production use.
Capable of working at the intersection of robotics algorithm design, simulation, and real-world field testing in dynamic, construction-focused environments.