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Tier-1 brand and metro location but niche robotics specialization yields moderate competition.
Role requires specialized autonomy and vehicle-control experience, limiting cross-industry transferability.
Requires specialized robotics expertise (C++, ROS2, planning, vehicle integration), so strict technical filtering.
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Design and develop navigation, motion, and terrain planning algorithms enabling autonomous machine operations such as driving, digging, and dumping.
Own the full software lifecycle for path planning systems, including algorithm design, production-level coding in C++, simulation testing, and integration with vehicle controls.
Build reusable planning libraries and optimize obstacle avoidance and path tracking for off-road autonomous machines.
Bachelor's or Master's degree in Robotics, Computer Science, or related engineering field.
Strong knowledge of motion and path planning methods including A*, RRT, and graph search algorithms.
Proficiency in C++ and/or Python for real-time robotics software development.
Experience with autonomous ground vehicles, mobile robots, or off-road navigation.
Experienced in building modular, reusable software libraries with clean interfaces for robotics or automation.
Familiarity with kinematics, dynamics, and control for precise path tracking in autonomous machines.
Background in or exposure to off-highway heavy equipment autonomy, terrain interaction prediction, and ROS-based simulation and testing.