Foundation is looking to develop the future of general purpose robotics and electric mobility to save lives and augment human labor by creating an autonomous, crewless ATV for commercial and defense use
Requirements
- Strong background in robotics, controls, or related fields
- Hands-on experience with motion planning algorithms
- Proficiency in ROS2, C++, and Python
- Solid grasp of vehicle dynamics and path-following control
- Comfort with real-world testing and debugging on robotic platforms
- Experience integrating autonomy stacks on real robotic vehicles (not just simulation)
- Strong problem-solving skills with a bias toward practical, field-ready solutions over theory
Responsibilities
- Set short and long term direction for planning architecture and priorities
- Design and implement motion planning algorithms for off-road ATV navigation
- Integrate waypoints, obstacle avoidance, and terrain constraints into safe, drivable paths
- Tune and validate control parameters for robust performance on rough, off-road terrain
- Design test scenarios and evaluate planning algorithms in both simulation and field environments
- Set real-time replanning policies and continuity rules so behavior remains stable as conditions change
- Generate speed profiles from curvature, visibility, slope, and surface quality; respect slow/no-go zones and grade limits
Other
- MSc or equivalent experience
- Proven record of exceptional ability and a history of creating things that work
- Diverse perspectives from various industries and fields
- Talent and determination
- Strong problem-solving skills
