Design and implement off-road motion and trajectory planning for autonomous crewless ATVs. Integrate waypointing, obstacle avoidance, terrain constraints, and real-world control tuning. Validate algorithms in simulation and field tests, set replanning policies, generate speed profiles, and collaborate on sensor/compute integration for robust, drivable paths.
About Foundation:
Foundation is developing the future of general purpose robotics and electric mobility with the goal to save lives and augment human labor.
Our mission is to create an autonomous, crewless ATV built to be truly all-terrain. Designed for commercial and defense use, it can save lives and take on heavy transport across mining, agriculture, construction, and more.
We are on the lookout for extraordinary engineers and scientists to join our team. Your previous experience in robotics isn't a prerequisite — it's your talent and determination that truly count.
We expect that many of our team members will bring diverse perspectives from various industries and fields. We are looking for individuals with a proven record of exceptional ability and a history of creating things that work.
Our Culture:
We like to be frank and honest about who we are, so that people can decide for themselves if this is a culture they resonate with. Please read more about our culture here https://foundation.bot/culture.
Who should join:
- You deeply believe that this is the most important mission for humanity and needs to happen yesterday.
- You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well.
- You care about aesthetics and design inside out. If it's not the best product ever, it bothers you, and you need to “fix” it.
- You don't need someone to motivate you; you get things done.
Why We Are Hiring for This Role:
- 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.
- Collaborate with vehicle engineering to create an integrated system, including sensor/compute selection and integration.
- Implement state-of-the-art approaches to trajectory planning, route planning, and real-time control.
What Kind of Person We Are Looking For:
- Strong background in robotics, controls, or related fields (MSc or equivalent experience).
- Bachelor’s Degree or Master’s Degree candidate in Computer Science, Math, Electrical.
- Hands-on experience with motion planning algorithms.
- Proficiency in ROS2, C++, Python, internal middleware, and point cloud / occupancy representations, map / cost representations.
- 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.
- Understanding of ADAS/AD systems and vehicle dynamics is a plus
Benefits:
- We provide market standard benefits (health, vision, dental, 401k, and equity, etc.). Join us for the culture and the mission, not for the benefits.
Salary:
- The annual compensation is expected to be between $175,000 - $300,000. Exact compensation may vary based on skills and experience.
Foundation Robotics San Francisco, California, USA Office
617 Bryant St, San Francisco, California, United States, 94107
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