- Foundation
- San Francisco, CA
- Full-Time
- 52 days ago
- $150,000 – $195,000
Planning Engineer.
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Planning Engineer: our view in 3 lines...
- The Role:This role is for a technical engineer working on motion planning and autonomy for off-road ATV navigation.
- The Person:The person will design and implement motion planning algorithms, integrate waypoint and obstacle avoidance logic, tune control parameters, run simulation and field tests, and work on real-time replanning and vehicle system integration.
- Requirements:The ideal candidate has a strong background in robotics or controls, hands-on experience with motion planning algorithms, and proficiency in ROS2, C++, Python, and point cloud or occupancy representations.
About the role
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 $150,000 - $195,000. Exact compensation may vary based on skills, experience, and location

