HOME Software Engineering & Dev Planning Engineer
  • Foundation
  • San Francisco, CA
  • Full-Time
  • 52 days ago
  • $150,000 – $195,000
Foundation VERIFIED EMPLOYER

Planning Engineer.

Software Engineering & Dev Full-Time

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
Published August 6, 2026
Location San Francisco, CA
Job Type Full-Time