Generate speed profiles from curvature, visibility, slope, and surface quality; respect slow/no-go zones and grade limits. Proficiency in ROS2, C++, Python, internal middleware, and point cloud / occupancy representations, map / cost representations.
Numbers & Facts
Location
San Francisco, California
Description
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