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.

Why We Are Hiring for This Role:

• Develop perception pipelines using LiDAR, cameras, and GPS/IMU for off-road environments.
• Implement algorithms for localization, mapping (SLAM), and terrain/obstacle detection.
• Build systems that allow the ATV to recognize trails, drivable areas, and hazards.
• Work closely with the planning engineer to provide reliable world models for navigation.
• Validate perception stack in both simulation and real-world field tests.
• Calibrate and synchronize multiple sensors (LiDAR, cameras, IMU, GPS) for reliable perception.
• Optimize perception algorithms for real-time performance on embedded compute hardware.
• Develop tools for visualizing and debugging sensor data during field testing.

What Kind of Person We Are Looking For:

• Strong background in computer vision, robotics, or related fields.
• Experience with LiDAR and camera-based perception, 3D point cloud processing, and SLAM.
• Proficiency in ROS2, C++, and Python.
• Comfort deploying and debugging algorithms in outdoor, off-road conditions.
• Experience fusing data from multiple sensors (camera + LiDAR + IMU).
• Familiarity with point-cloud libraries (e.g., PCL, Open3D) or vision libraries (OpenCV).