Spring '27 Intern - Perception/Robotics

ABOUT US

At moss.ag [https://www.moss.ag/], we build robots to go where humans won't, digitizing the physical outdoor world to make it machine-readable. Starting with tree farms — where a single field holds millions of plants no human has ever fully inventoried. 🌲🤯🌳

We’re a small team of practical engineers with a long-term vision. We focus on real, messy, on-the-ground problems today, while working toward a future where autonomous field robots make harsh outdoor jobs easier and safer.

If our mission aligns with how you work and think, we’d love to learn more about you!

THE ROLE

Join us as a Perception or Robotics Intern on a fast-moving team of seven. In this high-ownership role, you’ll help build and ship the perception, mapping, machine learning, and autonomy systems that allow our robots to understand and operate in complex outdoor environments.

Depending on your interests and experience, you may work on sensor fusion and 3D mapping using LiDAR, cameras, and GPS; train perception models on custom datasets; develop localization, navigation, and robot behaviors; or integrate these systems into reliable robots deployed in the field.

You’ll help make our systems work through changing light, harsh shadows, motion, dust, vegetation, uneven terrain, and severe occlusions while optimizing them for real-time performance on edge hardware.

We’re looking for for co-ops and/or part-time roles.

MINIMUM REQUIREMENTS

• Impressive technical projects beyond the classroom in robotics, perception,

machine learning, computer vision, mapping, or related fields

• Strong programming skills in C++, Python, or Rust
• Hands-on experience with at least one of the following:
• 3D sensor data, point clouds, or sensor fusion
• Machine learning or computer vision
• Localization, mapping, navigation, controls, or robot behaviors
• Comfortable working in Linux and debugging real systems
• Excited to learn quickly, take ownership, and test your