Robotics Perception Intern — Field-Ready Autonomy

Moss; San Francisco, Northern (CA, KY); Hybrid; USD 34,000 - 55,000; Part time

Job summary

Moss in San Francisco is seeking co-ops and/or part-time Perception or Robotics Interns to help build perception, mapping, ML, and autonomy systems for outdoor robots. You’ll work on sensor fusion, 3D mapping with LiDAR, cameras, and GPS, and deploy models on edge hardware.

You’ll own projects from research to deployment, collaborate with engineers across software, hardware, and mechanical teams, and gain hands-on experience with real robots in challenging environments.

Qualifications

• Robotics, perception, ML, CV and mapping project experience beyond coursework.
• Strong programming in C++, Python, or Rust.
• Experience with 3D sensor data, sensor fusion, localization or navigation.
• Comfortable with Linux and debugging real systems.
• Willingness to learn quickly and take ownership on real robots.

Responsibilities

• Own projects from research and design through prototyping, deployment, and iteration on real robots
• Build perception and mapping systems that turn multi-sensor data into useful, production-ready outputs
• Train and evaluate machine-learning models using outdoor datasets
• Develop sensor fusion across LiDAR, cameras, GPS, and environmental sensors
• Build and improve localization, navigation, controls, and robot behaviors
• Integrate perception, autonomy, and hardware into reliable end-to-end robotic systems
• Develop tools for data collection, labeling, training, evaluation, simulation, and field debugging
• Optimize models and algorithms for latency, memory usage, and reliability on edge hardware
• Test and deploy robotic systems during real-world customer operations
• Collaborate closely with perception, software, electrical, and mechanical engineers

Skills

Robotics

Perception

Machine learning

Computer vision

Mapping

C++

Python

Rust

Tools

Linux

CUDA

Edge deployment

Point clouds

Job description

Moss in San Francisco is seeking co-ops and/or part-time Perception or Robotics Interns to help build perception, mapping, ML, and autonomy systems for outdoor robots. You’ll work on sensor fusion, 3D mapping with LiDAR, cameras, and GPS, and deploy models on edge hardware.

You’ll own projects from research to deployment, collaborate with engineers across software, hardware, and mechanical teams, and gain hands-on experience with real robots in challenging environments.