Fall '26 Intern - Perception/Robotics

About the role#

Join the team as a Perception or Robotics Intern to build and ship the systems that allow robots to operate in complex outdoor environments. You will work on projects involving sensor fusion, 3D mapping, machine learning, and autonomy. This role focuses on solving real-world challenges such as varying light conditions, dust, uneven terrain, and occlusions, while optimizing systems for real-time performance on edge hardware.

What you'll do#

• Own projects from research and design through prototyping, deployment, and iteration.
• Build perception and mapping systems that turn multi-sensor data into production-ready outputs.
• Train and evaluate machine-learning models using custom 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.

What you'll need#

• Impressive technical projects in robotics, perception, machine learning, computer vision, mapping, or related fields.
• Strong programming skills in C++, Python, or Rust.
• Hands-on experience with 3D sensor data, point clouds, or sensor fusion.
• Comfortable working in Linux and debugging real systems.
• Excited to learn quickly and take ownership of your work.
• Relevant majors include Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or Data Science.

Location & details#

• Location: San Francisco, California.
• Term: Fall 2026.
• Modality: On-site.
• Compensation: This is a paid internship.