Computer Vision & Robotics Intern

• Build and improve computer vision pipelines for detection, classification, tracking, and temporal understanding.
• Test first-person perception in challenging conditions such as camera motion, occlusion, motion blur, and changing lighting.
• Use synthetic and real-world data to find failure cases and improve model performance.
• Train, evaluate, and debug vision models in PyTorch.
• Explore geometric vision, calibration, localization, pose estimation, and 3D perception.
• Optimize models for low-latency inference and edge deployment, and build tools to evaluate real-world performance.
• Support factory deployments and learn from system performance on the shop floor.
• You are studying computer science, robotics, electrical engineering, mechanical engineering, or a related field, and are interested in computer vision and physical AI.
• You are comfortable with Python and have hands-on experience in computer vision, machine learning, or robotics.
• Experience with PyTorch, OpenCV, object detection, tracking, synthetic data, SLAM or VIO, 3D vision, CUDA or TensorRT, ROS2, or NVIDIA Jetson is helpful.
• You have built and debugged technical projects and are ready to learn quickly and take ownership.
• On-site in San Francisco, California, United States.

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