Computer Vision & Robotics Intern

About the Role

Join an early-stage industrial automation startup's engineering team to help develop computer vision systems for factory quality inspection. The system uses first-person cameras to understand manual assembly, recognize process steps, and detect deviations, with the longer-term goal of supporting robotic automation.

What You'll Do

• Build and improve computer vision pipelines for detection, classification, tracking, and temporal understanding.
• Test first-person perception in challenging conditions, including camera motion, occlusion, motion blur, and changing lighting.
• Work with synthetic and real-world data to identify failure cases and improve model performance.
• Train, evaluate, and debug vision models using PyTorch.
• Explore geometric vision, calibration, localization, pose estimation, and 3D perception.
• Optimize models for low-latency inference and edge deployment.
• Build evaluation tools and support deployments to assess performance in real factory environments.

What We're Looking For

• Currently studying computer science, robotics, electrical engineering, mechanical engineering, or a related field.
• Hands-on experience in computer vision, machine learning, or robotics, and comfort working with Python.
• Interest in computer vision and physical AI, with the ability to learn quickly, debug problems, build, and take ownership.
• Experience with PyTorch, OpenCV, object detection, tracking, synthetic data, SLAM or VIO, 3D vision, CUDA or TensorRT, ROS2, or NVIDIA Jetson is helpful.