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About the Role
Join an early-stage physical AI team developing computer vision systems for manufacturing quality inspection. You will work directly with the founders on perception technology that identifies parts and process steps, and detects assembly deviations in real factory environments.
What You'll Do
Build and improve computer vision pipelines for detection, classification, tracking, and temporal understanding.
Test first-person perception in conditions such as camera motion, occlusion, motion blur, changing viewpoints, and variable lighting.
Use synthetic and real-world data to find 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 testing during factory deployments.
What We're Looking For
Currently studying computer science, robotics, electrical engineering, mechanical engineering, or a related field.
Comfortable with Python and hands-on experience in computer vision, machine learning, or robotics.
Experience working with real sensor or camera data through a computer vision, robotics, or perception project.
Excited about computer vision and physical AI, with a record of building, debugging, and taking ownership of technical projects.
Experience with PyTorch, OpenCV, object detection, tracking, synthetic data, SLAM/VIO, 3D vision, CUDA/TensorRT, ROS2, or NVIDIA Jetson is a plus.
Compensation & Benefits
Visa sponsorship is available, including support for relocation from Germany.
Location
On-site in San Francisco, California, United States.
