About the Role
Join an early-stage industrial automation team building computer vision systems to understand manual work in factories. You will work on the core perception system, helping bring real-time quality inspection from controlled experiments into production environments, with potential applications in robotic automation.
What You'll Do
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Build and improve vision pipelines for detection, classification, tracking, and temporal understanding.
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Test first-person perception systems under camera motion, changing viewpoints, occlusion, motion blur, and variable lighting.
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Use synthetic and real-world data to find failure cases and improve model performance.
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Train, evaluate, and debug computer vision models using PyTorch.
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Explore geometric vision, calibration, localization, pose estimation, and 3D perception.
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Optimize models for low-latency inference and edge deployment.
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Build evaluation tools and support deployments to learn how systems perform on factory floors.
What We're Looking For
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Currently studying computer science, robotics, electrical engineering, mechanical engineering, or a related field.
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Comfortable programming in Python, with hands-on experience in computer vision, machine learning, or robotics.
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Hands-on experience with robotics or perception using real sensor or camera data.
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Curiosity about computer vision and physical AI, plus the ability to learn quickly, build, debug, and take ownership.
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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. Relocation support from Germany is supported.
Location
On-site in San Francisco, California, United States.
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