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The Posting
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
- Build and improve vision pipelines for detection, classification, tracking, and temporal understanding.
- Test first-person perception systems under camera motion, changing viewpoints, occlusion, motion blur, and variable lighting.
- Use synthetic and real-world data to find failure cases and improve model performance.
- Train, evaluate, and debug computer 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 learn how systems perform on factory floors.
WHAT WE'RE LOOKING FOR
- Currently studying computer science, robotics, electrical engineering, mechanical engineering, or a related field.
- Comfortable programming in Python, with hands-on experience in computer vision, machine learning, or robotics.
- Hands-on experience with robotics or perception using real sensor or camera data.
- Curiosity about computer vision and physical AI, plus the ability to learn quickly, build, debug, and take ownership.
- 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.
Facts
- Source
- Ashby
- External id
- add0d66a-62ce-43e6-a666-4ee20b2d3bcb
- Location
- San Francisco, CA, United States
- Remote
- On-site, from the posting
- Employment
- Full time
- Posted
- 29 Oct 2026, 17:03
- First seen
- 29 Oct 2026, 18:03
- Last seen
- 1 Nov 2026, 18:03
- Status
- Not yet added
- Posting id
- 7cbfbabb-6748-5206-9786-9644fcf6f566
