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.

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.