Computer Vision & Robotics Intern

Royper Royco LLC; San Francisco (CA); On-site; USD 150,000 - 210,000; Part time

Benefits offered by this job

Visa sponsorship

Relocation support

Job summary

Royper Royco LLC is seeking students for an early-stage industrial automation role focused on building and verifying computer vision systems in real factory environments.

You will collaborate with technical leadership to develop perception systems that detect process deviations on the shop floor, test under camera motion, and optimize for edge deployment. Visa sponsorship is available, including relocation support from Germany.

Qualifications

• Currently studying computer science, robotics, electrical engineering, mechanical engineering, or a related field with an interest in computer vision and physical AI.
• Comfort with Python and hands-on experience in computer vision, machine learning, or robotics.
• Hands-on robotics experience and a perception project using real sensor or camera data.
• Experience with PyTorch, OpenCV, object detection, tracking, synthetic data, SLAM or visual-inertial odometry, 3D vision, CUDA or TensorRT, ROS 2, or NVIDIA Jetson is a plus.
• Ability to learn quickly, debug technical problems, build projects, and take ownership.

Responsibilities

• Build and improve vision pipelines for detection, classification, tracking, and temporal understanding.
• Test first-person perception with camera motion, occlusion, and variable lighting.
• Use synthetic and real-world data to identify failure cases and enhance model performance.
• Train, evaluate, and debug PyTorch vision models.
• Explore geometric vision, calibration, localization, pose estimation, and 3D perception.
• Optimize models for low-latency inference and edge deployment.
• Build evaluation tools and experiments to measure performance in real-world conditions.
• Support factory deployments and assess system performance on the shop floor.

Skills

Python

Computer vision

Machine learning

Robotics

PyTorch

OpenCV

ROS 2

NVIDIA Jetson

CUDA/TensorRT

Tools

PyTorch

OpenCV

SLAM

Visual-Inertial Odometry

3D vision

CUDA

TensorRT

ROS 2

NVIDIA Jetson

Job description

Join an early-stage industrial automation team building computer vision systems to understand and verify manual assembly work. You will work closely with the technical leadership on perception systems that can detect process deviations in real factory environments.

What You'll Do

• Build and improve vision pipelines for detection, classification, tracking, and temporal understanding.
• Test first-person perception in the presence of 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 PyTorch vision models.
• Explore geometric vision, calibration, localization, pose estimation, and 3D perception.
• Optimize models for low-latency inference and edge deployment.
• Build evaluation tools and experiments to measure performance in real-world conditions.
• Support factory deployments and assess system performance on the shop floor.

What We're Looking For

• Currently studying computer science, robotics, electrical engineering, mechanical engineering, or a related field, with an interest in computer vision and physical AI.
• Comfort with Python and hands-on experience in computer vision, machine learning, or robotics.
• Hands-on robotics experience and a computer vision, robotics, or perception project using real sensor or camera data.
• Experience with PyTorch, OpenCV, object detection, tracking, synthetic data, SLAM or visual-inertial odometry, 3D vision, CUDA or TensorRT, ROS 2, or NVIDIA Jetson is a plus.
• Ability to learn quickly, debug technical problems, build projects, and take ownership.

Visa sponsorship is available, including support for relocation from Germany.

Location

On-site in San Francisco, California.

Pay benchmark Clera postings that list pay show a $178K median (185 postings)