Computer Vision & Robotics Intern

Clera

San Francisco, CA

On-site

Who this role is best for

Best suited to candidates with hands-on experience in computer vision and a strong interest in industrial automation, working in a startup environment with on-site requirements in San Francisco.

Best fit for

Candidates with hands-on experience in computer vision and a passion for physical AI applications in manufacturing
— “building computer vision systems for manufacturing quality inspection”
Individuals who can independently debug and optimize vision models for edge deployment
— “Optimize models for low-latency inference and edge deployment”
Students or recent graduates from computer science, robotics, or engineering fields with a focus on technical project ownership
— “You have built and debugged technical projects and are ready to learn quickly and take ownership”

Things to consider

On-site presence is required in San Francisco, which may limit remote flexibility
— “On-site in San Francisco, California, United States.”
Visa sponsorship is available, but relocation from Germany is explicitly supported
— “Relocation from Germany is supported”

How to stand out

Highlight experience with PyTorch and real-world computer vision challenges in your resume and interview stories
— “Train, evaluate, and debug vision models in PyTorch”
Showcase your ability to analyze and improve model performance using synthetic and real-world data
— “Use synthetic and real-world data to find failure cases and improve model performance”
Emphasize any prior work with 3D vision, geometric perception, or localization techniques
— “Explore geometric vision, calibration, localization, pose estimation, and 3D perception”
Demonstrate your capacity to support factory deployments and learn from real-world system performance
— “Support factory deployments and learn from system performance on the shop floor”

Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · Individual

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

build and improve computer vision pipelines
test first-person perception in challenging conditions
train, evaluate, and debug vision models in PyTorch
optimize models for low-latency inference and edge deployment

Typical background

studying computer science, robotics, electrical engineering, mechanical engineering

Skills & requirements

Required

Computer VisionRoboticsPythonComputer ScienceMachine Learning

Preferred

PyTorchOpencvObject DetectionTrackingSynthetic DataSLAMVIO3D VisionCUDATensorrtROS2Nvidia Jetson

Stack & domain

PythonComputer VisionMachine LearningRoboticsPyTorchOpencvObject DetectionTrackingSynthetic DataSLAMVIO3D VisionCUDATensorrtROS2Nvidia JetsonLeadershipProblem-solvingTeamworkCommunicationAdaptabilityCreativityManufacturingQuality InspectionAI

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE
Join the perception engineering team at an early-stage industrial automation startup, building computer vision systems for manufacturing quality inspection. You will work on real factory applications that identify parts and process steps, helping catch assembly errors before they lead to rework or defects.
WHAT YOU'LL DO
Build and improve computer vision pipelines for detection, classification, tracking, and temporal understanding.
Test first-person perception in challenging conditions such as camera motion, occlusion, motion blur, and changing lighting.
Use synthetic and real-world data to find failure cases and improve model performance.
Train, evaluate, and debug vision models in PyTorch.
Explore geometric vision, calibration, localization, pose estimation, and 3D perception.
Optimize models for low-latency inference and edge deployment, and build tools to evaluate real-world performance.
Support factory deployments and learn from system performance on the shop floor.
WHAT WE'RE LOOKING FOR
You are studying computer science, robotics, electrical engineering, mechanical engineering, or a related field, and are interested in computer vision and physical AI.
You are comfortable with Python and have hands-on experience in computer vision, machine learning, or robotics.
Experience with PyTorch, OpenCV, object detection, tracking, synthetic data, SLAM or VIO, 3D vision, CUDA or TensorRT, ROS2, or NVIDIA Jetson is helpful.
You have built and debugged technical projects and are ready to learn quickly and take ownership.
COMPENSATION & BENEFITS
Visa sponsorship is available. Relocation from Germany is supported.
LOCATION
On-site in San Francisco, California, United States.

Source: Clera careers (Ashby)