Tesla

Makes electric cars, robotaxis and grid batteries

Vision Integration Engineer - Factory Vision Platform

Computer VisionConfirmed live in the last 24 hours

Full-timeFremont, CA, USANo salary listedIn-person

About the Job

Requirements

A degree in Physics, Mechanical Engineering, Electrical Engineering, or Computer Science, or equivalent experience.
At least 3 years of hands-on experience with industrial vision systems in a manufacturing environment.
Strong knowledge of optics, lighting, hardware selection, cameras, lenses, illumination, and image acquisition components.
Understanding of camera calibration, including lens distortion, intrinsic and extrinsic parameters, and multi-camera geometry.
Experience with image processing fundamentals such as enhancement, thresholding, and feature extraction, and computer vision concepts such as object detection, segmentation, and anomaly detection.
Experience developing vision software and algorithms and performing data analysis using C#, Python, or HALCON.
Experience with model training workflows, dataset preparation, annotation, training, and evaluation.
Experience with linescan camera systems.
Strong troubleshooting skills and effective cross-functional communication in a fast-paced manufacturing environment.

Responsibilities

Install, configure, commission, and maintain industrial vision systems, including cameras, lighting, optics, and mounting hardware across factory environments.
Perform camera calibration, including intrinsic and extrinsic parameters, lens distortion, and multi-camera geometry, to ensure system accuracy and repeatability.
Develop and optimize vision algorithms for defect detection, inspection, and anomaly detection using Python, C++, C#, or HALCON.
Perform on-site data collection campaigns, ensuring proper image capture, labeling, and dataset curation for model training and validation.
Build, train, and iterate on computer vision models using the factory vision platform.
Drive vision system reliability and uptime, tracking metrics including cycle time and quality yields.
Troubleshoot hardware and software integration issues across cameras, networking, compute modules, and platform connectivity.
Collaborate with machine learning engineers to define data requirements and validate model performance in production.
Work with process and production teams to identify new inspection use cases and translate operational needs into deployments.

Category	Engineering & Information Technology
Location	Fremont, California
Requisition ID	275831
Type	Full-time

Job Description

We are seeking a Vision Integration Engineer to join our Factory Software machine learning and computer vision team. In this role, you will be the hands-on bridge between our vision platform and the factory floor, deploying and integrating industrial camera systems, collecting high-quality datasets, and building models to solve real-world inspection challenges at scale.<br><br>You will bring both depth in classical machine vision (optics, calibration, algorithm development) and fluency with modern ML-based inspection workflows. You will work closely with ML engineers, process engineers, and production teams to bring vision-based solutions from concept to full production.

Job Responsibilities

Install, configure, commission, and maintain industrial vision systems including cameras, lighting, optics, and mounting hardware across factory environments
Perform camera calibration (intrinsic/extrinsic parameters, lens distortion, multi-camera geometry) to ensure system accuracy and repeatability
Develop and optimize vision algorithms for defect detection, inspection, and anomaly detection using Python, C++, C#, or HALCON
Perform on-site data collection campaigns, ensuring proper image capture, labeling, and dataset curation for model training and validation
Build, train, and iterate on computer vision models using the factory vision platform
Drive vision system reliability and uptime, tracking key metrics including cycle time, and quality yields
Troubleshoot hardware and software integration issues across cameras, networking, compute modules, and platform connectivity
Collaborate with ML engineers to define data requirements and validate model performance in production
Work with process and production teams to identify new inspection use cases and translate operational needs into deployments

Job Requirements

Degree in Physics, Mechanical Engineering, Electrical Engineering, Computer Science, or equivalent experience
3+ years of hands-on experience with industrial vision systems in a manufacturing environment
Strong knowledge of optics, lighting, and hardware selection, cameras, lenses, illumination, and image acquisition components
Understanding of camera calibration: lens distortion, intrinsic/extrinsic parameters, multi-camera geometry
Experience with image processing fundamentals (enhancement, thresholding, feature extraction) and computer vision concepts (object detection, segmentation, anomaly detection)
Experience in developing vision software and algorithms and performing data analysis using languages and tools such as C#, Python, or HALCON
Experience with model training workflows, dataset preparation, annotation, training, and evaluation
Experience with linescan camera systems
Strong troubleshooting skills and effective cross-functional communication in a fast-paced manufacturing environment

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

Recently Posted Jobs

Explore more opportunities at Tesla

See more jobs