Vision Integration Engineer

Tesla

Austin, Texas · Full-time

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 camera systems, collecting high-quality datasets, and building models within the platform to solve real-world inspection and monitoring challenges. You will work closely with ML engineers, process engineers, and production teams to bring vision-based solutions from concept to production. What You'll Do Install, configure, and maintain industrial vision systems including cameras, lighting, and mounting hardware across factory and warehouse environments 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, including defect detection, visual inspection, and anomaly detection workflows Troubleshoot and resolve hardware and software integration issues related to cameras, networking, compute modules, and platform connectivity Collaborate with ML engineers to define data requirements

Requisitos

Hands-on experience with industrial vision systems, including camera hardware, optics, lighting, and image acquisition. Familiarity with computer vision concepts such as object detection, classification, segmentation, and image preprocessing. Working knowledge of Python and comfort using data tools and scripting for data collection, labeling, and pipeline automation. Experience with model training workflows — dataset preparation, annotation, training, and evaluation within ML platforms or frameworks. Ability to read and interpret hardware specifications, wiring diagrams, and network configurations for vision system integration. Strong troubleshooting and problem-solving skills in a fast-paced manufacturing environment. Effective communication skills to coordinate across engineering, produc

Ref. 7WQYA

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