The Vision Integration Engineer will serve as a key link between the vision platform and factory operations, focusing on deploying camera systems, collecting datasets, and building models to address inspection and monitoring challenges. This role involves collaboration with various engineering and production teams to implement vision-based solutions effectively.

• 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, production, and quality teams

• 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, validate model performance in production, and drive continuous improvement of deployed models
• Work with process and production engineering teams to identify new inspection use cases and translate operational needs into vision system deployments
• Maintain documentation of system configurations, data collection procedures, and integration standards across deployment sites

• Employees at Tesla are often offered day-one coverage with multiple medical options (some at $0 paycheck cost), dental/vision, company HSA contributions, a 401(k) match, and equity programs. Most roles also include paid time off and holidays, family-building support, employee assistance, commuter and childcare benefits, and access to discounts and wellness programs.