Vision Integration Engineer, Factory Vision Platform

What To Expect

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.

• 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

• 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

Compensation and Benefits. Along with competitive pay, as a full‑time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Medical plans > plan options with $0 payroll deduction
• Family‑building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid Health Savings Accounts (HSA) Contribution when enrolled in the High‑Deductible medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life, AD&D
• Short‑term and long‑term disability insurance (90 day waiting period)
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
• Back‑up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program