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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.
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, 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
What You'll Bring
- 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
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
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