Vision Systems Engineer, Cell Engineering

What to Expect

Tesla is seeking an experienced Vision Systems Engineer to apply their expertise in Machine Vision Inspection Systems to cutting-edge manufacturing equipment and high-speed manufacturing processes. As a Vision Systems Engineer, you will be part of a world-class team of engineers responsible for designing and building automated manufacturing equipment at Tesla factories. You will work closely with many organizations, both internal and external to Tesla, taking new battery designs from initial concept through to full production. The battery cell is a critical component in Tesla vehicles and storage systems, and this role will have the opportunity to make meaningful contributions to sustainable energy.

What You'll Do

• Design, develop, and deploy machine vision systems for manufacturing lines, including robot guidance and vision-based process control systems
• Collaborate with cross-functional teams to develop requirements and provide solutions for inline vision inspection systems
• Commission the vision systems and drive the ramp of new products by characterizing baseline vision performance and capability
• Ensure manufacturing lines meet uptime, availability, and reliability metrics, and resolve production issues with a sense of urgency
• Develop best practices to improve vision system reliability, including process discipline, recipe version control, and system backup
• Develop vision software and algorithms using programming languages such as C++, C#, Python, or HALCON
• Organize cross-functional design reviews; collaborate with downstream and upstream process teams, quality teams on data analysis

What You'll Bring

• Degree in Physics, Mechanical Engineering, Electrical Engineering, Computer Science, or equivalent experience
• 5+ years of experience with machine vision systems
• Strong understanding of engineering fundamentals and ability to apply them towards manufacturing process development
• Knowledge in selection of cameras, lenses, optics, lighting, and other hardware for image capture and processing
• Strong analytical, mathematical, and statistical background and ability to understand and explain theory behind vision algorithms
• Experience with image processing and machine learning in manufacturing applications
• Experience in high-volume manufacturing is highly desired
• Ability to travel

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

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.