Sr. Vision Systems Engineer, Cell Engineering

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.

• 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
• 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
• Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)

Expected Compensation

$133,000 - $296,400/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.