(Senior) Vision Systems Engineer, Cell Engineering (m/w/d) - Gigafactory Berlin-Brandenburg

Build your Career at Tesla

Go to search

(Senior) Vision Systems Engineer, Cell Engineering (m/w/d) - Gigafactory Berlin-Brandenburg

| Job Category | Engineering & Information Technology | | Location | Grünheide (Mark), Brandenburg | | Req. ID | 273486 | | Job Type | Full-time |

What to Expect

Gigafactory Berlin-Brandenburg marks a defining moment in Europe for Tesla’s mission of accelerating the world’s transition to sustainable energy. Here we will launch revolutionary products on a massive scale, using extraordinary speed, innovation and efficiency. Our employees will ensure that we achieve our goals, and we welcome you to help us write the next chapter of our success story.

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

• 2+ 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

• Candidates are expected to uphold and actively promote sustainability principles in their daily work, operating in line with Tesla Global Environmental, Health, Safety & Security (EHS&S) Policy and EMAS requirements, fostering a culture of continuous environmental improvement

• Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, 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.

For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact ADA@tesla.com for ADA related questions or to request ADA accommodations.

Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice.