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
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