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Tesla Sr. Vision Systems Engineer Cell Engineering United States, California, Fremont 913884087
17.04.2025
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What You’ll Do What You’ll Bring
- Work as key link between cross functional teams to develop requirements and provide solutions for inline vision inspection systems
- Drive ramp of exciting new products by characterizing baseline vision performance and capability and improve performance as measured by product quality and tool availability
- Ensure manufacturing lines meet uptime, availability, and reliability metrics – OEE, cycle time and quality, and have the sense of urgency on resolution of production issues
- Develop best practices to improve vision system reliability
- Vision software and algorithm development and data analysis using programming languages such as C++, C#, Python or HALCON vision library
- Commissioning and calibrating vision systems and MES system integration
- Organize cross-functional design reviews and highlight body of work
- Collaboration with downstream and upstream process teams and quality team on vision system validation, data correlation, and analysis
- Build request for quotation and manage vendor proposals
- Provide direction and mentorship to third party vendors and Tesla Internal machine building teams
- 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
- Knowledge of camera calibration (e.g., pinhole camera model, lens distortion, MTF of imaging system, gain and exposure setting, etc.)
- Strong analytical, mathematical, and statistical background and ability to understand and explain theory behind vision algorithms
- Experience of image processing (e.g., image enhancement, thresholding, morphology, feature extraction, etc.) is highly desired
- Experience with machine learning applications and image classification by deep learning is highly desired
- Experience in high volume manufacturing is highly desired
- Ability to travel
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