Role OverviewDesign, deploy, and sustain advanced automation and AI-enabled solutions in semiconductor manufacturing. Focus on transitioning AI and automation initiatives from proof-of-concept into fully integrated, production-ready systems that improve yield, reliability, safety, and operational efficiency.
What You Will Do
Lead design, integration, and deployment of AI/ML-based in-situ defect detection systems, develop and maintain Python-based computer vision pipelines, train AI models, design and fabricate custom 3D-printed hardware, and integrate vision outputs with enterprise platforms.
Why It Might Be a Fit
Contribute to advanced manufacturing and sustainability initiatives, including yield improvement, cost reduction, and greenhouse gas reduction. Ensure compliance with industrial safety standards and EHS requirements.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or related field
- 10+ years of experience in automation engineering, AI/ML, and computer vision
- Strong programming skills in Python and experience with computer vision libraries
- Experience with 3D printing and custom hardware design
- Knowledge of industrial safety standards and EHS requirements
Benefits
- Competitive salary
- Comprehensive benefits package
- 401(k) plan
- Health insurance
- Paid time off
- Professional development opportunities
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