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Tier-1 employer, metro location, and a mid-level (2–5 yrs) role increase candidate competition.
Role requires semiconductor process, defectivity, and CAD/inspection expertise, reducing cross-industry transferability.
Explicit 2–5 years requirement plus mandatory semiconductor domain experience and Python skills make screening strict.
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Maximize performance and applicability of multi-source data products (CAD, design, process, inspection) for semiconductor defect detection and classification.
Drive adoption and deployment of data product solutions at semiconductor fabs, serving as technical escalation point for complex field issues and providing root cause analysis.
Contribute to product innovation by prototyping new technical flows, translating customer feedback into roadmap inputs, and exploring AI/ML-based enhancements.
Bachelor's or Master's degree in Electronics Engineering, Computer Science, VLSI, or related field.
2–5 years of experience in semiconductor process and defectivity with hands-on knowledge of CAD and design-based inspection concepts.
Proficiency in Python for building scripts, tools, or analytical workflows.
Willingness to travel approximately 50% to leading semiconductor fabs globally.
Experience working closely with R&D, product teams, and customers in the semiconductor fabrication domain, particularly with defect detection and process diagnostics.
Demonstrated ability to independently troubleshoot complex software and hardware interactions in semiconductor equipment.
Familiarity with AI/ML applications in semiconductor data analysis and practical use of GenAI-assisted development tools for coding and debugging.