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Tier-1 brand and Bangalore metro but niche PhD modeling reduces density.
Highly specialized semiconductor physics and process modeling skills limit cross-industry transferability.
PhD plus specialized simulation, coding, and semiconductor process knowledge enforces strict filters.
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Develop and maintain computational semiconductor process models to predict wafer performance including uniformity, profile shape, and material changes.
Use modeling to propose new process sequences, chemistries, and chamber designs, and troubleshoot production issues.
Contribute to scientific software development including algorithm implementation, bug fixing, and publish research in peer-reviewed forums.
PhD in physics, electrical engineering, chemistry, or related field, or equivalent experience.
Proficiency in programming languages like C/C++, Fortran77/90, Python, or R with experience in scientific software development.
Knowledge of semiconductor processes such as etch, deposition, epitaxy, electroplating, doping, and surface chemistry.
Work Experience Required: Not explicitly mentioned in the JD.
Expertise in computational modeling techniques including kinetic Monte Carlo, molecular dynamics, particle-in-cell, and direct simulation Monte Carlo.
Experience with AI/ML libraries in Python or R and familiarity with generative AI tools (e.g., Claude, Copilot, ChatGPT) is preferred.
Ability to collaborate effectively with hardware engineers, process engineers, program managers, and computational physicists in a product development environment involving semiconductors.