Computational Physicist: Semiconductor Process Modeling

Applied Materials
Bengaluru
Workplace: OnsiteFull timeFunction: Marketing & GrowthEducation: phdSkills: ["Interacting effectively with a broad range of colleagues"]

Develop computational models for semiconductor chambers and processes, using process recipes to predict on-wafer performance such as uniformity, profile shape, step coverage, and material change. Use modeling to propose new unit processes, sequences, chemistries, chamber designs, and troubleshoot production issues. Build and maintain scientific modeling software with modern development practices, and stay current with technical literature to publish and present research externally.

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Applied Materials
Applied Materials
2 weeks ago

Computational Physicist: Semiconductor Process Modeling

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Closed

Job Summary

Develop computational models for semiconductor chambers and processes, using process recipes to predict on-wafer performance such as uniformity, profile shape, step coverage, and material change. Use modeling to propose new unit processes, sequences, chemistries, chamber designs, and troubleshoot production issues. Build and maintain scientific modeling software with modern development practices, and stay current with technical literature to publish and present research externally.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Marketing & Growth

Key Responsibilities

  • •Develop computational models of chambers and semiconductor processes being developed at Applied Materials.
  • •Apply process recipes to predict on-wafer performance including repeatability, across-wafer uniformity, profile shape, step coverage, and material change.
  • •Use modeling to understand and propose new unit processes, process sequences, chemistries, and chamber designs; troubleshoot production issues.
  • •Develop and maintain semiconductor process modeling scientific software through algorithm development, implementation of new capabilities, and bug fixes.
  • •Stay current with technical literature and publish/present research results at peer-reviewed journals and external conferences or seminars.
Travel: Low travel

Key Requirements

  • •PhD in physics, electrical engineering, chemistry, or a related field (or equivalent education and related experience).
  • •Familiarity with techniques such as kinetic Monte Carlo, molecular dynamics, particle-in-cell, and direct simulation Monte Carlo.
  • •Knowledge of semiconductor processes including etch, deposition (ALD/CVD/PVD), epitaxy, electroplating, thermal, doping, and surface modification (e.g., nitridation, oxidation).
  • •Scientific software development experience using modern code best practices, version control, test-driven development, algorithm development, and parallelization techniques.
  • •Coding proficiency in languages such as C/C++, Fortran77/90, Python, or R, plus familiarity with AI/ML and generative AI tools (a plus).
Education:PhD / Doctorate
Skills:Interacting effectively with a broad range of colleagues
Tech Stack:Kinetic Monte CarloMolecular dynamicsParticle-in-cellDirect simulation Monte CarloAI/MLPythonRClaudeCopilotGeminiChatGPTC/C++Fortran77/90Version controlTest-driven developmentAlgorithm developmentParallelizationData analysisMathematical modelingOptimization

Company Brief

Applied Materials
Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1967
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