Who We Are
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
What We Offer
Location:
Bangalore,INDYou’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.
Job Title: Computational Physicist: Semiconductor Process Modeling
Who We Are:
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
What We Offer:
Location: Bangalore, IND
You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.
Key Responsibilities:
- Develop computational models of chambers and processes being developed at Applied Materials
- Apply developed models using process recipes to predict on wafer performance. On wafer performance can include wafer to wafer repeatability, across wafer process uniformity, achieving a desired profile shape, step coverage, material change, etc.
- Use modeling to understand and propose new unit processes, new process sequences, new chemistries, solve chamber design issues, propose new chamber designs, and trouble shoot current production issues.
- Develop and maintain semiconductor process modeling scientific software through algorithm development, implementation of new capabilities, identifying and fixing bugs.
- Maintain awareness of technical literature, publish research results in peer-reviewed scientific or technical journals and present results at external conferences, seminars and/or technical meetings.
- Perform other duties as assigned.
Background/Skills:
- PhD in physics, electrical engineering, chemistry, or related field, or the equivalent combination of education and related experience.
- Familiarity with techniques such as kinetic Monte Carlo, molecular dynamics, particle-in-cell, and direct simulation Monte Carlo
- Artificial Intelligence / Machine learning (AI/ML) library experience in python or R a plus.
- Generative AI experience (Claude, Copilot, Gemini , ChatGPT)
- Knowledge of semiconductor processes such as etch (ex: plasma, wet), deposition (ex: atomic layer deposition, chemical vapor deposition, physical vapor deposition), epitaxy, electroplating, thermal, doping, and other surface modification process (ex: nitridation, oxidation).
- Knowledge of surface chemistry
- Knowledge of low temperature plasmas and reactive flows
- Scientific software development experience including modern code best practices, version control, test-driven development, algorithm development, parallelization techniques.
- Coding proficiency in languages such as C/C++, Fortran77/90, Python, R, or similar languages
- Experience with data analysis, mathematical | statistical modeling, machine learning, optimization, calculus, linear algebra.
- Interacts effectively with a broad range of colleagues such as hardware engineers, process engineers, program managers, and computational physicists.
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes, 10% of the TimeRelocation Eligible:
YesApplied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
Skills Required
- PhD in physics, electrical engineering, chemistry, or related field (or equivalent experience)
- Familiarity with kinetic Monte Carlo, molecular dynamics, particle-in-cell, direct simulation Monte Carlo
- Knowledge of semiconductor processes (etch, deposition, epitaxy, electroplating, thermal, doping, surface modification)
- Knowledge of surface chemistry
- Knowledge of low temperature plasmas and reactive flows
- Scientific software development experience including modern code best practices, version control, test-driven development, algorithm development, parallelization techniques
- Coding proficiency in C/C++, Fortran77/90, Python, R
- Experience with data analysis, mathematical/statistical modeling, machine learning, optimization, calculus, linear algebra
- Familiarity with AI/ML libraries in Python or R
- Generative AI experience (Claude, Copilot, Gemini, ChatGPT)
- Ability to interact effectively with hardware engineers, process engineers, program managers, and computational physicists
Applied Materials Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Applied Materials and has not been reviewed or approved by Applied Materials.
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Strong & Reliable Incentives — Annual and performance bonuses are often characterized as generous and predictable, with multiple programs (AIP/DBI/SIP) explicitly highlighted. Feedback suggests these incentives meaningfully augment base pay across many roles.
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Equity Value & Accessibility — Restricted Stock Units and an employee stock purchase plan are standard components of offers, and strong stock performance has made equity a notable upside. In some roles, RSUs and refreshers provide a meaningful boost to total compensation.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage, alongside EAP support and on‑site/virtual health centers in key locations, are emphasized as part of a robust package. Benefits typically start on day one, and the breadth of coverage is highlighted as a core strength.
Applied Materials Insights
What We Do
Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible a better future.








