Computational Physicist

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

At Applied Materials, we care about the health and wellbeing of our employees. Were 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 .

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

At Applied Materials, we care about the health and wellbeing of our employees. Were 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 .

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 time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

Applied 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.