Computational Physicist Semiconductor Process Modeling

Applied Materials


Job Location:

Bengaluru - India

Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

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:

BangaloreIND

Youll 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 possiblewhile 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. 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 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

Youll 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 possiblewhile 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. 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 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 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.


Required Experience:

IC

Who We AreApplied 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...

About Company

Company Logo

Applied Materials, Inc. is the global leader in materials engineering solutions for the semiconductor, flat panel display and solar photovoltaic (PV) industries.

View Profile View Profile