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Computational Physicist Semiconductor Process Modeling

Applied Materials

Bangalore,INDMidH-1B sponsor company
Sign in to applyVerified 2h ago
Location
Bangalore,IND
Work model
On-Site
Level
Mid
H-1B history
125 approvals (FY2023)
Posted
13h ago

Skills

Machine Learning

About this role

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 .  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

Computational Physicist Semiconductor Process Modeling at Applied Materials, Bangalore,IND | Yoinka