Physics AI Scientist III
Job Location:
Santa Clara County, CA - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
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
Salary:
$142500.00 - $196500.00Location:
Santa ClaraCAYoull 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.
Role Summary
Develop next-generation AI models for semiconductor engineering by combining scientific domain knowledge with modern machine learning. Build physics-aware surrogate models foundation models and optimization workflows that accelerate simulation and engineering design.
Key Responsibilities
Develop Scientific AI models that bridge scientific computing physics-based simulation and machine learning for physics and chemistry-based engineering problems.
Design and train surrogate models operator-learning models and foundation models for scientific simulations.
Collaborate with domain experts to formulate AI solutions for complex engineering challenges.
Develop scalable data generation training validation and deployment workflows for Scientific AI models.
Publish technical innovations and drive adoption of Scientific AI across engineering applications.
Preferred Qualifications
Ph.D. in Mechanical Engineering Chemical Engineering Materials Science Physics Applied Mathematics Computer Science or a related field.
Experience applying machine learning to real-world scientific or engineering problems.
Strong background in scientific machine learning and numerical simulation.
Experience with surrogate modeling PINNs operator learning (e.g. FNO) or foundation models.
Proficiency in Python and PyTorch.
Experience with HPC distributed training large-scale scientific datasets or scalable ML workflows.
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes 10% of the TimeRelocation Eligible:
YesThe salary offered to a selected candidate will be based on multiple factors including location hire grade job-related knowledge skills experience and with consideration of internal equity of our current team addition to a comprehensive benefits package candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program as applicable.
For all sales roles the posted salary range is the Target Total Cash (TTC) range for the role which is the sum of base salary and target bonus amount at 100% goal achievement.
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
About Company
Applied Materials, Inc. is the global leader in materials engineering solutions for the semiconductor, flat panel display and solar photovoltaic (PV) industries.
