Computational Physicist – FluidThermal Modeling, AIML New College Grad Doctorate Degree (Santa Clara, CA)

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.

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Job Title Computational Physicist Fluid/Thermal Modeling AI/ML

Location Sunnyvale CA

Applied Materials is the leader in materials engineering solutions 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. Our innovations make possible the technology shaping the future. To achieve this we employ some of the best brightest and most talented people in the world who work together as part of a winning team.

Applied Materials is seeking a highly skilled engineer to join its computational modeling team focused on fluid and thermal physics this role you will develop and implement advanced computational models using physicsbased simulation tools and AI/ML techniques. You will design fluid and thermal models automate simulation workflows analyze large data sets and contribute to the development and optimization of Ace software. This position requires close collaboration with crossfunctional engineering teams to solve complex problems improve product designs and support nextgeneration chamber and process technology development.

Qualifications:

• Advanced degree (M.S. or Ph.D.) in Mechanical Electrical Aerospace Chemical Engineering or a related field with specialization in fluid/thermal physics.
• Proven ability to apply fluid/thermal physics and chemical kinetics principles to solve challenging problems.
• Experience automating simulation workflows using Python MATLAB or similar scripting tools for data processing and large-scale analysis.
• Proficient in at least one programming language (Python MATLAB C C or Fortran).
• Excellent written and verbal communication skills for effective collaboration across engineering teams.

Desirable Qualifications

• Hands-on experience applying machine learning techniques to enhance physics-based simulations including: surrogate models. reduced-order models uncertainty quantification
• Familiarity with open-source machine learning libraries and frameworks

Additional Information

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The 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.

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