PhysicistScientist Machine Learning

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

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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.

We are seeking a highly motivated MS or PhDlevel scientist or engineer to develop and apply machine learningbased models using data generated from multidimensional highperformance computing (HPC) simulations. The successful candidate will work at the intersection of physicsbased modeling largescale simulation and modern AI/ML methods to accelerate product developing in the fast-paced semiconductor equipment industry. Focus will be on developing ML models based on plasma and electromagnetic simulations.

This role is ideal for candidates with strong domain knowledge in engineering or physical sciences and handson experience translating complex simulation data into robust predictive machine learning models.

Required Qualifications

• MS or PhD in Engineering (e.g. Chemical Electrical Mechanical Aerospace Nuclear Materials) Science (e.g. Physics Chemistry) or Computer Science
• Significant experience developing machine learning or deep learning models using data from multidimensional numerical simulations (e.g. PDEbased solvers particlebased simulations multiphysics models)
• Strong background in Pythonbased scientific computing and ML workflows
• Demonstrated experience with PyTorch or equivalent deep learning frameworks
• Solid understanding of:
  • Data preprocessing and feature engineering for large highdimensional datasets
  • Model training validation and performance evaluation
  • Numerical methods and/or physicsbased modeling concepts

Preferred Qualifications

• Experience with NVIDIA Physics NeMo NVIDIA Modulus or related physicsinformed or simulationdriven ML libraries
• Familiarity with GPUaccelerated computing CUDAaware workflows and HPC environments
• Exposure to physicsinformed machine learning (PIML) surrogate modeling reducedorder modeling or operator learning
• Publications or demonstrated research contributions in ML for physical systems or related fields

Key Responsibilities

• Develop and train machine learning and deep learning models using data from largescale multidimensional HPC simulations
• Collaborate with domain experts to incorporate physical constraints scientific insight and prior knowledge into ML model design
• Design workflows for data ingestion curation and analysis of highvolume simulation outputs
• Evaluate model accuracy generalization and robustness across a wide range of operating conditions
• Optimize models for performance scalability and deployment on GPUaccelerated platforms
• Contribute to internal software tools modeling frameworks and best practices

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.

In addition Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process please contact us via e-mail at or by calling our HR Direct Help Line at option 1 and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.