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.

Position Overview

The primary objective of this role is to accelerate the speed of application development by leveraging a predictive Large Language Model (LLM) physics based feature-scale models and traditional approaches specifically designed for wafer-based applications. The individual in this role will play a pivotal part in enhancing application development efficiency through incorporating these methodologies. The position is accountable for specific application based performance milestones to be obtained through process and product development.

Key Responsibilities

• Deliver future node (N4) application solutions using both process and hardware development from AIx feature scale models and experimental methods
• LLM Training Supervision: Oversee the training of LLMs for the development of integrated numerical and feature-scale models tailored to wafer-based applications.
• Model Grounding: Ensure that LLM models are firmly grounded in internal documentation historical data and product hardware logs (such as CFM) to provide accurate and context-aware predictions.
• Feature-scale model supervision and direction: oversee the creation of feature scale models and direct ensure the model is consistent with the relevant data and mechanisms found from literature and lab work.
• Data Identification: Identify the required input and data derived from wafer or product-level outputs that are essential for training the LLM to achieve effective predictive capabilities.
• Parameter Definition: Define relevant wafer-level data (for example CDs and profile) and product-level parameters (such as IEDF) to be utilized for LLM-based predictive outputs.
• Data Governance and Compliance: Uphold data governance security practices and compliance with industry standards when handling sensitive information.

Functional Knowledge

The role requires a broad and comprehensive understanding of various systems theories and practices relevant to the discipline. Staying informed about new developments is essential to help define necessary changes to policies and practices.

Business Expertise

Utilize highly specialized skills to expand the technology footprint or customer base of Applied or to enhance operational efficiencies in support of the companys business objectives. The role demands a comprehensive knowledge of the industry to contribute effectively to the commercial objectives of the business enabling the business unit to differentiate itself from competitors.

Leadership

Lead key cross-functional project teams or initiatives acting as a mentor and role model to others within the organization. Working across functional teams (KPU PDC Modeling Accounts engineering and product development) will be required to be successful.

Problem Solving

Exercise a high degree of autonomy in making decisions that impact business unit or function deliverables.

Impact

Make decisions that influence the attainment of annual goals and contribute to the achievement of important objectives for the business unit. These decisions may also impact other external functions or groups.

Interpersonal Skills

Demonstrate strong communication skills effectively influencing the beliefs and opinions of peers within the business unit. Build and maintain robust business relationships with key stakeholders to secure their active support.

Reporting and Funding

• The role reports to either the Business Unit (BU) or Center of Excellence (COE).
• Direct reports could include application engineers as well as software and data science engineers.
• Matrix reporting responsibilities extend to BU KPU and COE.
• Collaborate with cross-functional teams including process and product engineers modeling teams data scientists and LLM developers.
• Funding for wafers and metrology is provided directly by BU KPU and projects require KPU endorsement and review.

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.