MD, Process Engineer

MD, Process Engineer page is loaded## MD, Process Engineer locations:
Santa Clara,CAtime type:
Full time posted on:
Posted Todayjob requisition :
R2610442
** 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:$ - $

Location:

Santa Clara,CAYou’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 .#

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.##

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Key Responsibilities
* Deliver future node (N+4) 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 company's 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,…