The group you'll be a part of

In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.

The impact you'll make

As a Process Engineer at Lam, you will operate on cutting-edge technology, harnessing atomic precision, material science, and surface engineering to push technical boundaries. Your role involves developing new and advanced process formulations, defining equipment hardware to meet processing requirements, evaluating test data, and coordinating design requirements to ensure compatibility of processing methods. Your expertise and knowledge play a crucial role our customers success, making an impact on the next generation of semiconductor breakthroughs.

What You'll Do

Develop physics-based feature-scale models of plasma deposition using SEMulator3D®, incorporating key physical mechanisms into the models
Analyze simulation outputs and compare predicted results with experimental measurements in partnership with process engineering teams
Identify gaps or mismatches between simulated and experimental trends and propose model refinements
Prepare clear visualizations, summaries, and technical documentation to communicate modeling results and insights
Apply ML methods (RSM, Gaussian Processes, Neural Nets, Bayesian optimization) to create fast predictive guidance for experiments
Work closely with process engineers to validate and guide both simulations and ML predictions for their customer demos
Participate in technical discussions and design reviews to improve methodology and modeling best practices
Contribute to internal knowledge sharing by documenting learnings, challenges, and recommended modeling strategies

Minimum Qualifications

Who we're looking for

Master's or PhD in Chemical Engineering, Materials Science, Chemistry or Physics or related field
Basic understanding and working knowledge of plasma-based Semiconductor deposition processes such as Plasma Enhanced Atomic Layer Deposition (PEALD), Plasma Enhanced Chemical Vapor Deposition (PECVD) and Physical Vapor Deposition (PVD)
Familiarity with ion/radical transport, sheath behavior, and plasma–surface interaction mechanisms
Experience with scientific programming or data analysis tools (e.g., Python, MATLAB)
Strong ability and understanding of AI/ML concepts and hybrid physics-based AI/ML modeling software
General understanding of uncertainty quantification, Gaussian process regression, Bayesian optimization and probabilistic machine learning
Ability to connect modeling outputs with experimental process engineering
Excellent communication skills in English, ability to clearly communicate complex technical concepts
Team player who thrives in a collaborative environment
Excellent people skills with demonstrated ability to work effectively and efficiently with diverse teams, customers, internal and external partners ition (PVD)
Familiarity with ion/radical transport, sheath behavior, and plasma–surface interaction mechanisms
Experience with scientific programming or data analysis tools (e.g., Python, MATLAB)
Strong ability and understanding of AI/ML concepts and hybrid physics-based AI/ML modeling software
General understanding of uncertainty quantification, Gaussian process regression, Bayesian optimization and probabilistic machine learning
Ability to connect modeling outputs with experimental process engineering
Excellent communication skills in English, ability to clearly communicate complex technical concepts
Team player who thrives in a collaborative environment
Excellent people skills with demonstrated ability to work effectively and efficiently with diverse teams, customers, internal and external partners

Preferred Qualifications

In-depth understanding of process development for plasma deposition/etch products, process modeling, or virtual fabrication
Established skills in building AI/ML models using simulation data
Exposure to SEM, TEM, EDS, or metrology data interpretation
Basic understanding of feature-scale or reactor-scale simulations
Familiarity with software product development methodologies

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research (Lam or the Company) is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. On-site Flex you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. Virtual Flex you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Lead - Process Modeling Engineer