Process Lead Engineer

## The group you\u2019ll be a part of\n\n \n\nIn the Global Products Group, we are dedicated to excellence in the design and engineering of Lam\u0027s etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry. \n\n \n\n## The impact you\u2019ll make\n\nAs 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.\n\n## What you\u2019ll do\n\n * Develop physics-based feature-scale models of plasma deposition using SEMulator3D\u00ae, incorporating key physical mechanisms into the models\n * Analyze simulation outputs and compare predicted results with experimental measurements in partnership with process engineering teams\n * Identify gaps or mismatches between simulated and experimental trends and propose model refinements\n * Prepare clear visualizations, summaries, and technical documentation to communicate modeling results and insights\n * Apply ML methods (RSM, Gaussian Processes, Neural Nets, Bayesian optimization) to create fast predictive guidance for experiments\n * Work closely with process engineers to validate and guide both simulations and ML predictions for their customer demos\n * Participate in technical discussions and design reviews to improve methodology and modeling best practices\n * Contribute to internal knowledge sharing by documenting learnings, challenges, and recommended modeling strategies \n\n\n\n## Who we\u2019re looking for\n\nMinimum Qualifications:\n\n * Master\u2019s or PhD in Chemical Engineering, Materials Science, Chemistry or Physics or related field \n * 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)\n * Familiarity with ion/radical transport, sheath behavior, and plasma\u2013surface interaction mechanisms\n * Experience with scientific programming or data analysis tools (e.g., Python, MATLAB)\n * Strong ability and understanding of AI/ML concepts and hybrid physics-based AI/ML modeling software\n * General understanding of uncertainty quantification, Gaussian process regression, Bayesian optimization and probabilistic machine learning\n * Ability to connect modeling outputs with experimental process engineering\n * Excellent communication skills in English, ability to clearly communicate complex technical concepts\n * Team player who thrives in a collaborative environment \u2022 Excellent people skills with demonstrated ability to work effectively and efficiently with diverse teams, customers, internal and external partners ition (PVD)\n * Familiarity with ion/radical transport, sheath behavior, and plasma\u2013surface interaction mechanisms\n * Experience with scientific programming or data analysis tools (e.g., Python, MATLAB)\n * Strong ability and understanding of AI/ML concepts and hybrid physics-based AI/ML modeling software\n * General understanding of uncertainty quantification, Gaussian process regression, Bayesian optimization and probabilistic machine learning \n * Ability to connect modeling outputs with experimental process engineering\n * Excellent communication skills in English, ability to clearly communicate complex technical concepts\n * Team player who thrives in a collaborative environment\n * Excellent people skills with demonstrated ability to work effectively and efficiently with diverse teams, customers, internal and external partners \n\n\n\n## Preferred qualifications\n\n * In-depth understanding of process development for plasma deposition/etch products, process modeling, or virtual fabrication\n * Established skills in building AI/ML models using simulation data\n * Exposure to SEM, TEM, EDS, or metrology data interpretation \n * Basic understanding of feature-scale or reactor-scale simulations\n * Familiarity with software product development methodologies \n\n\n\n## Our commitment\n\n \n\nWe 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.\n\nLam 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\u0027s intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.\n\nLam 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 \u2013 On-site Flex and Virtual Flex. \u2018On-site Flex\u2019 you\u2019ll 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. \u2018Virtual Flex\u2019 you\u2019ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.\n