Computational Chemistry​/MD Engineer

The group you’ll be a part of

In the Semiverse Solutions Team, we are dedicated to excellence in the virtual experimentation of Lam’s etch and deposition processes. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.

As a Staff Computational Chemistry/MD Engineer at Lam, you will operate on cutting-edge technology, harnessing atomic precision, materials science, and surface engineering to push technical boundaries. Your role involves identifying new and advanced processes and chemical formulations. Your expertise and knowledge will play a crucial role in our customers’ success, making an impact on next generation semiconductor technologies.

Technical

• Perform first-principles calculations and atomistic modeling to investigate reaction mechanisms, surface chemistry, plasma-surface interactions, and materials behavior
• Generate high fidelity training datasets from quantum chemistry and density functional theory (DFT) calculations to support development of next-generation simulation capabilities
• Utilize computational chemistry learning to support process engineering research & development, and process/chamber/feature simulations
• Plan projects involving definition and selection of new concepts and approaches for simulation evaluation workflows
• Compile and evaluate modeling data to provide guidance on chemistries and materials, as well as appropriate limits and variables for process specifications
• Communicate chemistry and process insights clearly through presentations and technical discussions with stakeholders

Leadership

• Act as a resource for colleagues with less experience in atomistic simulations

• Ph.D. in Computational Chemistry, Chemistry, Chemical Engineering or Materials Science (or equivalent)
• 5-8 years of industry experience, post Ph.D.
• Experience using DFT software (e.g. Gaussian, Quantum Espresso)
• Experience with frontier molecular orbital analysis and full reaction pathway studies
• Experience applying quantum chemistry fundamentals to solve challenges related to semiconductor processes and materials applications
• Experience with MLIP architectures (e.g. MACE, Seven Net)
• Strong organizational skills and demonstrated ability to manage multiple tasks simultaneously
• Interest in advanced technology and an on-going desire to learn
• Ability to work effectively and efficiently with diverse teams

• Experience with reactive molecular dynamics (e.g. ReaxFF)