Overview In this role you will apply atomistic modeling and quantum chemistry to advance semiconductor processes. You will contribute to materials science and surface engineering efforts within the Semiverse Solutions Team, shaping new chemistries and process concepts. You will build datasets and support simulation-driven process development, collaborating with cross-functional partners. Your work aims to extend the capabilities of next-generation semiconductor technologies, providing clear insights to stakeholders. This is a technically deep, impact-focused position with leadership responsibilities in mentoring juniors.
Responsibilities- Perform first-principles calculations and atomistic modeling to study reaction mechanisms, surface chemistry, plasma-surface interactions, and materials behavior
- Generate high-fidelity training datasets from quantum chemistry and DFT calculations to support development of next-generation simulation capabilities
- Support process engineering R&D and process/chamber/feature simulations through computational chemistry
- Plan projects defining new concepts and approaches for simulation evaluation workflows
- Compile and evaluate modeling data to guide chemistries, materials, and process specification limits/variables
- Communicate chemistry and process insights through presentations and technical discussions with stakeholders
- Act as a resource for colleagues with less experience in atomistic simulations
Key requirements- Ph.D. in the stated fields (or equivalent)
- 5-8 years of industry experience post-Ph.D.
- Experience using DFT software (Gaussian, Quantum Espresso)
- Experience with frontier molecular orbital analysis and full reaction pathway studies
- Experience applying quantum chemistry fundamentals to semiconductor processes and materials applications
- Experience with MLIP architectures (e.g. MACE, SevenNet)
- Strong organizational skills and ability to manage multiple tasks
- Interest in advanced technology and continuous learning
- Ability to work effectively with diverse teams
- clear communication of complex chemistry concepts
- collaboration across cross-functional teams
- strong organizational and multitasking abilities
- DFT software (Gaussian, Quantum Espresso)
- frontier molecular orbital analysis
- full reaction pathway studies
