About the role
Simulation Strategy: Own the simulation roadmap (DFT/MD), for crystalline and amorphous materials, defects, and interfaces. Validation & Optimization: Build models and propose experiments for validation, benchmarking and optimization. Experiment Alignment: Partner with growth/fab/characterization/device teams to close gaps between theory and data and translate results into process windows and material choices. Tooling & Scale: Architect scalable workflows, libraries, and data standards for reliable, high-throughput studies on HPC. Decision Making: Communicate clear recommendations, trade-offs, and risks to engineering and leadership. Other: Doctorate in Physics, Engineering, or related field AND 3+ years experience in industry or in a research and development environment As stated in the job posting, this position requires verification of citizenship or other protected status to meet legal
requirements of
the role. If
the role requires US citizenship, as indicated in the job description, a valid US passport must be provided to verify your citizenship. If
the role requires US Person status, as indicated in the job description, US citizens must provide a valid US passport for verification while lawful permanent residents, refugees, and asylees may complete this verification using green cards or other status documents, as applicable. These
requirements include, but are not limited to the following specialized security screenings: Ability to work in an “AI-first” environment using modern AI tools to accelerate discovery through both hardware and software development. Ability to design and build AI agents/copilots that assist with experiment setup, log triage, measurement report generation, protocol templating, and knowledge retrieval (e.g. instrument manuals, design docs). Doctorate in Physics, Engineering, or related field AND 5+ years experience in industry or in a research and development environment Demonstrated technical leadership on complex, multi-disciplinary hardware programs Research experience in atomistic and materials modeling in a commercial or academic setting. Experience with first-principles simulations (e.g., DFT) and molecular dynamics for materials and interfaces. Familiarity with modeling dielectric materials, defects, diffusion, and interfaces. Simulation experience of superconducting and semiconducting materials and their interfaces. Experience modeling finite-temperature dynamics and transport in materials (e.g., diffusion, reactions, amorphization) using MD and related methods. Proficiency with high performance computing environments. Experience with collaborative code development in Python.
