Principal Quantum Engineer

Simulation Strategy:

Own the simulation roadmap, Density Functional Theory/Molecular Dynamics (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 High-Performance Computing (HPC).

Decision Making:

Communicate clear recommendations, trade-offs, and risks to engineering and leadership. Doctorate in Physics, Engineering, or related field AND 3+ years experience in industry or in a research and development environment OR Master's Degree in Physics, Engineering, or related field AND 6+ years experience in industry or in a research and development environment OR Bachelor's Degree in Physics, Engineering, or related field AND 8+ years experience in industry or in a research and development environment 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). Experience with first-principles simulations (e.g., DFT) and molecular dynamics for materials and interfaces. Experience modeling finite-temperature dynamics and transport in materials (e.g., diffusion, reactions, amorphization) using MD and related methods. Experience with collaborative code development in Python.