Computational Materials Engineer – Staff Engineer
| Company | Western Digital |
|---|---|
| Location | San Jose, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Mid Level, Senior |
Requirements
- 3+ years or higher experience in computational materials science with strong background in solid-state physics and devices
- PhD in Physics, Materials Science, Electrical Engineering or Chemistry
- Expert knowledge of atomistic computational modeling techniques such as density functional theory and classical molecular dynamics
- Experience with first principles codes including Quantum ATK, VASP, Quantum Espresso, Questaal, and KKR-CPA approaches
- Experience with classical molecular dynamics approaches such as LAMMPS
- Familiarity with PAOFLOW or WANNIER90
- Experience with broad computational material searches and machine learning techniques relevant for atomistic simulations
- Experience in magnetism and magnetic materials, spin-orbit interactions, ordered and disordered materials, electronic, spin and thermal transport
- Experience predicting transport properties from first principles using either non-equilibrium Green’s function techniques (NEGF) or Kubo-Greenwood formalism would also be a plus
- Competent programming skills and familiarity with high performance computing environments
- Excellent written communication and organizational skills
- High attention to detail
- Strong work ethic
Responsibilities
-
No responsibilities provided.
Preferred Qualifications
- Experience predicting transport properties from first principles using either non-equilibrium Green’s function techniques (NEGF) or Kubo-Greenwood formalism would also be a plus