Semiconductor Device Modeling Engineer
$140,700–$175,950 year
On-siteMalibu, California, United States
Job Summary
Model state-of-the-art electronic technologies like FinFETs and gate-all-around transistors using commercial and proprietary device simulation tools. Design and analyze classical and quantum nanodevices, including semiconductor spin qubits, while focusing on semiclassical and quantum transport, electrostatic integrity, and response to device stressors such as heat and strain. Interpret experimental data to predict and optimize performance by working in tight feedback loops with fabrication and test efforts. This role supports HRL's mission to advance critical structural and functional materials for precision navigation and quantum technologies within a fast-paced, collaborative team.
Required Qualifications
- Ph.D. in Electrical Engineering, Applied Physics, or a related discipline
- Experience with commercial semiconductor TCAD (technology computer-aided design) tools such as Sentaurus Device and Process
- Experience with general purpose multiphysics simulation software (such as COMSOL)
- Expertise in fundamental theory and computational modeling of the electronic, optical, thermal, and magnetic properties of semiconductor materials and devices
- Ability to collaborate and communicate effectively with fellow team members
- Ability to present ideas and results in technical presentations
- Ability to contribute to written research reports
- US person
- Ability to spend extended periods of time at a computer monitor
- Excellent written and verbal communication skills
- Ability to work in a fast-paced environment with other team members
- Excellent problem-solving skills
- We maintain a drug-free workplace and perform pre-employment substance abuse testing
Desired Qualifications
- Experience developing and applying semiclassical and quantum transport techniques for semiconductor devices such as the Boltzmann transport equation (BTE) and non-equilibrium Green's functions (NEGF)
- Background in collaborative code development utilizing multiple computer languages, including C++ and Python
- Applied knowledge of numerical analysis and scientific computing techniques, including high-performance computing platforms
- Detailed understanding of semiconductor fabrication and characterization techniques, such as epitaxial growth, lithography, electrical characterization, optical spectroscopy, and/or microscopy
- Strong understanding of semiconductor process flow, layout, and basic circuit design/simulation
- Experience in device design for extreme environments such as cryogenic, radiation, or high temperature
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