Principal Computational Physicist
| Company | Northrop Grumman |
|---|---|
| Location | Halethorpe, MD, USA, Annapolis Junction, MD, USA |
| Salary | $127400 – $191200 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree in Science, Technology, Engineering, or Mathematics (STEM) with 5 years of relevant experience; Master’s degree in STEM related field with 3 years of relevant technical experience OR Masters’ degree in STEM related field and currently enrolled in a PhD program with a completion date prior to start with 1 year of relevant technical experience OR PhD in STEM related field with 1 year of relevant technical experience.
- Experience developing physics-based simulation and optimization techniques.
- Experience developing mathematical models to understand experimental results.
- Experience in collaborative scientific software development.
- Proficiency writing code in Python and C++.
- Current active Top Secret (TS/SCI) clearance with polygraph per business requirements. U.S. Citizenship is a prerequisite.
Responsibilities
- Develop, implement, and maintain numerical simulation models and optimization techniques for the design of superconducting devices.
- Use simulation tools to analyze and understand test results on superconducting devices.
- Ensure simulation and optimization tools scale and run efficiently on high-performance computing systems.
- Support modeling & simulation teams running and troubleshooting third-party simulation tools (e.g., Ansys, COMSOL, Cadence) on HPC system (up to 20% of time).
Preferred Qualifications
- PhD in STEM related field with 1 year of relevant technical experience OR Master’s degree in STEM related field with three years of relevant technical experience.
- Experience with developing parallel code (MPI, OpenMP) and with designing scientific code.
- Experience with running and benchmarking scientific software on high-performing computing systems.
- Experience with computational methods (finite differences, finite volumes, finite elements) for solving ordinary and partial differential equations.