At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

About this position:

We are seeking a computational scientist or applied mathematician who wants to make significant contributions to a growing numerical simulation team. The ideal candidate has significant experience in the numerical simulation of partial differential equations, knowledge of state-of-the art methods employed in scientific computation, and the ability to analyze deterministic or stochastic differential equations using techniques commonly utilized in applied mathematics. Strong candidates are willing to learn about emerging technologies and can effectively communicate their knowledge to others. This candidate is expected to aid in the development of algorithms, codes, and analytical tools that contribute to numerically solving complex mathematical models of physical phenomena related to superconductivity.

This position requires work on site located at our Advanced Technology Lab (ATL) in Linthicum, Maryland.

Your responsibilities:

• Develop and implement algorithms, routines, and codes in C/C++ and Python for efficiently solving partial differential equations in a high-performance computing (HPC) environment.
• Develop mathematical/physical models for the accurate description of superconductivity, electromagnetism, and quantum-mechanical systems.
• Collaborate with numerical simulation team members on code development, testing and validation of simulation tools, and analysis of mathematical or numerical models.
• Frequently communicate with the simulation team, physicists, engineers, and organizational leadership to determine development requirements and report on progress.
• Document methods and results in technical papers and presentations.

What you need to be successful in the role:

• Creative problem-solving skills.
• Motivation to learn new technologies and technical skills necessary to advance them.
• Ability to collaborate in a small group setting as well as work independently.
• Interdisciplinary communication skills.

This position can be filled at the Principal level OR Sr. Principal level.  Qualifications for both are listed below:

Basic Qualifications for a Principal Computational Scientist:

• Bachelor of Science in scientific computation, applied mathematics, computer science, engineering, physics, or a related field and 5 years of related experience; Masters and 3 years of related experience; PhD and 0 years’ experience.
• Knowledge of algorithms, methods, software libraries, and other tools commonly used in scientific computation.
• Proficiency writing code in C/C++ or Fortran.
• Ability to obtain and maintain a Top Secret (TS/SCI) clearance per business requirements. US Citizenship is a requirement of this.

Preferred Qualifications:

• PhD in scientific computation, applied mathematics, computer science, engineering, physics, or related field.
• Background in scientific computation, numerical analysis, or HPC.
• Experience in any of the following:
  • Implementing numerical methods for numerically solving partial differential equations, nonlinear algebraic equations, or differential-algebraic systems of equations.
  • Applying mathematical methods in the analysis or solution of deterministic or stochastic differential equations.
  • Developing mathematical models or validating models against experimental data.
  • Working in a high-performance computing environment.
  • Writing MPI-based parallel codes and/or scientific codes that make use of general-purpose GPUs.
  • Writing code in Python
• Knowledge of superconducting physics, quantum mechanics, or condensed matter physics.
• Active TS/SCI clearance.

Basic Qualifications for a Sr. Principal Computational Scientist:

• Bachelor of Science in scientific computation, applied mathematics, computer science, engineering, physics, or a related field and 9 years of related experience; Masters with 7 years of experience; PhD with 4 years of experience in a scientific computation, numerical analysis, or high-performance computing (HPC).

• Experience implementing numerical methods or leveraging established software libraries to solve partial differential equations, nonlinear algebraic equations, differential-algebraic systems of equations, sparse linear algebra problems.
• Strong proficiency writing code in C/C++ or Fortran; experience writing code in Python.
• Ability to obtain and maintain a Top Secret (TS/SCI) clearance per business requirements. US Citizenship is a requirement of this.

Preferred Qualifications:

• PhD in scientific computation, applied mathematics, computer science, engineering, physics, or related field.
• Significant experience numerically solving partial differential equations in an HPC environment.
• Experience in any of the following:
  • Writing MPI-based parallel codes and/or scientific codes that make use of general-purpose GPUs.
  • Applying mathematical methods in the analysis or solution of deterministic or stochastic differential equations.
  • Developing mathematical models or validating models against experimental data.
• Knowledge of superconducting physics, quantum mechanics, or condensed matter physics
• Active TS/SCI clearance.