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Northrop Grumman is seeking a computational physicist to develop and implement simulation and optimization techniques for novel experimental applications, specifically for superconducting devices, to support the company's mission in global security.

Requirements

• Experience developing physics-based simulation and optimization techniques.
• Experience developing mathematical models to understand experimental results.
• Experience in scientific software development.
• Proficiency writing code in Python.
• Experience with running scientific software on high-performing computing systems.
• Experience in numerical optimization (e.g., Bayesian optimization, gradient-based optimization).
• Experience with simulating qubits, quantum information, or superconducting electronics.

Responsibilities

• Develop and implement simulation models and optimization techniques for novel experiments on superconducting devices.
• Use simulation tools to analyze and understand test results on superconducting devices.
• Support the current and future development of simulation tools within function, cost, and schedule constraints.
• Mentor junior staff.

Other

• Must be able to obtain and maintain a U.S. Government security clearance per business requirements.
• This position requires the applicant to be a U.S. citizen.
• PhD in theoretical physics, applied mathematics, or a relevant engineering STEM field plus 8 years of relevant technical experience; Master's degree in theoretical physics, applied mathematics, or a relevant engineering STEM field plus 10 years of relevant technical experience; Bachelor's degree in theoretical physics, applied mathematics, or a relevant engineering STEM field plus 12 years of relevant technical experience.
• Ability to present technical results to a wide range of audiences.
• Ability to collaborate in small groups (4-7 people) and to work independently.