onsite
Strategic Deterrent Nuclear Survivability Analyst - Johns Hopkins University Applied Physics Laboratory
Software Engineer
Perform advanced physics and engineering analyses to improve the survivability, reliability, and credibility of U.S. strategic nuclear systems using high‑fidelity modeling, Monte Carlo methods, and data‑driven risk assessment.
About the role
Key Responsibilities
- Develop and execute high‑fidelity system models of strategic nuclear platforms to assess survivability under diverse threat scenarios.
- Apply Monte Carlo and probabilistic risk analysis techniques to quantify reliability and credibility metrics.
- Integrate multidisciplinary data (physics, engineering, operational) into simulation frameworks using MATLAB, Python, and C++.
- Produce technical reports and visualizations that support decision‑making for senior leadership and policy makers.
- Collaborate with cross‑functional teams, including weapons engineers, analysts, and security specialists, to validate assumptions and refine models.
Requirements
- Master’s degree or higher in Nuclear Engineering, Physics, Systems Engineering, or a related field.
- Proficiency in MATLAB, Python, and C++ for scientific computing and large‑scale simulations.
- Experience with Monte Carlo methods, probabilistic risk assessment, and high‑performance computing environments.
- Strong analytical skills and ability to translate complex physical phenomena into actionable model parameters.
- Active U.S. security clearance (or ability to obtain one) and ability to work on classified projects.