Strategic Systems Modeling & Performance Engineer

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 100,000 - 245,000; Full time

Job summary

Johns Hopkins Applied Physics Laboratory (APL) in Laurel, MD seeks a Systems Engineer (Systems Modeling & Performance Analyst) to validate system-of-systems behavior through rigorous quantitative analysis, integrating physics-based and statistical models in a digital engineering framework.

The role focuses on evaluating resilience and performance across national defense missions, requiring MBSE tool proficiency, and periodic travel to sponsor facilities.

Qualifications

• BS in Physics, Applied Mathematics, or engineering with strong modeling & data analysis.
• 2+ years of quantitative data analysis, physics-based simulations, or test data reduction.
• Experience developing analytical tools and evaluating experimental datasets.
• Knowledge of Systems Engineering verification/validation and MBSE tools (Cameo/MagicDraw).
• Willingness to travel ~5–10% to test ranges and facilities.
• Active Secret clearance and ability to obtain TS/SCI; U.S. citizenship required.

Responsibilities

• Interpret and integrate physics-based and statistical models within a digital engineering framework to analyze complex system behaviors and reduce empirical data.
• Analyze designs and experimental/test data to identify risks and gaps in model representations.
• Perform analytical trade studies and sensitivity assessments on environmental variations and degradation effects.
• Interface with digital engineering environments, mapping proofs and verification criteria to system architecture.

Skills

Quantitative data analysis

Physics-based simulations

Experimentation & testing

SysML integration

Education

BS in Physics

MS in Physics or related

Tools

Cameo Enterprise Architect

MagicDraw

Job description

Johns Hopkins Applied Physics Laboratory (APL) in Laurel, MD seeks a Systems Engineer (Systems Modeling & Performance Analyst) to validate system-of-systems behavior through rigorous quantitative analysis, integrating physics-based and statistical models in a digital engineering framework.

The role focuses on evaluating resilience and performance across national defense missions, requiring MBSE tool proficiency, and periodic travel to sponsor facilities.