Quantitative Systems Engineer — Resilient Software & Networks

The Johns Hopkins University Applied Physics Laboratory

Laurel (MD)

On-site

USD 100,000 - 245,000

Full time

6 days ago
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Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) seeks a Quantitative Systems Engineer to evaluate resilient software- and network-focused architectures for national defense. You will perform rigorous design analysis of complex, software‑intense systems, examining data flows, latency, failover, and network survivability.

You will construct and interrogate Cameo/MagicDraw models (SysML), run quantitative trade studies, and translate findings into actionable architectural

Qualifications

  • BS in Software Engineering, Computer Science, Computer Engineering, Network Engineering or related field.
  • 2+ years of experience in quantitative software design analysis or architecture.
  • Experience evaluating interfaces, data pipelines, and distributed communications.
  • Familiarity with MBSE tools such as Cameo/MagicDraw (SysML) and architecture modeling.

Responsibilities

  • Perform rigorous design analysis of complex, software-intensive architectures.
  • Evaluate system-level data flows, protocol latency, failover mechanisms, and survivability.
  • Construct and interrogate structural and behavioral models in Cameo/MagicDraw.
  • Conduct quantitative trade studies and communicate findings to sponsors and contractors.

Skills

Quantitative analysis
System modeling
Cross-functional collaboration

Education

BS in Software Engineering, CS, CE, Network Engineering
MS in Software Engineering / related discipline

Tools

Cameo/MagicDraw
SysML

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) seeks a Quantitative Systems Engineer to evaluate resilient software- and network-focused architectures for national defense. You will perform rigorous design analysis of complex, software‑intense systems, examining data flows, latency, failover, and network survivability.

You will construct and interrogate Cameo/MagicDraw models (SysML), run quantitative trade studies, and translate findings into actionable architectural

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