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Decision Systems Engineer

Johns Hopkins Applied Physics Laboratory (APL)Laurel, Maryland🇺🇸United StatesPosted 6 Sept 2026

Why This Role Stands Out

This hybrid role at Johns Hopkins APL offers a unique opportunity to design and analyze critical decision-support systems that impact national security, space, and health, fostering significant professional growth and skill development. You'll thrive here if you're a mid-senior engineer with expertise in systems engineering, modeling, and decision analysis, eager to collaborate with diverse teams on cutting-edge technology. Apply now to contribute to impactful missions and advance your career in a research-focused environment.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Laurel, Maryland, United States

Job Description

As a Decision Systems Engineer at Johns Hopkins Applied Physics Laboratory (APL), you will design and analyze complex decision-support systems that inform critical missions in national security, space exploration, and health. You'll develop models, simulations, and analytic frameworks to evaluate alternatives, quantify risk, and optimize performance. Collaborating with multidisciplinary experts, you'll translate mission needs into technical architectures, conduct trade studies, and deliver actionable insights. APL's mission-driven, research-focused culture supports continuous learning, innovation, and professional growth.

Responsibilities

  • Design and analyze decision-support systems for complex missions
  • Develop models, simulations, and analytic frameworks for trade studies
  • Translate mission needs into system requirements and architectures
  • Perform quantitative risk, performance, and sensitivity analyses
  • Collaborate with multidisciplinary teams across domains
  • Document methods, assumptions, and findings for technical audiences
  • Present results and recommendations to sponsors and stakeholders
  • Support research, prototypes, and experiments to mature new methods

Required Skills

  • Systems engineering
  • Decision analysis
  • Modeling and simulation
  • Requirements analysis
  • Data analytics
  • Risk assessment
  • Algorithm development
  • Systems architecture
  • Technical documentation
  • Stakeholder communication

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