Combat Systems Analyst: Aegis & Missile Defense Expert

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

Job summary

Johns Hopkins University Applied Physics Laboratory (APL) seeks a Systems Engineer skilled in MATLAB and Python to analyze combat systems data for current and future missile defense platforms. You will collaborate with sponsors and prime contractors to root out performance issues and craft corrective actions, while building domain expertise in Aegis decision algorithms.

Applicants should hold a BS or higher in a relevant engineering or scientific field, have 2+ years of combat systems data

Qualifications

• BS degree or higher in Systems Engineering, Electrical and Computer Engineering, Aerospace Engineering, Computer Science, Applied Physics, Mathematics, or a comparable background.

Responsibilities

• Validate system performance for current and future Integrated Air and Missile Defense Systems through analysis of ground test, flight test, and operational data.
• Develop novel techniques to improve analysis processes and anomaly identification.
• Collaborate with sponsors and prime contractor representatives to perform root cause analysis of performance deficiencies and develop corrective actions.
• Develop domain expertise and knowledge of Aegis command‑and‑decision algorithms and IAMD concepts.

Skills

MATLAB

Python

Education

BS or higher in Systems Engineering, Electrical/Computer Engineering, Aerospace, CS, Applied Physics, Mathematics

Job description

Johns Hopkins University Applied Physics Laboratory (APL) seeks a Systems Engineer skilled in MATLAB and Python to analyze combat systems data for current and future missile defense platforms. You will collaborate with sponsors and prime contractors to root out performance issues and craft corrective actions, while building domain expertise in Aegis decision algorithms.

Applicants should hold a BS or higher in a relevant engineering or scientific field, have 2+ years of combat systems data