Radar Systems Engineer

Johns Hopkins APL · Laurel, MD · Radar

mid operations Systems Engineer ic 3+ yrs Bachelor's · Posted Feb 5, 2026

About this role

Johns Hopkins APL is hiring a mid-level Systems Engineer in the operations function based in Laurel, MD. The posting calls out experience with Data Structures, Machine Learning, Data Analytics and roughly 3+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.

Role
Systems Engineer
Function
operations
Level
mid
Track
Individual contributor
Location
Laurel, MD
Experience
3+ years
Education
Bachelor's degree
Visa
Not sponsored
Department
Radar
Posted
Feb 5, 2026
AI Summary
Radar System Engineer analyzing live tactical sensor data and solving problems impacting Navy and land-based sensor networks. Applies signal processing, machine learning, and physics-based simulations to develop novel algorithms and investigate emergent phenomenology. Collaborates with sensor engineers, software developers, and physicists in a teamed environment.
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Job description

from Johns Hopkins APL careers
Description

Are you interested in playing a critical role in fielding next-generation Navy Radar/EO/IR and Electronic Warfare systems and land-based sensor networks? Do you enjoy working in a creative environment with a team of highly motivated radar engineers? If so, we are looking for someone like you to join our team at APL.

 

We are seeking Radar System Engineers to help field the next generation of Advanced Surface Navy sensors and Land-based Cruise Missile Defense sensor networks. You will work in a teamed environment to analyze live tactical sensor data; identify and solve problems that impact mission requirements; compare to physics-based simulations that provide unprecedented realism and new levels of understanding of system performance in operationally realistic environments in the presence of the world's most challenging threats. 

 

As a Radar System Engineer, you will...

  • Creatively apply your technical skills to identify and solve problems.
  • Collaborate with teams of other sensor engineers, software developers, combat system engineers, and physicists.
  • Invent, explore, and use modeling and simulation (M&S) capabilities, data analysis tools, and machine learning algorithms.
  • Apply signal and data processing tools, including machine learning, to large data sets to develop novel algorithms.
  • Investigate and address problems due to emergent phenomenology.
    • This is an excerpt. Read the full job description on Johns Hopkins APL careers →
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