mid operations Systems Engineer ic 3+ yrs Bachelor's · Posted Feb 9, 2026

About this role

Johns Hopkins APL is hiring a mid-level Systems Engineer in the operations function based in Schriever AFB, CO. The posting calls out experience with Python, Java, C, Configuration Management 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
Schriever AFB, CO
Experience
3+ years
Education
Bachelor's degree
Department
Aerospace Engineering
Posted
Feb 9, 2026
AI Summary
Mid-level Systems Engineer conducting R&D on missile defense and space domain integration. Develops AI/ML algorithms, data fusion solutions, and prototypes for U.S. defensive systems. Requires Bachelor's/Master's in technical field, 3+ years DoD Command and Control experience, programming proficiency, and Top Secret clearance.

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Job description

from Johns Hopkins APL careers
Description

Are you interested in exciting opportunities solving the most important challenges defending the United States, our forces, and our allies from air and missile threats?

 

If so, we’d love to have you join our team!

 

The Cross-Domain Battle Management Group is seeking innovative and hard-working professionals with a degree in a technical field to work with our Colorado Springs team. Join us to work in an exciting and collaborative environment where we tackle challenging technical national security problems. Our group specializes in bridging the missile defense and space domains, with the objective of building capabilities across the services to increase and maintain the Nation’s superiority in missile defense.

 

 

As a Missile Defense Engineer, you will be...

  • Conducting research and development activities creating concepts that identify and fill gaps in the U.S. Defense systems
  • Implementing novel algorithms that redefine the state of the art in our nation's defensive systems
  • Developing sophisticated Artificial Intelligence/Machine Learning approaches for solving complex problems
  • Crafting novel data fusion, object tracking, and discrimination improvements for distributed defensive concepts
  • Using modern programming languages to develop and test technical solutions
  • Developing prototype capabilities and working with real-world systems to transition ideas to fielded systems
  • Testing contractor algorithm implementation against government performance requirements
  • This is an excerpt. Read the full job description on Johns Hopkins APL careers →
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