Flight Test Strategy & Design Engineer
Johns Hopkins APL · Laurel, MD · Aerospace Engineering
About this role
Johns Hopkins APL is hiring a mid-level QA Engineer in the software engineering function based in Laurel, MD. The posting calls out experience with Python, System Design, Testing, Configuration Management and roughly 1–2 years of relevant work. Listed education preference: a bachelor's degree or equivalent.
- Role
- QA Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Location
- Laurel, MD
- Experience
- 1–2 years
- Education
- Bachelor's degree
- Department
- Aerospace Engineering
- Posted
- Feb 23, 2026
More roles at Johns Hopkins APL
Job description
from Johns Hopkins APL careersAre you interested in designing flight test experiments to exercise current and evolving Air and Missile Defense Weapon Systems?
Do you have a background or interest in Test and Evaluation of weapon systems?
If so, we 're looking for someone like you to join our team at APL!
We are seeking a creative and forward-thinking engineer to help us define test strategy, test design, and perform flight test analysis for Aegis Weapon System, Standard Missile, and other evolving weapon system programs. This work includes developing scenarios to rigorously exercise weapon system capabilities and analyze data to validate and advance weapon system development.
We are actively planning for future tests that integrate multiple Missile Defense Agency weapon systems in layered homeland defense scenarios, and taking on challenges such as hypersonic threat vehicles and raids. As a member of our team, you will craft scenario concepts that test new and evolving capabilities, conduct pre-flight mission analysis, interact with team members across the Air and Missile Defense Sector, and coordinate technical efforts across sponsor and contractor organizations.
As a Flight Test Strategy & Design Engineer...
- Your primary responsibility will be to assess and understand weapon system requirements and designs, and their implications to test execution, modeling, scenario planning, and safety.