Thermal and Infrared Signature Analyst
Johns Hopkins APL · Laurel, MD · Aerospace Engineering
About this role
Johns Hopkins APL is hiring a mid-level Data Analyst based in Laurel, MD. The posting calls out experience with Python, Linux and roughly 2+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.
- Role
- Data Analyst
- Function
- data engineering
- Level
- mid
- Track
- Individual contributor
- Location
- Laurel, MD
- Experience
- 2+ years
- Education
- Bachelor's degree
- Department
- Aerospace Engineering
- Posted
- Jan 6, 2026
More roles at Johns Hopkins APL
Job description
from Johns Hopkins APL careersAre you looking for a unique opportunity to impact significant advances to the nation's groundbreaking integrated air and missile defense (IAMD) systems?
Are you an engineer driven to expand your skills in order to solve both current and emerging needs of the Department of Defense (DoD) and Intelligence Community (IC)?
Would you like to join a team of skilled engineers and scientists to advance thermal and Electro-Optical (EO)/Infrared (IR) capabilities?
If so, we're looking for someone like you to join our team at APL!
We are seeking a creative, driven, and motivated engineer to join our dynamic group which provides outstanding engineering services and products. You’ll be joining a hardworking team of people who strive to address broad challenges for programs of national importance. As a member of our team you will collaborate, contribute, and innovate to further our capabilities against rapid proliferation of adversarial systems.
As a Thermal and Infrared Signature Analyst, you will…
- Apply strong attention to detail to predict EO/IR signature phenomenologies of missiles, rocket motor plumes, air platforms, and relevant background scenes in endo and exo-atmospheric flight conditions in support of IAMD technology development and other programs
- Interact with various domain authorities to grow your knowledge base related to overall weapon systems, and apply that knowledge to improve analysis methodologies