Senior EO/IR Image Processing Engineer

Northrop Grumman Corp.

Chandler (AZ)

Sur place

USD 168 000 - 252 000

Plein temps

Il y a 13 jours
Générateur de candidature

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Avantages offerts par ce poste

Health insurance
Life insurance
Disability insurance
Savings plan
Holidays and PTO

Résumé du poste

Northrop Grumman Space Systems is seeking a Staff EO Signal Image Processing Engineer in Chandler, AZ, to lead the development of advanced EO/IR simulations and physics-based models. You will mentor junior engineers and collaborate with GNC, software, and hardware teams to ensure flight-test readiness and program success.

You will apply expert-level EO/IR phenomenology, manage scene generators, and drive modeling standards and verification across disciplines.

Qualifications

  • Breadth: image/signal processing algorithms & physical optics system simulation for EO/IR.
  • Experience coordinating and leading teams to deliver models and algorithm solutions for EO/IR systems.
  • Proven leadership in modeling and simulation for complex, high-reliability systems.

Responsabilités

  • Lead development of high-fidelity seeker simulations and physics-based models (6DOF).
  • Oversee modeling, simulation, and algorithm development for program objectives.
  • Develop and integrate image/signal processing algorithms into simulations; optimize performance.

Connaissances

Image/signal processing
C/C++
Python
MATLAB
Agile methodologies
JIRA
Mentoring
System integration

Formation

Bachelor's degree in Optical Eng / Electrical Eng / Physics / Math
MS/PhD in Optical Eng / Electrical Eng / Physics / Math

Outils

MSLRAD
Linux
High-Performance Computing

Description du poste

Northrop Grumman Space Systems is seeking a Staff EO Signal Image Processing Engineer in Chandler, AZ, to lead the development of advanced EO/IR simulations and physics-based models. You will mentor junior engineers and collaborate with GNC, software, and hardware teams to ensure flight-test readiness and program success.

You will apply expert-level EO/IR phenomenology, manage scene generators, and drive modeling standards and verification across disciplines.

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