Sr. Principal EO Signal Image Processing Engineer - 4
Northrop Grumman
- Location
- United States-Arizona-Chandler
- Work model
- On-Site
- Level
- Principal
- Posted
- 1d ago
Skills
About this role
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Space Systems is looking for a Sr. Principal EO Signal Image Processing Engineer to support the Launch Vehicles business unit in Chandler, Arizona. You will work as a technical leader on the electro-optical infrared (EO/IR) modeling, algorithm, and simulation (MAS) group within the Seeker Integrated Product Team (IPT). Responsibilities include the design, development, verification, and implementation of image processing algorithms, high‑fidelity simulation tools, and physics‑based models supporting seeker development and flight test. The team develops and maintains high‑fidelity 6‑DOF simulations, evaluates seeker performance in relation to algorithms and hardware, and builds/maintains the seeker test suite. The selected candidate will lead complex modeling and simulation (M&S) efforts, mentor junior engineers, and collaborate across disciplines and programs in a fast‑paced, team‑oriented environment.
Responsibilities
Lead development of high-fidelity seeker simulations and physics-based models (including closed loop 6DOF) for design, performance assessment, and flight test support. Coordinate and oversee the efforts of team members to ensure timely completion of models and algorithm development in alignment with the program schedule. Design and implement image/signal processing algorithms and integrate them into the simulation framework, conducting trade studies and sensitivity analyses to assess performance and robustness. Apply EO/IR phenomenology and advanced physics concepts to create realistic models of seeker hardware, scenes, and flight environments, including use of scene generators (e.g., MSLRAD or similar). Develop, maintain, and optimize modeling and analysis tools in C/C++, Python, and MATLAB for use in high performance computing (HPC) environments. Collaborate with GNC, systems, software, firmware, and hardware teams to plan and execute M&S activities, support requirements flow down, and define verification approaches. Support HWIL, lab, and real time test activities, correlating simulation predictions with test/flight data and leading root cause analysis and model updates. Provide technical leadership and briefings to internal and external stakeholders, including participation in design and readiness reviews. Mentor early career and mid-level engineers and drive continuous improvement in modeling standards, coding practices, and configuration management. Promote continuous improvement in coding standards, configuration management, and verification practices within the M&S team.
Basic Qualifications
Bachelor’s degree in Optical Engineering, Electrical Engineering, Physics, Math, or related discipline from an accredited university and 8 years of related experience; or Master’s degree and 6 years of related experience; or PhD and 4 years of related experience. Active U.S. Government DoD Secret security clearance at time of application, current and within scope. Experience with video/image processing algorithms such as