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Sr Principal Cyber Architect

Job in Aurora, Arapahoe County, Colorado, 80012, USA
Listing for: Northrop Grumman Corp. (AU)
Full Time position
Listed on 2026-02-27
Job specializations:
  • Engineering
    Software Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

RELOCATION ASSISTANCE:
Relocation assistance may be available

CLEARANCE TYPE:
Top 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.

The Payload and Ground Systems organization within the Northrop Grumman Space Systems pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered by providing the skills, innovative technologies to develop, design, produce and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. Come be a part of our mission.

Northrop Grumman Space Systems Sector is looking for you to join our team as a Sr. Principal Software Engineer based out of Aurora, CO. MAC-D is a developing product line that uses signal processing and advanced analytics alongside RF hardware to capture and exploit signals of interest and provide mission-critical data to the users.

What You’ll get to Do: We are looking for a Software Engineer experienced in Python and machine learning who wants to work on an agile development team using modern development practices tackling both new development and operational support of systems that advance National Security. Our Aurora campus has numerous programs in all phases on the development and operational lifecycle, from smaller single scrum team efforts to larger multi-team efforts, some that leverage remote teams from other Northrop Grumman sites.

Many of our programs are using a micro-service event driven by architecture using Docker Containers and Kubernetes. We are flexible and career growth focused, permitting staff to either deepen skills on one program or seek other internal opportunities over time to broaden skills, experiences, and mission exposure.

About our organization: As a Software Engineer, you'll be joining our growing Aurora Software and Digital Engineering department which has 200+ Software Engineer, Dev Ops Engineer, Systems Administrator, Database Administrator, and Network Engineer peers from entry-level to the most senior chief engineers and architects. Principal Software Engineers frequently get into informal (example: Subject Matter Expert) and formal technical leadership roles within their programs, as applicable and per interest.

We have plenty of opportunities for career advancement into higher level technical roles or leadership positions. Our Software Department is part of a larger organization that includes Systems Engineering, Integration, and Test staff as well as a Hardware Engineering unit. This larger organization influences cross-program collaboration, professional development and training, as well as engagement and inclusion activities such as lunch-n-learns, campus events, and leadership mixers.

Some of the roles and responsibility you might perform: Define, develop, and deliver novel mathematical and statistical modeling and algorithm products to tackle the challenges of prediction, optimization, and classification. Apply machine learning algorithms to large sets of structured and unstructured data to solve a broad range of problems that include applications in pattern recognition, target detection and tracking, machine learning and decision systems, and false alarm mitigation.

Prototype advanced artificial intelligence techniques to stretch the capability of autonomous systems research and development programs. Design, develop,…

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