Systems Engineer/Principal Systems Engineer (AHT)
Northrop Grumman · 2 Locations
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Staff · Onsite · Full 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 is seeking a Modeling and Simulation Engineer with a focus on MATLAB/Simulink to join our team supporting NASIC/NSIC and related intelligence missions.
You will help develop, modify, and apply physics‑based models of mechanical and aerospace systems to support mission‑level analysis of current and future military capabilities.
Domestic travel (up to 10%) may be required, dependent on program needs.
Responsibilities
- Develop, modify, and validate TMAP models to represent mechanical, aerospace, and space‑related systems in support of intelligence analysis.
- Use MATLAB/Simulink (especially Simulink) to develop and integrate component‑ and system‑level models and to support analysis workflows.
- Integrate TMAP and MATLAB/Simulink models with broader modeling & simulation environments, including AFSIM and other tools when appropriate.
- Collaborate with a multi‑disciplinary team of engineers, analysts, and government/DoD personnel to:
- Understand system behavior and mission context
- Translate analysis requirements into model architectures
- Quantify and communicate uncertainty, assumptions, and limitations.
- Apply coding skills (e.g., Python, C++, or similar languages) to automate workflows, process data, and support model execution.
- Contribute to technical documentation and intel‑based reports that describe modeling approaches, input assumptions, and analytical findings.
- Work within an Agile development environment, using tools such as Jira to manage tasks and collaborate effectively.
- Communicate technical information and results clearly to both technical and non‑technical audiences.
This position may be filled as a level 2 or 3 based on the qualifications below.
Basic Qualifications
- Systems Engineer (Level 2): Bachelor of Science degree in Computer Science, Software Engineering, or related STEM discipline and 2+ years of relevant experience; or a Master of Science degree in a related STEM discipline and 0 years of relevant experience.
- Systems Engineer (Level 3): Bachelor of Science degree in Computer Science, Software Engineering, or related STEM discipline and 5+ years of relevant experience; or a Master of Science degree in a related STEM discipline and 3+ years of relevant experience.
- U.S. Citizenship with an active TS/SCI security clearance (and ability to maintain it).
- Experience using MATLAB, with strong proficiency in Simulink.
- Hands‑on coding experience in one or more languages (e.g., Python, C++, MATLAB).
- Demonstrated familiarity with modeling & simulation of mechanical or aerospace systems.
- Ability to work both independently and collaboratively within a technical team.
- Strong written and verbal communication skills.
Preferred Qualifications
- Prior experience using or modifying TMAP models, especially in an IC or NASIC/NSIC context.
- Experience with AFSIM or other modeling & simulation platforms (e.g., STK, NGTS, ITASE).
- Experience working on Agile development teams, including use of Jira.
- Experience interpreting and working with intel‑based data and reports to inform models.
- Prior IC/domain experience (working with NASIC/NSIC or similar organizations).
- Experience documenting complex models and analysis results for technical and non‑technical stakeholders.
- Familiarity with Model‑Based Systems Engineering (MBSE) concepts, SysML, or Cameo.
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