Principal Systems Engineer
NEWNorthrop Grumman · United States-California-San Diego, United States
- Contract
- Full time
- Base
- United States-California-San Diego, United States
- Field
- Engineering
- Posted
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.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 an experienced Principal Systems Engineer to join our Product Support Analytics and Innovation team.
This position is located on-site at our facility in San Diego, CA or Melbourne, FL.
This role combines Product Support Engineering with large‑scale Data Science to drive informed design decisions, improve system readiness, drive process efficiencies, and enable predictive support solutions.
The selected candidate will act as the primary bridge between data scientists, algorithm developers, product support engineers, and management to translate analytical insights into actionable supportability requirements and vice‑versa. Similarly, the selected candidate will support the verification and validation of the analytical insights as well.
The job requires the selected candidate to:
- Collaborate with integrated technical teams, program management, customers, and suppliers, to align sector supportability goals with the Data Science organization.
- Influence high‑level decisions by delivering logistics‑focused risk assessments and trade studies.
- Recommend enhancements to existing logistics support elements (R&M, LSA, PHM, etc.), reduce lifecycle costs, and enhance system availability.
- Prepare and deliver concise presentations, executive briefings, and technical reports for senior leadership, external partners, and cross‑functional teams
Basic Qualifications for a Principal Systems Engineer
- Bachelors degree in a STEM discipline, with a minimum of 5 years of relevant experience, OR Masters degree in a STEM discipline, with 3 years of related engineering experience.
- Previous experience with Systems Engineering Verification and Validation processes for complex analyses, to include, but not limited to, diagnostics, failures, and machine learning.
- Your ability to obtain and maintain a US Government Top Secret clearance and any program access(es) required for the position within a reasonable period of time, as determined by the company
Preferred Qualifications
- Active DoD Top Secret, and relevant SAP/SCI clearances
- Relevant experience in all logistics support elements, such as Reliability and Maintainability (R&M) Engineering, Logistics Support Analysis (LSA) & Maintenance Planning, Modeling & Simulation (ModSim), Support Equipment Engineering (SEE), Prognostics & Health Management (PHM), Supportable Low Observables (SLO), Obsolescence Management (DMSMS), Training & Training Systems, Technical Data, Support Hardware, Fleet & Field Support, and/or Product Support Management (PSM).
- Familiarity with Python ecosystems (NumPy, Pandas, scikit‑learn, PyTorch), SQL, Git, Docker, and data‑visualization libraries (Matplotlib, Plotly, PowerBI or Tableau).
