Principal Systems Engineer
About The Position
Northrop Grumman is seeking an experienced Principal Systems Engineer to join its Product Support Analytics and Innovation team. The position is based on-site at a facility in San Diego, California, or Melbourne, Florida. It combines Product Support Engineering with large-scale Data Science to inform design decisions, improve system readiness, increase process efficiency, and enable predictive support solutions. The selected candidate will serve as a bridge between data scientists, algorithm developers, product support engineers, and management. The role translates analytical insights into actionable supportability requirements and supports verification and validation of those insights. The position also involves collaboration across technical teams, program management, customers, and suppliers; logistics-focused assessments and trade studies; and communication with senior leaders and external and cross-functional partners. Travel is 10% of the time. Relocation assistance may be available. The role does not require a clearance at the start, but the candidate must be able to obtain and maintain a U.S. Government Top Secret clearance and any required program access within a reasonable period.
Requirements
- Bachelor's degree in a STEM discipline and at least 5 years of relevant experience, or a master's degree in a STEM discipline and at least 3 years of related engineering experience.
- Previous experience with Systems Engineering Verification and Validation processes for complex analyses, including diagnostics, failures, and machine learning.
- Ability to obtain and maintain a U.S. Government Top Secret clearance and any program access required for the position within a reasonable period, as determined by the company.
- U.S. citizenship is required for positions requiring a government clearance and certain other restricted positions.
Nice To Haves
- Active DoD Top Secret clearance and relevant SAP/SCI clearances.
- Relevant experience in logistics support elements, such as Reliability and Maintainability (R&M) Engineering, Logistics Support Analysis (LSA) and 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 such as Matplotlib, Plotly, PowerBI, or Tableau.
Responsibilities
- Bridge data scientists, algorithm developers, product support engineers, and management by translating analytical insights into actionable supportability requirements and vice versa.
- Support verification and validation of analytical insights.
- Collaborate with integrated technical teams, program management, customers, and suppliers to align sector supportability goals with the Data Science organization.
- Deliver logistics-focused risk assessments and trade studies to influence high-level decisions.
- Recommend enhancements to logistics support elements, including R&M, LSA, and PHM, to 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.
Benefits
- Health insurance coverage
- Life and disability insurance
- Savings plan
- Company-paid holidays
- Paid time off (PTO) for vacation and/or personal business
- Employees may be eligible for overtime, shift differential, and a discretionary bonus, depending on the position.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
