Principal Systems Engineer Product Support

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 Bachelor of Science degree in a STEM discipline, with a minimum of 5 years of relevant experience, OR Master of Science STEM degree with 3 years of related engineering experience. Previous experience with System Engineering Verification and Validation processes for complex analyses, to include, but not limited to, diagnostics, failures, and machine learning. U.S. citizen Your ability to obtain and maintain a government Top Secret clearance and any program access(es) required for the position within a reasonable period of time, as determined by the company Master of Science in a STEM discipline 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). Demonstrated ability to communicate complex technical concepts to non‑technical audiences and influence senior decision makers