Prognostics Health & Management Systems Engineer

Your ability to transfer and maintain the final adjudicated government Secret clearance, and any program access (es) required for the position within a reasonable period of time, as determined by the company.
Bachelor’s Degree in a Science, Technology, Engineering, or Mathematics (STEM) field from an accredited university with 2 years previous experience working in an Engineering or Technical position OR a Master’s Degree in STEM with 0 years of experience.
Experience within Health Management, Prognostics, Diagnostics, and/or Reliability & Maintainability Engineering disciplines
Previous experience, including academic research, directly related to the development of Prognostics Health Management (PHM) or Condition Based Maintenance Plus (CBM+) technologies, or analysis and simulation of complex electrical or mechanical systems
Working knowledge in data analysis (algorithms, data structures, and architectures), probability, statistics, signal processing, and predictive modeling
Work experience with anomaly/outlier detection in time series data.

Analyze various types of flight/fault logs, assign Fault Identification (FID) codes, and host customer BIT Review Boards (BRB)
Coordinate with stakeholders, suppliers, and customers, internally and externally, in support of improving Built-In-Test (BIT) Fault Detection, Fault Isolation and BIT False Alarm performance metrics
Develop models and scalable algorithms derived from both data and underlying physics of failure models to evaluate the condition of Mission and Air Vehicle systems
Create predictive models of physical degradation, failures, and data-driven prognostics algorithms to assess the health and performance of critical components
Formulate health monitoring strategies to detect anomalies/outliers in real flight data
Conduct research and development projects concentrating on Prognostic Health Management (PHM) and Condition Based Maintenance Plus (CBM+)
Gather and analyze component and WRA failure history, including failure modes, downtime, MTBF, power cycles, reboots, repeat faults, etc.
Effectively communicate and present to project and program management, and other technical and non-technical managers and customers
Work collaboratively in a team environment with other highly motivated system engineers and data scientists.

Master’s degree in a STEM field (Mechanical, Electrical or Manufacturing).
Active DoD Top Secret Clearance.
Programming skills, preferably in Python and its numerical and data libraries (pandas, scipy, numpy, etc.)
Proficiency in Microsoft Visio, Project, Word, PowerPoint, and Excel Office Products
Work experience with big data tools (Databricks, Presto, Data Lake, Apache Spark, etc.)
Work experience developing visualization tools and dashboards using Tableau
Familiarity with fault detection and diagnosis methods, and reliability analysis
Experience with MLOps and building machine learning pipelines in a professional setting
Demonstrated history of generating new ideas or improving existing ideas in statistical modeling or machine learning, indicated by accomplishments such as first-author publications or projects
Experience with data architectures in relation to how to store, fetch, and manipulate data (SQL, custom APIs, etc.)