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Northrop Grumman · 1 day ago

Engineer / Principal Systems Engineer - Prognostics / PHM

Melbourne, FL

Full-time

Onsite

Mid, Senior Level, Lead/Staff

$79K/yr - $119K/yr

2+ years exp

Northrop Grumman is a leading aerospace and defense technology company, and they are seeking an Engineer / Principal Systems Engineer specializing in Prognostics and Health Management. The role involves analyzing flight and fault logs, developing predictive models, and collaborating with stakeholders to enhance fault detection and isolation performance metrics.

AerospaceData IntegrationManufacturingRemote SensingSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

Qualification

Prognostics Health ManagementReliability & Maintainability EngineeringData AnalysisAnomaly DetectionPredictive ModelingProgramming in PythonBig Data ToolsMachine Learning PipelinesCommunication SkillsTeam Collaboration

Required

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 relevant 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

Experience with anomaly/outlier detection in time series data

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 5 years previous experience working in an Engineering or Technical position OR a Master's Degree in STEM with 3 years of relevant experience OR a PhD in STEM with 1 years of relevant experience

Experience within Health Management, Prognostics, Diagnostics, and/or Reliability & Maintainability Engineering disciplines

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

Preferred

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.)