Engineer / Principal Systems Engineer - Prognostics / PHM

Reposted 18 Days Ago
Be an Early Applicant
Melbourne, FL, USA
In-Office
79K-148K Annually
Senior level
Aerospace • Logistics • Security • Software • Cybersecurity
The Role
Design and integrate Prognostics/PHM architectures; develop predictive and data-driven prognostic and diagnostic algorithms; analyze flight and sensor logs; perform BIT analysis, timeline and trade studies; translate requirements into hardware/software specs; coordinate stakeholders and present findings.
Summary Generated by Built In
RELOCATION ASSISTANCE: Relocation assistance may be available

CLEARANCE REQUIRED FOR START: Yes

CLEARANCE TYPE: Top Secret

TRAVEL: Yes, 10% of the TimeDescription

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 Aeronautics Systems has an opening for an Engineer / Principal Systems Engineer - Prognostics (PHM) position to join our team of qualified, diverse individuals in Melbourne, Florida. This position is fully onsite with no remote work available. 

Accomplish

You should have a background in Health Management (HM), with a particular focus on Prognostics and Diagnostic processes, analysis, and design for integrated systems. You should also have a strong foundational understanding of Reliability and Maintainability (R&M) engineering analyses and processes. 

This position requires proven experience integrating inputs from multiple systems to generate an integrated architecture; identify, develop, and decompose requirements; developing simple and complex logic or rulesets which can be used in Prognostic and Diagnostic Algorithms; and analyze flight and sensor logs for anomalous behavior and identifying root cause to reduce troubleshooting and increase fault isolation. Analyses are performed at all stages of the complete system lifecycle to include: concept, design, fabrication, test, installation, operation, maintenance and disposal.  Candidate will be expected to perform Built in Test (BIT) analysis, timeline analyses, detailed trade studies, sensor placement assessments, Mission Systems software analyses, and interface definition studies to translate customer requirements into hardware and software specifications. 

Performs technical planning, system integration, verification and validation, cost and risk, and supportability and effectiveness analyses for total systems. Analyses are performed at all levels of total system product to include: concept, design, fabrication, test, installation, operation, maintenance and disposal. Ensures the logical and systematic conversion of customer or product requirements into total systems solutions that acknowledge technical, schedule, and cost constraints. Performs functional analysis, timeline analysis, detailed trade studies, requirements allocation and interface definition studies to translate customer requirements into hardware and software specifications.

Job Duties: 

  • 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 


Succeed

The individual we seek will be self-motivated, proactive, goal-oriented to help us grow our services, become even better at what we do and will possess the following qualifications.

**This requisition may be filled at either a Engineer Level or a Principal Level**

Basic Qualifications Engineer: 

  • 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 

  • Current in-scope (within 6 years) U.S. Government Secret Clearance as well as the ability to obtain Program Special access within a reasonable period of time, as determined by the company to meet its business needs.

Basic Qualifications Principal Engineer: 

  • 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 

  • 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 

  • Current in-scope (within 6 years) U.S. Government Secret Clearance as well as the ability to obtain Program Special access within a reasonable period of time, as determined by the company to meet its business needs.

Preferred Qualifications: 

  • Master’s degree in a STEM field (Mechanical, Electrical or Manufacturing). 

  • Active U.S. Government 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.)

Primary Level Salary Range: $79,300.00 - $118,900.00Secondary Level Salary Range: $98,400.00 - $147,600.00

The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.

The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Skills Required

  • Bachelor's degree in STEM with relevant engineering experience (Engineer: 2 years; Principal: 5 years)
  • Master's or PhD in STEM accepted with reduced experience requirements (Master's: Engineer 0 yrs/Principal 3 yrs; PhD: Principal 1 yr)
  • Experience in Health Management, Prognostics, Diagnostics, and Reliability & Maintainability engineering
  • Previous development or research experience with Prognostics Health Management (PHM) or Condition Based Maintenance Plus (CBM+)
  • Working knowledge of data analysis: algorithms, data structures, probability, statistics, signal processing, predictive modeling
  • Experience with anomaly/outlier detection in time series data
  • Active U.S. government Top Secret clearance required to start
  • U.S. Citizenship (required for positions with government clearance)
  • Ability to obtain Program Special Access as required by the program
  • Programming skills in Python and numerical/data libraries (pandas, scipy, numpy)
  • Proficiency with Microsoft Visio, Project, Word, PowerPoint, Excel
  • Experience with big data tools (Databricks, Presto, Data Lake, Apache Spark)
  • Experience building visualization tools and dashboards using Tableau
  • Familiarity with fault detection and diagnosis methods and reliability analysis
  • Experience with MLOps and building machine learning pipelines
  • Experience with data architectures, SQL, and custom APIs
  • Demonstrated contributions in statistical modeling or ML (publications or projects)

Northrop Grumman Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Northrop Grumman and has not been reviewed or approved by Northrop Grumman.

  • Retirement Support 401(k) matching is considered strong, with additional defined-benefit coverage for certain cohorts and options like catch-up contributions. Retirement programs are repeatedly highlighted as a core strength of the total rewards.
  • Leave & Time Off Breadth PTO, company-paid holidays, and compressed work schedules (such as 9/80) provide meaningful time away and flexibility. These scheduling options are cited as a major quality-of-life benefit across many locations.
  • Parental & Family Support Paid parental leave alongside caregiver leave, adoption assistance, and back-up care supports a range of family needs. These programs have been expanded recently, signaling continued investment in family support.

Northrop Grumman Insights

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The Company
HQ: Charlotte, North Carolina
85,636 Employees

What We Do

We are a close-knit community of big thinkers collaborating to keep the world safe. Our passion, creativity and expertise bring next-level technology solutions to life in autonomous systems, cyber, C4ISR, strike, space, and logistics and modernization for our customers around the globe. On the Northrop Grumman team, you’ll join our pursuit of excellence immersed in a dynamic culture of innovation and respect. Your unique perspective will help achieve our shared vision for the future of global security. Every step of the way, you'll be supported by world-class training, employee resource groups and a comprehensive benefits package that enables greater health and happiness for you and your family. Worldwide and across disciplines, we’re challenging what’s possible for technology to protect people and places from undersea to outer space and into cyberspace. And we see the impact of our performance every day. We are Northrop Grumman, and we work on what matters—now, you too can make a difference. Explore opportunities in engineering, IT, manufacturing, business management, cybersecurity and more with us. Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer.

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