Prognostics & Health Management (PHM) Engineer III - LiftSystem

Rolls-Royce•Indianapolis, IN

1d•$98,566 - $160,169•Onsite

About The Position

Rolls-Royce is seeking a Prognostics & Health Management (PHM) Engineer to support the LiftSystem program in Indianapolis, Indiana. The position is part of a PHM team that defines and integrates new products, develops diagnostic and predictive algorithms, analyzes and models in-service product-health attributes, and manages PHM algorithm performance. The engineer provides service-data analysis for event investigations and root-cause analysis of reliability and safety issues. The role focuses on defining and maintaining safe, reliable, and cost-effective product attributes through life-cycle modeling of product reliability, deterioration mechanisms, and costs. It provides technical support for in-service and delivered products and influences product maturity throughout the life cycle to meet customer and business needs and ensure Design Intent is met. The engineer works with cross-functional teams and advises management. The role develops algorithms and techniques to detect and predict imminent system-level failures, including performance and control, pneumatic, vibration, oil and fuel systems, and component lifing. It works with LiftSystem Informatics to ensure data availability and quality for lifing calculations, integrates data between ADVISe and Maximo, and addresses data issues with a partner OEM. The engineer conducts in-service system analysis to support engineering investigations, including Red Top Investigations and Safety Alert Reports; provides customer interface on in-service and system PHM issues; presents technical findings and publishes analysis reports; supports component, module, and flight testing to mature PHM algorithms; and collaborates across LiftSystem teams and the EHM engineering capability to share best practices and develop knowledge-management practices. This is a full-time position. Relocation assistance is provided if applicable. Applicants must be U.S. citizens. The posted annual pay range is $98,566–$160,169.

Requirements

Bachelor's degree in Engineering and at least 2 years of experience in PHM/EHM system design, aerospace engineering, data analysis, software development, or a related field; or a Master's degree in Engineering and at least 1 year of experience in a related field.
Must be a U.S. citizen.

Nice To Haves

Degree in Aerospace, Mechanical, or Electrical Engineering.
Extensive data-analysis experience using JMP, MATLAB/Simulink, or Python and Git.
Experience with SQL and database systems.
Experience with system-engineering processes, performance and control, vibration, oil systems, or aircraft mission analysis.
Experience with EHM/PHM methods or computational modeling.
Experience presenting critical topics to internal and external audiences, especially U.S. DoD customers.
Ability to work autonomously across broader ambiguous or complex areas and independently lead projects to deliver solutions.

Responsibilities

Develop algorithms and techniques to detect and predict imminent system-level failures, including performance and control, pneumatic, vibration, oil and fuel systems, and component lifing.
Work with LiftSystem Informatics to ensure data availability and quality metrics are adequate for lifing calculations.
Integrate data between ADVISe and Maximo and address data issues with the partner OEM.
Perform system-level analysis of in-service LiftSystem behavior to support engineering investigations, including Red Top Investigations and Safety Alert Reports.
Provide customer interface for in-service and system PHM-related issues.
Give technical presentations and publish reports documenting engineering analysis.
Support LiftSystem component, module, and flight testing to help mature PHM algorithms.
Collaborate with LiftSystem teams and the EHM engineering capability to share best practices and develop knowledge-management processes, tools, and methods.
Provide service-data analysis to support event investigations and root-cause analysis of reliability and safety issues.
Model product reliability, deterioration mechanisms, and costs through the product life cycle to help ensure safe, reliable, and cost-effective product attributes.