PHM Engineer

Key Accountabilities

• Rapid Issue Resolution: Apply understanding of gas turbine product operation, product systems, sub-systems, and interactions to address real-time technical challenges in the fleet.
• Data & Software Development: Software development of database and analytical tools to sustain the fleets powered by AE 1107C engines.
• Predictive Algorithms & Techniques: Develop algorithms and techniques to detect and predict imminent system level failures such as performance and control, oil and fuel systems, and vibration.
• System Integration & Maturation: Integrate and mature in-service systems for functional data including data reduction models, data portal systems, and database systems.
• Technical Analysis & Support: Perform system level analysis to understand the behavior of in-service engines to provide support for engineering investigations including safety related items.
• Customer Interface: Provide customer interface for in-service and system health related issues, including giving technical presentations and publishing reports documenting engineering analysis.

Basic Qualifications

• Bachelor’s degree in Engineering, Technology, Computer Science, or Data Science and 2+ years of experience, OR
• Master’s degree in Engineering, Technology, Computer Science, or Data Science, OR
• JD/PhD
• Must be a U.S. citizen
• Experience with computational modelling and data analysis (e.g., JMP, MATLAB, SQL, Python, RDP, or Git)
• Familiarity with system engineering processes and gas turbine engine fundamentals (performance, control, vibration, fuel and oil systems, aircraft mission analysis)

Preferred Qualifications

• Familiarity with DevSecOps, deployment pipelines, or software containers
• Familiarity with Equipment/Prognostic & Health Management (EHM/PHM) methods
• Experience presenting technical subjects; experience with US DoD customers is preferred
• Demonstrated ability to define, plan and execute engineering tasks/projects to satisfy business and technical objectives
• Ability to apply logical, analytical, and innovative thinking on a range of technical problems and make balanced decisions across technical and business parameters
• Good inter-personal and presentation skills
• Experience working with extended (i.e. not necessarily co-located) multi-disciplinary teams