Aeroderivative Performance and Operability Lead Engineer

ness and our customers.

Job Description

Roles and Responsibilities

• Lead Model Development Lifecycle: Drive the creation, adjustment, validation, and application of thermodynamic cycle models for aeroderivative gas turbines using NPSS and associated tools.

• Develop and Refine Operability Models: Manage the lifecycle for operability models, including emissions, fuel flexibility, and control aspects, ensuring models reflect operational realities.

• Test Plan Development & Field Support: Define and develop engineering test plans, supporting field tests to gather data that drives improvements in both performance and operability models.

• Field Data Integration & Model Validation: Analyze post-processed field data using data analysis techniques (e.g., data science, statistics, probabilities) to update and status-match models with real-world operational data.

• Fuel Flexibility Expertise: Evaluate the use of various fuels (e.g., hydrogen, biofuels) in power plants, determining necessary model adjustments to support fuel-flexible solutions.

• Technical Leadership: Act as a performance and operability technical expert for aeroderivative gas turbines, serving as a focal point for coordination with GE Aviation and GE Vernova internal teams.

• Data-Driven Analysis: Apply advanced data science methods to evaluate model performance, deliver concise analyses, and present complex findings to leadership.

• Process Improvement: Continuously refine team processes, implementing best practices and lessons learned to drive efficiency and innovation.

• Tool Development: Develop tools and templates using VBA, Python, NPSS, or other utilities to streamline team operations and enhance problem-solving capabilities.

Required Qualifications

• This role requires advanced experience in the Engineering/Technology & Performance Engineering. Knowledge level is comparable to a Bachelor's degree from an accredited university or college ( or a high school diploma with relevant experience).

Desired Characteristics

• Master's or PhD in engineering or equivalent fields.

• Significant experience in Aeroderivative performance modeling, particularly in data reduction, status matching, and NPSS cycle model development.

• Strong programming experience in NPSS, Python, and C.

• Deep understanding of gas turbine thermodynamics, controls, emissions, and operability.

• Familiarity with gas turbine performance testing including standards such as ASME PTC 22 or ISO 2314.

• Understanding of gas turbine combustion and emissions including creation of combustion transfer functions.

• Experience with fuel flexibility including high hydrogen and its impact on systems such as performance, emissions, operability, and controls.

• Proficiency in data analysis, data science, and probabilistic modeling.

• Ability to work effectively in globally distributed teams.

• Experience in applying continuous improvement methodologies such as Lean to improve operations.

• Demonstrated ability to think critically and creatively to analyze and resolve complex problems.

Additional Information

Relocation Assistance Provided: Yes