Aero Performance and Operability Engineer

2w2 weeks ago

GE Vernova

MX · Full-time · MXN 600,000 – MXN 900,000

About this role

The Aeroderivative Performance & Operability Engineering team operates at the intersection of engineering, commercial, and digital domains. We seek an Engineer—ideally an offboarding Edison Engineering Development Program member—to develop next-generation digital twin technologies and transient models. The role supports modernizing the gas turbine modeling ecosystem.

Shift primary focus from steady-state analysis to high-fidelity transient simulations. Bridge thermodynamic cycle modeling in NPSS with control system environments like Simulink and Mark VI. Integrate 'slow physics' thermal behavior and 'fast physics' from actuators and fuel systems.

Act as the primary technical link between Performance and Controls teams for model compatibility with hardware constraints. Use field and test stand data to calibrate and validate transient models. Ensure simulation accuracy across operational cycles in the aeroderivative fleet.

Assist in executing the roadmap for physics-informed digital twins and model-based control strategies. Identify opportunities to simplify transitioning complex thermodynamic models into deployable control code. Advance dynamic understanding to enhance controls coordination and fleet operability.

Requirements

Experience in Engineering/Technology & Performance Engineering
Bachelor’s degree in Engineering or related field
Gas Power Edison Engineer; Completion of LPX, Teardown Training; Progress toward Engineering Masters degree and/or ACE Certificate
Familiarity with Python or Cantera for data analysis and performance automation
Understanding of 'fast physics' components (e.g., valve dynamics, fuel system latency)
Proficiency in MATLAB/Simulink for system modeling
Ability to communicate complex technical concepts effectively to multidisciplinary teams

Responsibilities

Assist the Lead Engineer in implementing the roadmap for physics-informed digital twins and model-based control strategies
Develop and maintain transient NPSS cycle models to capture 'slow physics' thermodynamic behavior across the aeroderivative fleet
Transform NPSS thermo-models into broader system models within Simulink and/or Mark VI environments
Develop and integrate separate models for 'fast physics' such as fuel systems, actuators, and control logic
Build and validate digital twin architectures that enable simulations and advancement of dynamic understanding
Act as a primary technical link between the Performance and Controls teams
Use field and test stand data to calibrate transient models, ensuring simulation accuracy during cycles
Identify opportunities to simplify the transition of complex thermodynamic models into deployable control code