Responsibilities:

• Perform thermodynamic cycle analysis of turbofan engines, evaluating thrust, TSFC, efficiency, operability margins, and performance across the flight envelope.
• Develop, validate, and maintain propulsion system performance models to support aircraft integration, certification, and customer deliverables.
• Generate aircraft and engine performance data for flight manuals, flight computers, and executive-level program assessments.
• Conduct runway and mission performance analyses
• Support engine-airframe integration efforts, including takeoff thrust optimization and safety-focused performance methodologies.
• Author and execute flight test plans to evaluate propulsion robustness, operability, and early design maturity.
• Contribute to advanced combustion and fluid dynamics modeling efforts
• Support experimental testing efforts including aeroacoustics, flow visualization (Schlieren), wind tunnel testing, and telemetry data analysis.
• Play a key role within our HEAT (High-Enthalpy Airflow Test) facility, including sizing, analyzing, and optimizing this world-class test infrastructure.

Requirements:

• Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, or related field.
• Strong foundation in thermodynamics, compressible flow, gas turbine engine cycles, and aerodynamics.
• Experience with propulsion performance modeling and aircraft performance analysis
• Proficiency in MATLAB and Python
• Demonstrated ability to interpret and validate complex engineering data sets.

Preferred Skills and Experience:

• Master’s degree in Aerospace Engineering with focus on propulsion, aerothermodynamics, or combustion.
• Experience supporting turbofan engine development programs
• Background in CFD, Large Eddy Simulation (LES), or reduced-order modeling techniques.
• Exposure to experimental aerodynamics, aeroacoustics, or high-speed flow diagnostics.
• Strong systems-level thinking with attention to both detailed analysis and program-level impacts.
• Demonstrated leadership in technical initiatives or cross-functional collaboration.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.