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Establish Best Practices: Bring software engineering discipline to our models through version control (GitHub), regression testing, continuous integration, and clear documentation. Make code quality a shared responsibility.
Bridge Domains: Translate between the language of thermodynamics and the requirements of software architecture. Work directly with performance engineers to understand their challenges and build solutions that fit how they actually work.
Modernize Our Toolchain: Lead efforts to refactor legacy code and introduce modern software practices. Your improvements will make our models faster, more accurate, and more maintainable—directly impacting our ability to match field performance.
Enable Automation: Build the APIs, scripts, and workflows that let performance engineers focus on insights rather than manual processes. Connect NPSS with Python and emerging AIML capabilities to unlock new analysis methods.
Own the Architecture: Design and implement the calculation routines, custom NPSS elements, and data pipelines that form the backbone of our modeling ecosystem. You'll decide how data flows from field measurements through reduction methods to refined component maps and physics models.
Develop the Team: Lead and mentor 1-2 engineers while building a collaborative community of practice. You'll work closely with performance engineers across ITR projects and cycle matching efforts, helping everyone level up their technical capabilities.
What you bring
python
simulink
npss
gas turbine
master's
programming
Strong programming skills, applied to engineering tools
Python proficiency, particularly for automation, data processing, and API development
This role requires significant experience in the Engineering/Technology & Performance Engineering. Knowledge level is comparable to a Master's degree from an accredited university or college ( or a high school diploma with relevant experience).
Experience with model integration across multiple platforms (FMI/FMU, Simulink, etc.)
Domain expertise in aeroderivative gas turbine or jet engine performance.
Track record of implementing software best practices in technical environments
Master's Degree or Ph.D. in a relevant discipline
Hands-on experience with NPSS or comparable turbine/propulsion modeling platforms
Benefits
Information not given or found
Training + Development
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Interview process
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Visa Sponsorship
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Security clearance
employment offer contingent on successful drug screen (as applicable).
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