Mechanical Integrity and Data Science Engineer...
Role details
Job location
Tech stack
Job description
Imagine starting your day by diving into the core of next-generation gas turbine innovation. You collaborate closely with colleagues to design and refine damage-tolerant methodologies that ensure the reliability of massive turbine systems. Your work moves fluidly between developing mechanical integrity software, automating engineering workflows, and evaluating real component behavior under demanding conditions like fatigue, fracture, and creep. In between analytical deep dives, you prepare clear technical documents and presentations that help guide design decisions and keep projects on track in terms of time, cost, and quality. Every day, you contribute to making complex turbine components safer, more efficient, and more resilient.
How You'll Make an Impact
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Develop design methods and software supporting damage-tolerant design for large gas turbine systems
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Apply mechanical integrity concepts-including fatigue, fracture mechanics, creep, and uncertainty analysis-to evaluate turbine components
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Plan, program, and automate engineering workflows related to mechanical integrity methods and technologies
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Assess component behavior across different failure mechanisms, such as LCF/TMF, HCF, fracture, and creep
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Support design projects by preparing engineering documents and presentations that communicate technical results
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Collaborate with teams and interface with manufacturing-related processes, leveraging familiarity with manufacturing and quality assurance where applicable
Requirements
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Master's degree in mechanical engineering, aeronautical engineering, aerospace engineering or related field
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Advance knowledge and strong background in mechanical integrity, including fatigue and fracture mechanics
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3+ years of experience in gas turbine industry or turbomachinery applications
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Long-standing, in-depth knowledge of finite element analysis (FEA) (Ansys, Abaqus, or similar software)
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Technical tool proficiency, including CAD systems (e.g., NX), programming (Python, C++, Linux), and exposure to HPC/cloud simulation environments (Azure, AWS)
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Excellent analytical, interpersonal, and communication skills, with familiarity in manufacturing support and supplier data exchange