Job Description Summary

As a Research Engineer - Computational Geometry and Mesh Generation, you will collaboratively advance methods and algorithms for computational geometry and mesh generation technology targeted at high-fidelity modeling and simulation (Large Eddy Simulation) of components and subcomponents for GE Aerospace commercial engine programs and technology demonstration programs such as RISE (Revolutionary Innovation for Sustainable Engines). You will be a key member of a team of technologists and engineers at GE Aerospace Research collaborating with the GE Aerospace business teams to deliver on our commitment to sustainability, safety and quality for our customers while advancing aerospace and defense for future generations.

• Apply your knowledge in structured and unstructured mesh generation to develop robust and innovation algorithms for aerothermal modeling and simulation (LES) for compressors, combustors, and turbines on GPUs
• Develop CFD pre-processing tools and systems targeted at aerothermal modeling and simulation for aircraft engines.
• Learn existing tools and methods already in use at GE Aerospace, and test & implement algorithms in existing framework
• Support technology demonstrator and engine programs by delivering state of the art computational models for simulation and design
• Deliver on technical projects meeting schedules and budgets, implement plans with guidance to meet technical requirements and document results
• Participate in a global team on multi-generation technology programs to enable future design advancements, while executing tasks leveraging your technical skills
• Network and collaborate with GE Aerospace Business and Research team members to identify opportunities for innovation, build plans and execute on technical projects

• Ph.D. in Aerospace/Mechanical Engineering/Computer Science/Applied Mathematics, or M.S in Aerospace/Mechanical Engineering/Computer Science/Applied Mathematics with 2-4 years of experience specializing in computational geometry and mesh generation
• Experience with structured and/or unstructured mesh generation algorithms
• Fundamental knowledge of data structures with application to mesh generation and/or geometry modeling
• Demonstrated fundamental knowledge in CFD (computational fluid dynamics) applied for aerodynamics, and/or combustion and/or heat transfer, evidenced by advanced graduate coursework and research
• Proficiency in scientific computing and working knowledge of one of the high-level programming languages
• Excellent oral and written communication skills
• Demonstrated ability to work independently and in a team environment

• Ability to code in C / C++ / C# / Fortran preferred
• Experience in scientific computing or computational methods
• Experience with algorithms for GPUs
• Experience / willingness to learn geometry tools like Siemens NX, and mesh generation tools including ANSYS meshing suite (ICEMCFD, FLUENT, Workbench, SpaceClaim), Numeca, and PointWise
• Humble: respectful, receptive, agile, eager to learn
• Transparent: shares critical information, speaks with candor, contributes constructively
• Focused: quick learner, strategically prioritizes work, committed
• Leadership ability: strong communicator, decision-maker, collaborative
• Problem solver: analytical-minded, challenges existing processes, critical thinker