Job Description Summary

As a Research Engineer in the Aerothermal Sciences team, you will collaboratively execute research and development programs in high-fidelity Computational Fluid Dynamics (CFD) Solver Development for GE Aerospace applications on GPUs. You will interact with personnel at GE Aerospace and Aerospace Research Center technologists and engineers to innovate for the future to deliver on our commitment to sustainability, safety and quality for our customers while advancing aerospace and defense for future generations.

Job Description

Roles and Responsibilities

• Apply your knowledge in numerical algorithms, methods and techniques to advance CFD solver development for aerothermal modeling and simulation at GE Aerospace.
• Learn existing tools and methods already in use at GE Aerospace, and test & implement algorithms in existing framework
• Develop ideas and concepts and mature them through various tollgates (TG0  TG9), to improve modeling and simulation accuracy of critical physics, employing acceleration techniques, to enhance performance and durability of GE Aerospace products.
• Deliver on technical projects meeting schedules and budgets, implement plans with minimal guidance to meet technical requirements and document results.
• Participate in a team on multi-generation technology programs to enable future modeling and simulation advancements, while independently executing tasks leveraging your technical skills.
• Network and collaborate with both 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 with research specialization in Computational Fluid Dynamics Algorithms, Methods and Techniques
• Demonstrated fundamental knowledge turbomachinery aerodynamics / aeromechanics / aeroacoustics and relevant computational expertise
• Demonstrated experience in using in-commercial CFD codes (ANSYS CFX, FLUENT) or experience with in-house codes.
• Demonstrated experience in tailoring codes and algorithms, and porting to GPUs
• Demonstrated fundamental knowledge in CFD (computational fluid dynamics) applied for aerodynamics/combustion/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 porting algorithms from HPC CPUs to GPUs
• Experience in turbomachinery aerodynamics / aeromechanics / aeroacoustics
• Experience in unsteady aero CFD - URANS and LES modelling and applications