Lead Engineer - CFD Methods

Job Description Summary We are seeking a highly motivated and technically proficient Lead Engineer to join our team at GE Aerospace, Bangalore. This role is focused on developing and enhancing high-fidelity Large Eddy Simulation (LES) solver for GPUs. The candidate will collaborate with a global team to push computational boundaries, ensure robust solver performance, and implement state-of-the-art numerical techniques in design workflows. The role emphasizes expertise in software development technologies, high-performance computing (HPC), and integration into advanced design processes. Job Description

• Collaborate with the global development team to implement advanced numerical schemes and features for code acceleration and robustness improvements
• Conduct validation and verification of CFD methods using experimental data and high-fidelity numerical solutions.
• Optimize and parallelize CFD codes for high-performance computing environments, including multi-core CPUs and GPUs.
• Collaborate across teams to integrate CFD capabilities into design workflows for improved accuracy, efficiency, and robustness.
• Leverage digital and machine learning techniques to enhance solver capacity and performance.
• Stay current with developments in CFD software development technologies and numerical methods, proposing innovative solutions to improve existing capabilities.
• Document and share lessons learned in relevant technical forums.
• Provide mentorship and technical guidance to junior engineers and interns.
• Ensure adherence to internal standards for software development and computational methods.

• Master s + 3 years of industrial experience or Ph.D. in Aerospace Engineering, Mechanical Engineering, or a related field with a focus on computational fluid dynamics or fluid mechanics.
• Strong programming skills in C++ and Python.
• Experience with parallel programming (MPI, OpenMP) and high-performance computing environments.
• Solid understanding of numerical methods and high-order methods for CFD (Finite Element, Finite Volume) and numerical methods for PDEs.
• Familiarity with GPU programming (CUDA, HIP) is a must.
• Experience with version control systems (Git, GitHub/Bitbucket).
• Knowledge of optimization and uncertainty quantification techniques.
• Strong analytical and problem-solving skills.
• Excellent communication and technical writing skills.
• Ability to work collaboratively in a global team environment.

• Experience in developing and applying CFD methods for aerodynamic design and analysis.
• Familiarity with turbulence models, wall models and transition models in CFD.
• Familiarity with modern Fortran.
• Hands-on experience with commercial and 3rd party software such as ANSYS, Tecplot, ParaView, and OpenFOAM.

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