Job Description SummaryWe 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
Essential Responsibilities
- 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.
Required Qualifications
- Masters + 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.
Desired Characteristics
- 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.
Employment Type: Full Time, Permanent
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