Lead Engineer - Aero CFD Methods
Ver: 107
Dia de atualização: 30-05-2024
Localização: Bengaluru / Bangalore Karnataka
Categoria: Mecânico / Técnico
Conteúdo do emprego
Roles and Responsibilities
Work collaboratively with the global development team and implement advanced numerical schemes in in-house CFD solver, pre-processor and post-processor
Maintain quality by adhering to existing code development standards.
Fine tune current formulation to continuously improve on robustness, speed-up and accuracy
Work with a global team of tool developers to build more automated CFD geometry and meshing capabilities for design
Be responsible for un-interrupted functioning of the CFD framework across all global sites
Own and manage user issues, ensure timely resolution by offering quick fix solutions
Conduct thorough evaluation of new features in the code to establish suitability for release and guide further development direction
Work collaboratively with design teams and assist development of best practices for CFD simulations
Leverage digital and machine learning techniques to improve capacity
Make recommendations after analysis of the data using quality tools. Protect the Intellectual Property rights of the Company
Participate in documenting & sharing lessons learnt in relevant technical forums
Required Qualifications
PhD/Post graduate degree in Aerospace/Thermal/Mechanical Engineering
Strong technical background in Computational Fluid Dynamics, Numerical methods and algorithms
Atleast 3 years of hands-on experience of developing CFD codes using FORTRAN, C/C++ in parallel architecture MPI /Open MP
Strong problem-solving skills, self-learning abilities and shown track record of technical excellence
Ability to work in a cross-functional environment with strong communication and presentation skills
Desired Characteristics
Coding experience with CUDA & Python
Code development experience in Linux and HPC environment
Hands on experience in using commercial CFD codes (CFX, Fluent, ICEM, Pointwise, Autogrid, Tecplot, Paraview)
Good understanding of Turbomachinery flow
Experience of using Machine learning methods and optimization techniques
Be flexible and adapt to work on critical priorities as per business need
Ability to collaborate and co-ordinate tasks involving global team members
GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
- Disclosure of your Gender or Sexual orientation is completely Voluntary and not mandatory.
www.ge.com
Relocation Assistance Provided:No
Data limite: 14-07-2024
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