• Develop hardware acceleration solution to improve CFD simulation efficiency based on OpenFOAM/SU2.

• Data processing, data analyzing, feature engineering, AI modeling, and AI model optimizing in the domain of computational fluid dynamics.

• Designing and implementing efficient AI algorithm solutions based on domain knowledge and database features to improve simulation efficiency.

• Tracking the development of international cutting-edge simulation acceleration technologies, exploring innovative application scenarios of GPU/AI+simulation, and promoting the implementation of technological innovation.

Required qualifications and skills:

• Master's degree or above in computational fluid dynamics, mechanical engineering, applied mathematics, computer science, or a closely related discipline.

• Proficient in mathematical foundations such as numerical analysis methods, machine learning theory, probability statistics.

• Familiar with the principle of finite element analysis and its application in engineering simulation.

• Solid foundation in data structure and algorithm.

• Familiar with the principle of LLM and Graph Neural Network.

• Proficient in programming languages, such as Python and C++, and have good code development capabilities.

• Proficient in the core numerical simulation workflow, include Finite Volume Method (FVM) and Finite Element Method (FEM) algorithms.

• Experience with commercial simulation software such as Ansys, Abaqus, COMSOL, and CST is preferred.

• Proficient in high-performance computing (HPC) acceleration frameworks such as CUDA, OpenCL, HIP and OpenACC.

• Proficient in simulation framework: OpenFOAM or SU2;

• Practical experience in AI+ simulation projects is preferred.

• Experience in secondary development or solver customization is highly preferred.

• Experience in Deep Neural Networks (DNN) or Large Language Models (LLMs) is preferred.

• Excellent independent research and problem-solving skills

• Good teamwork spirit and communication skills

• Highly sensitive to new technologies and continuous learning

• Good at summarizing and sharing, and skilled in writing articles and reports.

Location: Helsinki, Finland

Contract Type: This is a full-time consultant position, the consultant shall be employed by Huawei's supplier. If you are interested, please submit your application before 30th March. 2026, and do not heisitate to contact us for any questions related to the position.

Benefits

Huawei offers the opportunity to learn from the best in the mobile industry. Working at Huawei in an international atmosphere is fun and the opportunity to develop your skills and competencies is endless. As we are the second largest mobile phone brand in the world, in the long term you have the opportunity to relocate around the world. Are you ready for the challenge?

About Huawei Finland R&D

Huawei’s European Research Institute (ERI) oversees fundamental and applied technology research, academic research cooperation projects, and strategic technical planning across our network of European R&D facilities. Huawei Finland Research Center was established in 2012. At our sites in Helsinki and Tampere, you will have an outstanding opportunity to be part of the leading research and development of future smart devices. We offer a career in a forward-looking industrial research team with a solid track record in innovation and publication and delivering its result as factual contributions to on-the-market devices.