Our team at the Huawei Smart Platforms Innovation Lab is looking for exceptional talent to join us and lead the development of next generation data centers. We create cutting-edge technologies that synergize software and hardware in tandem to accelerate compute, storage and networking at large-scale. We aim to drive innovations and deliver software defined infrastructure to HPC/AI applications.

We are looking for outstanding candidates with hands-on experience in algorithm/software development. If you are a team player with excellent communication skills and motivation to revolutionize application performance, you’re welcome to join our team!

What you will be doing:

• Envision, design and develop advanced algorithms to enable utilization of state-of-the-art hardware for HPC/AI applications
• Research and implement innovative computational methods for optimizing massively parallel HPC/AI applications
• Utilize advanced mathematical concepts such as Uncertainty Quantification, Mixed Precision Computing and Sparsity to improve performance of math libraries
• Identify computational bottlenecks to improve existing products and processes
• Collaborate with partners from academy and industry to conduct state-of-the-art research
• Develop AI/ML methods to accelerate traditional scientific computing (AI4S)
• Enhance computational algorithms using advanced parallel programming models (e.g. OpenMP, MPI)
• Contribute to open-source scientific computing libraries (e.g. OpenFOAM, PETSc)

Requirements:

• B. Sc. in Applied Math, Computer Science, or a closely related field
• Proficiency in C / C++
• Basic experience in data analysis and visualization with Python
• 3+ years of practical experience in developing computational math algorithms, or code for scientific computing
• Excellent teamwork and interpersonal skills
• Innovative thinking

How to stand out from the crowd:

• M.Sc. or Ph.D. degree in Math/CS, or a closely related field
• Experiencein developing algorithms/code for Computational Fluid Dynamics (CFD)
• Hands-on experience in parallel programmingwith MPI / OpenMP
• Proven track record of conducting and publishing independent research