Job Description

Job Description

If you are interested in supercomputers that enables AI data scientists and HPC researchers, the Super Compute Solution Architect's team may be the team for you to join!

Our solutions are being used today to solve some of the world's most challenging scientific problems such as bio-medical research, climate research, genome analysis, renewable energy - all which require the world's fastest supercomputers to tackle. Intel needs your help to deliver the next generation in high performance systems and technology.

We are looking for an XPU Solution Architect to engage with strategic customers on the Intel Data center XPU products.  

In this role, you will be responsible for, but not limited to, the following: 

Designing and implementing the best practice to satisfy customers' requirements based on a variety of Intel XPU products and adjacent technologies

Serve as the trust advisors to both customers and internal product teams

Assist in accelerating time to market of Intel XPU in a variety of market segments

Infusing voice of customers (VOC) into a broad range of product development teams

Behavioral Skills Sought:

Ability to communicate with, and present clearly, to technical and non-technical audiences

Strong collaboration skills with the ability to work in a globally distributed team environment

Qualifications
 

Minimum Education and Qualifications:

A Bachelor’s degree in Computer Science Engineering, Electrical Engineering or another relevant discipline with 9+ years of experience in one, or more of the following areas: 

GPU programing language and libraries

C/C++, Python

Deep learning-based application solutions with Tensorflow, Pytorch etc

Troubleshooting Machine Learning applications

Optimizing workloads in the cloud environment

Parallel programming technologies such as DPC++, MPI, OpenMP, OpenCL etc

Benchmarking and troubleshooting performance issues

Operating systems, CPU, GPU and Network Fabric architecture

Preferred Qualifications:

PhD degree in Computer Science Engineering, Electrical Engineering, or another relevant discipline with 4+ years of experience

Master’s degree in Computer Science Engineering, Electrical Engineering, or another relevant discipline with 6+ years

AI framework development experience

New hardware enabling experience through AI frameworks

Software development or engineering experience with C/C++

Intel Software development tools experience, such as Intel DPC++, VTune Profiler, Advisor, etc

Experience using Intel Software development libraries such as oneDNN, oneMKL, oneDAL etc

Low level optimizations experience for Intel Architecture

CUDA programming

Shell scripting and the GNU/LLVM tool chains on Linux