We seek experienced programmers and code optimizers to fill software engineering positions on the Intel Math Kernel Library (Intel MKL) team. In these roles, you will use your high performance computing and performance optimization experience to write parallelized and highly-tuned software algorithms for current and future Intel architectures, write and run functional/performance tests and help maintain the product build system. You will be expected to present the results of your activities internally and at external conferences. You must also be able to work independently and to plan long-term software development activities.
You must have a Master's degree in Computer Science, Engineering or Mathematics.
- 4 years working in high performance computing environments and optimizing code to achieve high performance
- 4 years programming in C or C++
- 4 years programming in Linux or Windows environments
- 4 years programming with OpenMP, MPI or TBB
- 1 year of Numerical Analysis/Computational Math coursework including numerical linear algebra and FFTs
- X86 assembly language, compiler intrinsics, and knowledge of machine architectures
- Optimizing code for GPUs or computational accelerators
- Knowledge of algorithms used for machine learning and data analytics
- Experience with Intel software development tools compilers, Intel MKL, or performance profilers
- FORTRAN programming
*Please be informed that Intel is proactively trying to find candidates for SOC Designers and that this position may not be available at this timeInside this Business Group
The Data Center Group (DCG) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.