The High-Performance Computing (HPC) team within Intel's AXG group defines, delivers, and markets products that are critical to customers in government, academia, and industrial market segments. These products help end customers gain insight into and discover solutions to their most important problems. These products enable a broad range of breakthroughs: from cutting edge film making and animation, to scientific discoveries, to success in investment banking, to breakthroughs in manufacturing from small businesses to the largest industries.

Job Responsibilities:

• Partners with Intel customers, ecosystem software vendors, and/or the opensource community to develop, integrate, test, tune, debug, optimize and differentiate software.

• Engages as a technical expert or trusted technical advisor to drive Intel value and differentiation in or across disciplines such as Enterprise, Cloud, Client, HPC, AI, Gaming, Graphics, Analytics and/or Edge.

• Utilizes deep domain and market segment expertise to research, develop, and prototype software that leverages and drives the adoption of Intel product capabilities.

• Evangelizes software tools and technologies to the ecosystem to enable and support Intel products.

• Responsible for leading application pre-enabling, product development, and/or product hardening to launch future products and provide customer support.

• May deliver collateral and training, including competitive benchmarks, as well as may identify and drive key workloads into product requirements and landing zones for future product design, simulation, projection methods, and tools.

• Drives product improvements that minimize the need for explicit enabling and maximizes scale adoption.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Relevant experience and knowledge could have been obtained through schoolwork, classes and project work, internships, military training, and/or work experience. The ideal candidate will be self-driven and motivated to learn.

Minimum Qualifications:

• The candidate must possess a master's degree or PhD degree in Computer Science, Electrical/Computer Engineering, Mathematics, or related discipline of HPC with 7+ years of experience in the industry or in a research environment and

• Strong understanding of computer architecture

• Strong experience working in a Linux collaborative development environment

• Strong Experience in programming in Fortran, C/C++, Python, MPI, Omp, Cuda, OCL

• Strong experience in performance prediction methodologies

• Strong Performance characterization, optimization, and tuning using Intel or opensource tools

Additional Preferred Qualifications:

• Deep knowledge of some scientific HPC domain such ns as Finance, CFD or Energy.

• Knowledge of HPC or datacenter architectures

• Experience with distributed deep learning algorithms, containerand ization, data structures

• Experience with running MPI + OpenMP wlarge-scale large scale systems

• Understanding in mathematical underpinnings of ML/DL methods (statistics, ML, DL) and programming with DL frameworks - Keras, TensorFlow, PyTorch, others;

Inside this Business Group

The focus of Accelerated Computing Systems and Graphics (AXG) is to accelerate our execution in strategic growth areas of high-performance computing and graphics. AXG is chartered with delivering high performance computing and graphics solutions (IP, Software, Systems), for both integrated and discrete segments across client, enterprise and data center.  Our mission is to make zeta-scale computing accessible to every human on the planet by the end of this decade and to entertain, educate and connect billions of people with buttery smooth visual experiences.

Other Locations

Virtual Europe, Middle East and Africa

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.