The Enterprise and Government Group EG&G defines, delivers and markets products that are critical to customers in Government, Academia and Industrial market segments of the High Performance Computing and Workstation markets. These products help end customers gain insight into and discover solutions to their most important problems. EG&G 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. Your work will provide inputs to system architecture definition of some of the largest HPC clusters Top-10 class, and will provide actionable feedback to HW architects and system SW teams.
Inside this Business Group
Job responsibilities will include, but are not be limited to:
- Developing best practices for modeling and analyzing large HPC systems.
- Modeling applications at scale and evaluating system performance of large clusters employing scalable fabric topologies such as Dragonfly, Fat-tree, Clos and torus.
- Modeling and exploration of new fabric topologies, and extending existing fabric simulators to model large clusters.
- Evaluating cost, energy and performance trade-offs of different job placement schemes and fabric routing algorithms.
You must possess the below minimum qualifications to be initially considered for this position. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences.
- Must possess a Master's or PhD degree in Computer Science, Electrical Engineering or related field.
Minimum of six months experience in:
- Computer Architecture.
- High performance fabric topology (dragonfly, fat-tree, clos or mesh/tori).
- System level performance simulators, such as SST.
- Scientific applications, preferably using OpenMP and MPI.
- Programming in C++ and scripting languages such as Perl, Python or Bash.
- Experience in R, Matlab or equivalent.
- Hands-on experience with MongoDB or Hadoop.
- Knowledge of Machine Learning or AI workload characteristics.
- Publications in leading conferences or journals.
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.