This position is for an internship within the Data Center Engineering Group's Performance and Power Team. This team assesses next generation server CPUs and platforms using a wide variety of benchmark and workloads key to Intel's enterprise and cloud customers. This includes areas ranging from machine learning, web service, video-on-demand, numerical simulation, storage, B2B transactions, financial transactions, etc. You will be setting up and running server and datacenter workloads, measuring power and performance metrics on single node and cluster configurations, and optimizing CPU and system settings accordingly. You may also be evaluating new memory technologies for use on server systems and developing new use models for these technologies. Some debug of performance and power issues may also be involved.
Inside this Business Group
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. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences.
• Candidate must be pursuing a Master's Degree or PhD in Computer Science, Computer Engineering, Electrical Engineering, or any other related field.
• Six months experience or equivalent coursework in the following fields:
- Linux OS.
• Experience running system level power and performance testing on any platform type.
• Experience working with server systems.
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.