Job Description

　　If you are interested in being on a team that builds supercomputers and enables data scientists and their research, the HPC AI Solution Architect's team is looking for a Graduate Intern - HPC AI Solution Architect to join them.

　　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 HPC and AI super computing systems and technology.

　　We are working with new technologies on our latest project, and a large part of your responsibilities will include the following:

　　Roles and Responsibilities:

　　Investigating the AI workloads performance of a variety of hardware platforms.Evaluating the latest AI software features.Clearly communicate with, and present, technical, and non-technical information to a variety of audiences.Collaboration skills and the willingness to work in a globally distributed team environment.

　　Responsibilities may be quite diverse of a nonexempt technical nature. U.S. experience and education requirements will vary significantly depending on the unique needs of the job. Job assignments are usually for the summer or for short periods during breaks from school.

　　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. Experience listed below would be obtained through a combination of your schoolwork/classes/research and/or relevant previous job and/or internship experiences.

　　Pursuing Masters degree or PhD degree in Computer Engineering, Computer Science or 3+ months experience in one or more of the following:

　　Deep learning-based application solutionsHigh Performance Computing (HPC) environmentShell scripts and the GNU/LLVM tool chains on LinuxPython/C++ programmingPerformance analysis techniques, using modern toolsTroubleshooting performance issuesFamiliarity with operating systems, computer architecture

　　Preferred Qualifications:

　　Software development tools (preferably Intel's DPC++, VTune Profiler, Advisor, etcSoftware development libraries such as oneDNN, oneMKL, oneDAL etcDeep learning frameworks (PyTorch, TensorFlow, OpenVino) knowledgeUnderstanding of distributed training and model quantization, pruning for inferenceCloud native software (cloud computing, Kubernetes orchestration and scheduling understanding

　　Inside this Business Group

　　The Data Center & Artificial Intelligence Group (DCAI) 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.

　　Posting Statement

　　All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

　　Benefits

　　We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

　　Working Model

　　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. In certain circumstances the work model may change to accommodate business needs.