This listing was posted on ITJobsWeb.
Performance Analysis Tools - Summer Graduate Intern
Location:
Austin, TX
Description:
Job Description Responsibilities may be quite diverse of a 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. At Intel we are interested in finding efficient ways to use modern laptops for AI applications. We are investigating the power use of CPU, GPU, and NPU (Neural processing units). The candidate will build predictive models based on analysis of field data. 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. Minimum qualifications are required 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.Minimum Qualifications:The candidate must be pursuing a Master's/PhD degree in Computer Science, Computer Enginering, Electrical Engineering or related field and 6+ months experience in Artificial Intelligence applications using frameworks such as PyTorch Python programming experience Preferred Qualifications: Data mining/data analysis class Machine learning experience GPU programming experience (CUDA, SYCL, etc) Familiarity with using Python to process large quantities of computer performance and power data. Inside this Business Group Do you want to impact how thousands of software developers around the world use Intel platforms? Join the Developer Software Engineering (DSE) organization and work on the latest technology enabling compilers, debuggers, analyzers, libraries, and parallel runtimes. You will develop industry-leading software which abstracts and showcases Intel platforms, extracts peak performance, and amplifies Intel business through our Hardware and Software developer communities. Other Locations US, OR, Hillsboro; US, CA, Santa Clara 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. Annual Salary Range for jobs which could be performed in US, California: $63,000.00-$166,000.00*Salary range dependent on a number of factors including location and experience 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. Requisition #: JR0262827pca3lyuhf
Company:
Intel
Posted:
April 20 on ITJobsWeb
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More About this Listing: Performance Analysis Tools - Summer Graduate Intern
Performance Analysis Tools - Summer Graduate Intern is a Jobs Intern Job at Intel located in Austin TX. Find other listings like Performance Analysis Tools - Summer Graduate Intern by searching Oodle for Jobs Intern Jobs.
Performance Analysis Tools - Summer Graduate Intern is a Jobs Intern Job at Intel located in Austin TX. Find other listings like Performance Analysis Tools - Summer Graduate Intern by searching Oodle for Jobs Intern Jobs.