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Software Engineer, GPU Compute and Deep Learning - Summer

Company: Intel
Location: Santa Clara
Posted on: November 11, 2019

Job Description:

SunIRef:it Software Engineer, GPU Compute and Deep Learning - Summer 2020 Internship Intel 4,524 reviews - Santa Clara, CA 95052 Temporary, Internship Intel 4,524 reviews Read what people are saying about working here. Job Description Come intern for Intel, one of the largest engineering companies of the world! At Intel, we're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. Do you want to help drive the progress of GPU compute for a variety of complex software application? Are you excited to learn how GPU performance powers technology such as mobile gaming, deep learning, and self-driving cars? Are you proactive and a quick study in debugging and problem solving? Are you passionate about challenging yourself and would you love to contribute as part of a world-class company? We are looking for software engineering interns to work exciting GPU compute programs for Summer 2020. Come and join the Intel Architecture, Graphics and Software group (IAGS) as an Intern with the Software Architecture team. What you'll be doing: Working closely with software architects to code, validate (functionality and performance) and test state-of-the-art GPU compute software blended with deep learning technology Working closely with System/Software architect to build common infrastructure for automation and use the latest industry standard tools! Candidate must have excellent communication Qualifications Minimum Requirements: Candidate must be pursuing a MS or PhD program with a focus in Engineering (CS, EE, CE, etc.) At least 6+ months: You demonstrate excellent C/C++, Go programming, software design, and debugging skills in a Linux environment Experience with a scripting language (Python, Bash, etc.) Software development experience with a significant focus on Linux System-level debugging experience and problem-solving skills Preferred Qualifications: Familiarity with GPU or CUDA programming or High-Performance Computing. Experience in working with the Linux and open-source software frameworks Familiarity with Deep Learning and neural networks, computer vision, OpenCL, SYCL, CUDA and OpenGL application programming Inside this Business Group Intel Architecture, Graphics, and Software (IAGS) brings Intel's technical strategy to life. We have embraced the new reality of competing at a product and solution levelnot just a transistor one. We take pride in reshaping the status quo and thinking exponentially to achieve what's never been done before. We've also built a culture of continuous learning and persistent leadership that provides opportunities to practice until perfection and filter ambitious ideas into execution. 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.... Intel - Today report job - original job

Keywords: Intel, San Francisco , Software Engineer, GPU Compute and Deep Learning - Summer, IT / Software / Systems , Santa Clara, California

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