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Intel technologies Looking for GPU Compute SW Developer Intern at Santa Clara, California

Intel technologies

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 AI and High Performance Computing? Are you proactive and a quick self-learner in debugging and problem solving? Are you passionate about challenging yourself and would you love to contribute as part of a world-class company? Working and learning in fast-paced environment?

We are looking for GPU Compute SW Developer Intern to work exciting GPU compute programs.

Responsibilities will include, but are not limited to:

  • Develop SW workload proof-of-concept prototypes on state-of-the-art GPUs in the AI/HPC domain
  • Working closely with software leaders and open-source software

Behavioral traits we are looking for:

  • Strong communication skills
  • Problem solving and analytical skills.

Qualifications

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.

Minimum Qualifications:
You must be pursuing a Master’s Degree in Electrical/Computer Engineering, Computer Science or related fields OR must be pursuing a PhD in the same fields:

You should have 3+ months of experience in the following areas:

  • Python and C++ programming skills
  • Good understanding of data structures and algorithms

Preferred Qualifications

  • CUDA/OpenCL/other parallel programming skills
  • Experience with Deep Learning frameworks (PyTorch)
  • Experience with any AI/HPC workloads

Must be available for a minimum of 3 months of Internship.

Inside this Business Group

The focus of Accelerated Computing Systems and Graphics (AXG) is to accelerate our execution in strategic growth areas of high-performance computing and graphics. AXG is chartered with delivering high performance computing and graphics solutions (IP, Software, Systems), for both integrated and discrete segments across client, enterprise and data center.  Our mission is to make zeta-scale computing accessible to every human on the planet by the end of this decade and to entertain, educate and connect billions of people with buttery smooth visual experiences.

Covid Statement

Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

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: https://www.intel.com/content/www/us/en/jobs/benefits.htmlAnnual 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.

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