IOTG OpenVINO Runtime Engineering team is looking for talented and highly motivated AI frameworks engineer interns. OpenVINO (https://github.com/openvinotoolkit/openvino) is an open-source toolkit for maximizing the performance of deep learning network models on various Intel platforms. You will be working on developing highly optimized software for Intel GPUs, collaborating with global Intel teams.

Qualifications

Qualifications

• Good programming and debugging skills with C/C++ on Linux.

• Good knowledge of data structures and algorithms.

• Basic understanding of operating systems, system software, and computer architecture.

Preferred Qualification

• Basic knowledge of deep learning technologies.

• Programming with Python or Shell script.

Education

• Students who are currently pursuing a B.S or M.S/Ph.D. degree in Computer Science, Electrical Engineering, or related field.

Additional Notes

• You'll be required to work full-time for a year but might have flexibility depending on your circumstances.

• 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.

Inside this Business Group

The Internet of Things Group (IOTG) consists of ~4700 dedicated employees across 25 locations across the world. IOTG drives significant growth in the Internet of Things (IoT) market, capitalizing on the inflection and creation of edge computing, leveraging smart, connected devices and artificial intelligence (AI) to enable partners to transform their businesses. IOTG's vision is to lead the industry and enterprises to enhance the way we live and work by making it easier to create exciting, new IoT/edge solutions. IOTG's strategy includes creating unique differentiated silicon to consolidate workloads at the Edge, investing in video and AI inference as the killer app for the Edge, creating new developer tools and ecosystems, and establishing a dedicated vertical consultative sales team to add value to our partners across many verticals.

Work Model for this Role

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.