Client AI (Movidius) group specializes in design of high-performance, ultra-low power Neural network IP technology for advanced AI applications. Step inside our world and you’ll find one brilliant mind after another working together in a spirit of collaboration that is simply contagious. And through this shared dedication, a culture of innovation and exploration, we do more than deliver the latest technologies. We deliver the future. And this is where you come in. We need innovators and proven communicators like you to push our thinking. We need your strong collaboration and organizational skills, as well as your ability to effectively work with and manage teams. You will help push us to the next level. Joining Client AI (Movidius) means joining a dynamic team at a company that has established a reputation for innovation.
Client AI (Movidius) has multiple Internships available in 2023 across all our hardware and software centric design teams. We have roles in the following teams:
Hardware focused roles:
� Physical design team – Physical layout, design and verification
� RTL Design team – Hardware IP design and verification
� Architecture team – Hardware Architecture design
� Verification team – Hardware IP verification and design qualification
� AI Applications team – Evaluate Neural network use cases
Software focused roles:
� Complier team – Developing the optimised compilers for the IP
� Dev Ops – IT and Operational services
� VPU Software – Developing software drivers and firmware for the IP
� Pre-Silicon Simulation team – IP Models and integrating them into virtual platforms.
Mixed SW/HW roles:
� Emulation team – Developing and validate pre silicon models on FPGA and emulation platforms.
� Design Automation – Infrastructure and automation
[Please indicate on your cover letter roles you would be interested in]
Specific technical activities will vary depending per team, with all internships working on our current cutting-edge VPU neural processor technology portfolio. A strong problem-solving mindset is needed to resolve issues in flows, in designs, in testcases, toolsets etc.QualificationsQualifications
The candidate must be Graduated with Level 8 college course in Electronic Engineering, Computer Engineering, Computer Science or an equivalent course and preferably a PhD candidate in the fields of AI and computer vision areas. You must also be available for six to eight months in 2023 with a preferred starting date between January and June.
� Strong analytical and problem-solving skills.
� Self-motivated with ability to work independently and manage stakeholders.
� Excellent written and verbal communication skills.
� Demonstrated team dynamics / ability to work as part of a high performing team.
� Ability to deal with ambiguity in defining activities and direction.
� Good planning and organization skills.Inside this Business GroupThe Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel’s PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to continue to advance PC experiences to deliver the real-world performance people demand. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.Posting StatementAll 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.BenefitsWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, and benefit programs. Find more information about our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.htmlWorking ModelThis 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.