Job Description

　　The Intel Movidius Neural Compute Hardware Engineering team is looking for a Research AI Scientist to work on VPU architecture, design, analysis, and optimizations activities. In this position, you will function as a member of the Advanced Architecture team and you will impact and influence the Artificial Intelligence product roadmap and development based on profound comprehension of Artificial Intelligence and Deep Learning algorithms, Deep Learning customer requirements and Deep Learning software frameworks.

　　Responsibilities may be quite diverse of a technical nature.

　　Your responsibilities will include but not limited to:

　　Develop Augmented Intelligence - AI + domain expertise - based solutions to drive holistic design optimization decisions during architecture and design phases of client products.

　　Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Machine Learning/Deep Learning.

　　Work closely with a diverse, interdisciplinary team on a specific project to be completed during the internship.

　　Publish key innovative ideas and results in top tier conferences and Journals.

　　The ideal candidate should exhibit the ideal behavioral traits:

　　Self-motivated and proactive with independent thinking mindset as an scientist.

　　Good communication, team orientation, and flexibility to adapt to a dynamic work environment with rapidly changing priorities.

　　As a team member, the candidate also bears responsibility to define and articulate methodology and work collectively with team to deliver the expected results.

　　Qualifications

　　Minimum qualifications are required to be initially considered for this position. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

　　Minimum Qualifications:

　　Currently pursuing a master's or a PhD Degree in Computer science, Electrical Engineering, or any STEM related field and 1+ years of experience or knowledge in AI and deep models, algorithms and hardware accelrators.

　　Inside this Business Group

　　The 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 deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. 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 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://jobs.intel.com/en/benefits)

　　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 require an on-site presence.