Intel Labs is seeking motivated researcher in the area of parallel and distributed computing research applied towards Artificial Intelligence and High Performance computing. This is a full-time position with the Parallel Computing Lab. The Parallel Computing Lab is an Application Driven Architecture research lab focused on emerging applications that advance the computational frontier. The research focuses on 1) Devise approaches and tools to study and address the needs of most challenging compute- and data-intensive applications 2) 1) developing/enabling breakthrough algorithms in the application domains limited by a massive computational scale, 3) drive future architectures and technologies via HW-SW co-design 4) Develop middleware and compiler techniques to deliver performance productively. We are focused on delivering new Intel software and hardware technologies that will transform the enterprise and technical computing experience. We work in close collaboration with leading academic and industry partners to accomplish our mission.In this position, you will be responsible for conceiving, researching, and prototyping new parallel and distributed computing algorithms and frameworks, with special emphasis on artificial intelligence, and you will develop relevant software and hardware technologies with the goal of converting these into products and fueling Intel’s growth. You will use your strong knowledge of scientific principles to identify and research promising technologies typically 3-5 years prior to product development. This requires a good understanding of state-of-the-art techniques in parallel computing, machine learning, distributed computing, optimization of algorithms, and benchmarking, along with a strong understanding of computer architecture. You must also possess strong verbal and written communication skills and the demonstrated ability to work in a demanding team-oriented environment. You are expected to maintain substantial knowledge of state-of-the-art principles and theories, and contribute regularly to scientific literature and the research community at-large. You may also participate in the development of intellectual property.
You must possess the minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum qualifications and are considered a plus factor in identifying top candidates. Experience would be obtained through your educational level research and/or relevant job/internship experiences. Minimum Qualifications: -PhD or MS Research in Electrical/Computer Engineering, Computer Science, or a relevant engineering disciplinePreferred Qualifications:-1 -3 year of experience in machine learning or artificial intelligence related research-1-3 year of experience with Xeon or GPU programming, performance profiling and characterization and architecture specific optimizations -1-3 year experience spanning HW-SW co-design, system architecture, performance optimization, – 1-3 year experience in compiler techniques
Shift 1 (India)
Intel Labs is the company’s world-class, industry leading research organization, responsible for driving Intel’s technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel’s growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.
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.
Position of Trust
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. In certain circumstances the work model may change to accommodate business needs.
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