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Experienced PhD or MS+8 years in Electrical/Computer Engineering, Computer Science, or a relevant engineering discipline 3-5 years of experience with visual computing, machine learning related research 2 years of experience with large-scale search space optimization methodologies, AutoML, RL/Bayesian optimizations 3-5 years of strong algorithm development, and optimizing for hardware platform Strong background in computer architecture and Intel platform architecture Familiarity in optimizing system software or mapping key compute kernel on hardware technologies. Proven track record of taking initiative and driving projects to completion - results orientation Preferred Qualifications: Experience with cross-domain co-optimization (e.g., media + ai) related research Familiarity with workload characterization and HW performance modeling. The ideal candidate should exhibit behavioral traits that indicate: Excellent interpersonal and communications skills, and exceptional team player Demonstrated attention to detail and can take direction and follow-through on assignments
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.