CPU Performance Architect

Be part of the SoC Performance Architecture team shaping next-generation client SoCs. Drive innovation in performance modeling, performance analysis methodologies, and performance modeling infrastructure. Lead and execute research initiatives to enhance SoC performance, translating concepts into architectural models and partnering with architecture and design teams to deliver product-ready solutions. Model emerging microarchitectures, identify performance bottlenecks, and develop data-driven optimizations. Collaborate closely with validation teams to ensure performance features deliver measurable product benefits and meet architectural objectives.

Computer arch expertise with course/projects focusing on at least one aspect of computer architecture Alternately strong understanding of either traditional data structures and algorithms or deep learning techniques with an interest to apply them in computer architecture Strong C++ or object oriented programming skills Minimum expected experience - B.Tech + 5 yrs or M.Tech + 3 years or Ph.D with internships in following areas Experience in C++/System C TLM modeling Experience in specific sub-systems of Soc like cache, memory or fabric Experience with handling performance model/performance analysis of complex Socs with latency/bandwidth/power expectations Exposure to scripting or RTL validation environments is an added advantage Exposure in bringing up /integrating performance/functional simulators and/or analysis or workloads will be an added advantage.

          

Experienced Hire

Shift 1 (India)

India, Bangalore

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.

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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. * Job posting details (such as work model, location or time type) are subject to change.

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