SOC Performance Architect � AI

Job Details:Job Description: Looking for a Fun, Challenging, and Rewarding role at Intel. Come and join us. The Datacenter Processor Architecture (DPA) group architects products that deliver leadership performance, performance efficiency and security for traditional as well as new paradigms for data centric computing in the datacenter and edge with the right balance of leadership technologies and IPs for computing, interconnect, memory and quality delivered through the best mix of silicon, packaging and platform solutions. DPA group is seeking a highly qualified candidate to be part of SoC Performance Architecture team working on next generation data center AI products. Research and improve methodologies and infrastructure for performance modeling, analysis and for workloads bring up and analysis. Own and drive research ideas to improve SoC performance including modeling these ideas in performance models and collaborating with wider arch and design teams to productize these ideas. Model proposed micro-arch in performance models, analyze bottle necks and propose solutions for them. . Work with validation teams to ensure performance features bring expected benefits in the product. As a Performance Architect, you will work in dynamic team environment hand in hand with our design, validation, and architecture teams to deliver best-in-class performance and innovations across the XEON CPU portfolio. The ideal candidate will have experience in computer architecture, software engineering, and performance analysis.Qualifications:You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications:Computer Architecture expertise with courses/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.1. Under graduate/ graduate course in computer science or related fields with minimum 2 years' experience in SoC performance modeling/analysis2. (or) Ph.D in computer science or related fields with specialization in computer architecture or allied fields Preferred Qualifications:1. Experience with handling performance model/ performance analysis of complex SoCs with latency/ bandwidth/ power expectations2. Expertise in specific sub-systems in SoC like caches, memory controller or fabrics.3. Experience with performance modeling using C++/System C TLM4. Exposure to any kind of scripting and RTL validation environments will be an added advantage.5. Exposure to bringing up/integrating performance/functional simulators and/or analysis of workloads will also be an added advantage.Job Type:Experienced HireShift:Shift 1 (India)Primary Location: India, BangaloreAdditional Locations:Business group:In the Design Engineering Group (DEG), we take pride in developing the best-in-class SOCs, Cores, and IPs that power Intel’s products. From development, to integration, validation, and manufacturing readiness, our mission is to deliver leadership products through the pursuit of Moore’s Law and groundbreaking innovations.  DEG is Intel’s engineering group, supplying silicon to business units as well as other engineering teams.  As a critical provider of all Intel products, DEG leadership has a responsibility to ensure the delivery of these products in a cost efficient and effective manner.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.Position of TrustN/A

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.