SMTS - GPU Performance Architect Modeling

As a GPU Performance Architect at AMD's Data Center GPU organization, you play a crucial role in modeling high-performance GPU-centric SoCs for Cloud Computing and Machine Learning acceleration. Your responsibilities include architecting, analyzing, and optimizing SoCs to enhance performance and power optimization for next-generation data center systems. Key Responsibilities: - Participate in microarchitecture exploration, performance modeling, and analysis for next-generation GPU systems. - Understand the design and architecture to propose solutions for enhanced performance. - Assist in micro-benchmarking, workload characterization, competitive analysis, bottleneck identification, and optimization. - Develop tools and methodologies for performance analysis of workloads. - Communicate, propose, and implement solutions to improve processor and system performance. Qualification Required: - Ph.D. in Computer Science / Electronics Engineering with a minimum of 3 years of experience as a Performance Engineer - M.S./M.Tech. in Computer Science / Electronics Engineering with a minimum of 5 years of experience as a Performance Engineer - B.Tech. in Computer Science / Electronics Engineering with a minimum of 7 years of experience as a Performance Engineer By joining AMD's Data Center GPU organization, you will be part of a team dedicated to transforming the industry with AI-based Graphic Processors. The focus of the team is on designing exceptional products to drive computing experiences in enterprise Data Centers, Artificial Intelligence, HPC, and Embedded systems. You will have the opportunity to work on building AI-powered products with a group of amazing people. Location: Bangalore, India,