SoC System Performance Architect AI/ML

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ The Team: AMD's Data Center GPU organization is transforming the industry with our AI based Graphic Processors. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems. If this resonates with you, come and joining our Data Center GPU organization where we are building amazing AI powered products with amazing people. The Role: Architect, Analyze and optimize high-performance SoCs for Cloud computing, and machine learning acceleration. Propose solutions to enhance performance and optimize power. Explore, analyze and optimize next-generation data center systems. The Person: Do you seek the most sophisticated challenges in the computing industry? As a passionate system performance architect on our design engineering team, you will propose and implement solutions to our next generation GPU SoC and data center system application performance issues. Key Responsibilities: Serve as a Performance Architect in AMD's electronics design engineering team. Participate in microarchitecture exploration, performance modeling, and analysis for next-generation GPU systems. Intimately understand design architecture and propose solutions to enhance performance Responsible for micro-benchmarking, workload characterization, competitive analysis, bottleneck identification, and optimization. Develop tools and methodology for performance analysis of workloads. Communicate, propose, and implement solutions to processor and system performance issues. Preferred Experience: Experience with GPU, CPU or computer system microarchitecture and Data Center/Rack level performance anal Experience with the development and usage of socket and system level performance models Experience with ML workload analysis Strong programming skills, including experience with C++ and Python (or similar) Academic Credentials: PhD in Computer Engineering, Electrical Engineering, Computer Science, or a closely related field of study. MS in Computer Engineering, Electrical Engineering, Computer Science, or a closely related field of study plus experience as a Computer Architect, Design Engineer, or in a closely related processor design role Location: Austin TX #LI-MR1 Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
The Team: AMD's Data Center GPU organization is transforming the industry with our AI based Graphic Processors. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems. If this resonates with you, come and joining our Data Center GPU organization where we are building amazing AI powered products with amazing people. The Role: Architect, Analyze and optimize high-performance SoCs for Cloud computing, and machine learning acceleration. Propose solutions to enhance performance and optimize power. Explore, analyze and optimize next-generation data center systems. The Person: Do you seek the most sophisticated challenges in the computing industry? As a passionate system performance architect on our design engineering team, you will propose and implement solutions to our next generation GPU SoC and data center system application performance issues. Key Responsibilities: Serve as a Performance Architect in AMD's electronics design engineering team. Participate in microarchitecture exploration, performance modeling, and analysis for next-generation GPU systems. Intimately understand design architecture and propose solutions to enhance performance Responsible for micro-benchmarking, workload characterization, competitive analysis, bottleneck identification, and optimization. Develop tools and methodology for performance analysis of workloads. Communicate, propose, and implement solutions to processor and system performance issues. Preferred Experience: Experience with GPU, CPU or computer system microarchitecture and Data Center/Rack level performance anal Experience with the development and usage of socket and system level performance models Experience with ML workload analysis Strong programming skills, including experience with C++ and Python (or similar) Academic Credentials: PhD in Computer Engineering, Electrical Engineering, Computer Science, or a closely related field of study. MS in Computer Engineering, Electrical Engineering, Computer Science, or a closely related field of study plus experience as a Computer Architect, Design Engineer, or in a closely related processor design role Location: Austin TX #LI-MR1