Lead Performance Modeling Engineer – GPU SoC

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Lead Performance Modeling Engineer – GPU SoC   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 and data center 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 • Experience with the development and usage of computer system performance models • Experience with computer workload analysis • Strong programming skills, including experience with C++ and Python (or similar) Academic Credentials: • Bachelors, Masters, or PhD degree in Electrical Engineer, Computer Engineering, Computer Science or a closely related field • Masters or PhD with emphasis on Computer Architecture performance studies preferred #DC-GPU #LI-PK1 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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy. Lead Performance Modeling Engineer – GPU SoC   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 and data center 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 • Experience with the development and usage of computer system performance models • Experience with computer workload analysis • Strong programming skills, including experience with C++ and Python (or similar) Academic Credentials: • Bachelors, Masters, or PhD degree in Electrical Engineer, Computer Engineering, Computer Science or a closely related field • Masters or PhD with emphasis on Computer Architecture performance studies preferred #DC-GPU #LI-PK1 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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.