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
#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
#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.
