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: The successful candidate will assume responsibility for post-silicon activities related to performance characterization and optimization of AMD Datacenter products THE PERSON: You have a passion for computer architecture, along with knowledge of HPC and ML workloads. You are a team player who has excellent communication skills and experience collaborating with other engineers located in different sites/time zones. Must be a quick learner, self-starter and be able to drive multiple tasks to completion. KEY RESPONSIBILITIES: Become a key stakeholder in power and performance definition process Develop and Execute performance characterization and optimization test plans for different usage scenarios (High performance compute, Machine learning frameworks, etc.). Analyzing interactions between various power management features and optimize their configurations for performance Exploit core architecture bottlenecks to test and mitigate worst case scenarios Support prototyping experiments for improving current and implementing new features that impact performance Debugging and troubleshooting system-level issues that may occur in test environments and platforms Proactively driving continuous improvement for post-silicon performance activities Workload automation for performance data collection PREFERRED EXPERIENCE: Strong programming skills: Strong preference for Python, TensorFlow Desirable to be proficient in C or C++, PHP and Shell scripting Good understanding of computer organization/architecture. Strong understanding of HPC and ML workloads Strong analytical and problem-solving skills with a key attention to detail Outstanding interpersonal and communication skills ACADEMIC CREDENTIALS: Bachelors or Masters degree in Computer Engineering/Electrical Engineering/Computer Science/Software Engineering LOCATION: Austin, TX #LI-BW1 #LI-Hybrid At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here. 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.