GPU Performance Analysis Engineer

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.

THE TEAM:

AMD's Data Center GPU (DCGPU) 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 experience, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems. If this resonates with you, come and join our DCGPU organization where we are building amazing AI powered products with amazing people.

THE ROLE:

You will join a focused and highly skilled team responsible for driving GPU product performance attainment across hardware, software, and platform domains. In this role, you will support performance attainment initiatives for new GPU products and conduct in-depth performance analyses of AI workloads to improve the efficiency and effectiveness of both current and future products.

THE PERSON:

You have good communication and analytical/problem-solving skills.

You are a fast learner and willing to take on new challenges.

You are a self-starter who can work independently but works toward making the overall product successful.

You should have good analytical and problem-solving skills with an interest in constantly making things stronger, better, faster.

KEY RESPONSIBILITIES:

• Utilize your professional experience in CPU and GPU architecture, programming, and workload or data analysis to address a variety of tasks, including conducting performance and power analyses on workloads, as well as developing tools to support such assessments.
• Adapt quickly to new architectures and contribute to the rapid deployment of new products by ensuring optimal performance during their introduction
• Identify and resolve root causes of performance regressions, whether related to performance or power features, collaborating with relevant teams to implement solutions.
• Engage with forward-looking hardware teams to ensure that any issues discovered in silicon are addressed in future designs.
• Lead or participate in cross-functional performance debugging efforts, and perform comprehensive analyses, breakdowns, and comparisons of workload performance.
• Generate and evaluate performance data on new GPU hardware to support ongoing product improvement.

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PREFERRED EXPERIENCE:

• Previous experience with performance analysis and optimization
• Strong knowledge of CPU/GPU architectures
• Previous experience visualizing or analyzing data are desirable.
• Good programming skills: preference for Python.
  
  

ACADEMIC CREDENTIALS:

• 3-10 years related work experience in a and minimum BS degree in EE and CS/CE or ECE degree(s) are required.
• #LI-RL1

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.