Machine Learning Performance Optimization Specialist

4 days ago


San Jose, California, United States AMD Full time
The Role

We are seeking a highly skilled Machine Learning Performance Engineer to join our team at AMD. As a key member of our organization, you will be responsible for modeling, projecting, and optimizing ML workloads for various hardware configurations. Your expertise will be crucial in understanding the interaction between ML workloads and hardware architecture, enabling us to design and develop innovative solutions that accelerate next-generation computing experiences.

Key Responsibilities
  • Develop and maintain performance models for ML training and inference workloads across single and multiple accelerators.
  • Collaborate with cross-functional teams to design and optimize hardware and software solutions for ML workloads.
  • Communicate complex technical information to stakeholders, providing actionable recommendations for performance improvement.
  • Design and implement tools and frameworks for performance estimation, modeling, and reporting.
The Ideal Candidate

We are looking for a highly motivated and experienced professional with a strong background in ML hardware architecture, software optimization, and performance modeling. Your excellent communication and presentation skills will enable you to effectively collaborate with our team and stakeholders.

Requirements
  • PhD or master's degree in Computer Science, Electrical Engineering, or a related field.
  • Strong technical expertise in performance analysis, projection, and hardware architecture.
  • Excellent written, verbal, and presentation skills.
About AMD

At AMD, we are committed to transforming lives with our technology. Our mission is to build great products that accelerate next-generation computing experiences. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. If you are passionate about performance optimization and shaping the future of AI acceleration, we encourage you to apply for this exciting opportunity.



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