PREFERRED EXPERIENCE:

• Experience working directly with companies creating large scale datacenter GPU deployments.
• Machine learning workload expert
• GPU performance expert
• Demonstrated effective communication skills

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 ROLE:

In this role you will be responsible for creating solutions to the most challenging performance problems that AMD’s customers face in deploying cutting edge AI and HPC workloads on MI GPUs. You will understand the customer’s performance requirements, find solutions to their problems, and get those solutions implemented, ensuring AMD’s MI GPUs exceed the customer’s performance expectations.

KEY RESPONSIBILITIES:

• Represent AMD in technical performance discussions with customers who are creating large scale datacenter GPU deployments.
• Gather customer performance requirements, use these requirements to drive prioritization and strategic direction of AMD’s performance engineering activities.
• Analyze, debug and root cause the most difficult customer performance problems that no one else can solve.
• Use your understanding of customer priorities together with your machine learning workload expertise to prioritize the performance engineering work across multiple technical teams.
• Provide guidance and oversight to multiple teams of engineers to solve a diverse array of time-bound technical problems across all aspects of the systems being deployed.
• Drive analysis and optimization of key machine learning workloads based on customer feedback.
• Identify competitive performance gaps and drive solutions by working with architects and engineers across all domains of the product including hardware, software, and firmware.
• Use your machine learning expertise to identify strategic domains of focus that will lead to competitive performance advantages for AMD’s graphics products and work across engineering domains to drive these solutions into products.