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AMD
San Jose, California
Source: AMD careers · View original posting
From AMD's posting. “We” and “our” refer to the employer.
We are seeking a Principal GenAI Inference Optimization Engineer to join our Models and Applications team. This role focuses on improving performance, efficiency, and scalability of generative AI inference workloads on AMD GPU platforms. You will contribute to optimizing latency, throughput, and cost efficiency for real-world deployment of large-scale models, working across the software-hardware stack.
THE PERSON
The ideal candidate is a strong technical contributor with expertise in GenAI inference optimization, GPU performance, and large-scale serving systems. You have a solid understanding of GPU architecture, memory systems, and communication patterns, and can apply this knowledge to improve inference efficiency.
You are comfortable working across multiple layers—from kernels and runtimes to frameworks and serving systems—and can independently drive optimization efforts while collaborating with cross-functional teams.
We are seeking a Principal GenAI Inference Optimization Engineer to join our Models and Applications team. This role focuses on improving performance, efficiency, and scalability of generative AI inference workloads on AMD GPU platforms. You will contribute to optimizing latency, throughput, and cost efficiency for real-world deployment of large-scale models, working across the software-hardware stack.
THE PERSON
The ideal candidate is a strong technical contributor with expertise in GenAI inference optimization, GPU performance, and large-scale serving systems. You have a solid understanding of GPU architecture, memory systems, and communication patterns, and can apply this knowledge to improve inference efficiency.
You are comfortable working across multiple layers—from kernels and runtimes to frameworks and serving systems—and can independently drive optimization efforts while collaborating with cross-functional teams.
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