Fellow, EPYC AI Product Architecture jobs in United States
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AMD · 5 months ago

Fellow, EPYC AI Product Architecture

positionAustin, Texas
timeFull-time
remoteHybrid
seniorityLead/Staff
money$203K/yr - $348K/yr
date10+ years exp

Advanced Micro Devices, Inc is a leading technology company focused on transforming lives with its innovative products. They are seeking a Fellow of EPYC AI Product Architecture to lead the definition of next-generation CPU and platform innovations tailored for AI workloads, collaborating with engineers and customers to deliver high-performance platforms for various AI applications.

AI InfrastructureArtificial Intelligence (AI)Cloud ComputingComputerEmbedded SystemsGPUHardwareSemiconductor
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Growth OpportunitiesbadNo H1BnoteU.S. Citizen Onlynote

Responsibilities

Lead architecture definition for AMD EPYC CPU and server platforms optimized for AI training and inference
Engage with hyperscalers, OEMs, and AI ISVs to align platform features with evolving workload needs
Evaluate and drive new CPU and platform features for deep learning models, including generative AI, vision, and recommender systems
Analyze performance bottlenecks using architecture simulation and hardware instrumentation; propose workload-driven improvements
Drive architectural trade-off analyses across compute, memory, I/O, and network subsystems
Build and refine performance models, automation tools, and workload testbeds for end-to-end analysis
Project and compare performance vs TCO tradeoffs under different system and silicon configurations
Shape AMD’s platform strategy for heterogeneous compute, working closely with GPU and AI accelerator teams
Represent AMD in industry forums, customer briefings, analyst interactions, and press engagements

Qualification

CPUServer architectureAI platform designAI software ecosystemsPerformance modelingDeep learning frameworksPerformance toolsGenerative AICross-functional leadershipCustomer engagementStrategic business insightData-driven mindsetExceptional communicator

Required

Deep technical expertise in CPU and server architecture for AI workloads
Proven track record influencing AI platform design at the pod, rack, or datacenter scale
Strong understanding of AI software ecosystems, frameworks, and optimization flows
Data-driven mindset, with ability to analyze and forecast workload performance across complex systems
Exceptional communicator who can translate technical complexity into compelling product narratives
Lead architecture definition for AMD EPYC CPU and server platforms optimized for AI training and inference
Engage with hyperscalers, OEMs, and AI ISVs to align platform features with evolving workload needs
Evaluate and drive new CPU and platform features for deep learning models, including generative AI, vision, and recommender systems
Analyze performance bottlenecks using architecture simulation and hardware instrumentation; propose workload-driven improvements
Drive architectural trade-off analyses across compute, memory, I/O, and network subsystems
Build and refine performance models, automation tools, and workload testbeds for end-to-end analysis
Project and compare performance vs TCO tradeoffs under different system and silicon configurations
Shape AMD's platform strategy for heterogeneous compute, working closely with GPU and AI accelerator teams
Represent AMD in industry forums, customer briefings, analyst interactions, and press engagements
MS or PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field
Recognized industry or academic thought leader; publications and patents in AI architecture a strong plus

Preferred

10+ years in high-performance CPU, server, or AI platform architecture, ideally with customer-facing responsibilities
Expertise in AI system deployments at scale (cloud, enterprise, HPC, or edge)
Demonstrated thought leadership in Generative AI (LLMs), vision, or recommender systems
Hands-on experience with performance tools, roofline models, and system simulation
Familiarity with AI compilers, quantization flows (QAT/PTQ), and workload optimization techniques
Proficient in deep learning frameworks such as PyTorch, TensorFlow, and inference runtimes like ONNX Runtime or TensorRT
Understanding of model deployment pipelines, sparsity techniques, advanced numeric formats, and mixed precision
Track record of cross-functional leadership and working in fast-paced, ambiguous environments

Company

AMD

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Advanced Micro Devices is a semiconductor company that designs and develops graphics units, processors, and media solutions.
dateFounded in 1969
location
Santa Clara, California, USA
people-size10001+ employees
web-link
http://www.amd.com

Funding

Current Stage
Public Company
Total Funding
unknown
Key Investors
OpenAIDaniel Loeb
2025-10-06Post Ipo Equity
2023-03-02Post Ipo Equity
2021-06-29Post Ipo Equity

Leadership Team

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Lisa Su
Chair & CEO
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Mark Papermaster
CTO and EVP
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Recent News

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Company data provided by crunchbase