Advanced Micro Devices, Inc.
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 ROLE AMD is seeking a
Fellow of EPYC AI Product Architecture
to lead the definition of next‑generation CPU and platform innovations tailored for AI workloads. You will be a key technical leader within the EPYC AI Product organization, shaping AMD’s AI platform strategy across silicon, systems, and software. This role sits at the intersection of architecture, product definition, customer engagement, and business impact, driving differentiated solutions across cloud, enterprise, and hyperscale deployments.
You will collaborate with world‑class engineers, technologists, and customers to deliver high‑performance, efficient, and scalable platforms for deep learning, generative AI, recommendation systems, and classical ML. You will engage deeply with AMD’s silicon, platform, and software teams to translate workload insights into architectural innovations and platform capabilities that shape the future of AI compute.
THE PERSON We are looking for a visionary, results‑driven technical leader with a deep understanding of AI workload requirements and system‑level architecture. You combine
technical breadth
across CPUs, servers, and AI acceleration platforms with
customer fluency
and
strategic business insight . You are equally comfortable engaging in low‑level performance modeling as you are briefing customers, analysts, and press on AMD’s roadmap and product direction.
Key Attributes:
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
KEY 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
PREFERRED EXPERIENCE
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
Optional: CUDA programming or Hugging Face pipelines
Track record of
cross‑functional leadership
and working in fast‑paced, ambiguous environments
ACADEMIC & PROFESSIONAL CREDENTIALS
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
LOCATION Preferred locations:
Santa Clara, CA
or
Austin, TX
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.
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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 ROLE AMD is seeking a
Fellow of EPYC AI Product Architecture
to lead the definition of next‑generation CPU and platform innovations tailored for AI workloads. You will be a key technical leader within the EPYC AI Product organization, shaping AMD’s AI platform strategy across silicon, systems, and software. This role sits at the intersection of architecture, product definition, customer engagement, and business impact, driving differentiated solutions across cloud, enterprise, and hyperscale deployments.
You will collaborate with world‑class engineers, technologists, and customers to deliver high‑performance, efficient, and scalable platforms for deep learning, generative AI, recommendation systems, and classical ML. You will engage deeply with AMD’s silicon, platform, and software teams to translate workload insights into architectural innovations and platform capabilities that shape the future of AI compute.
THE PERSON We are looking for a visionary, results‑driven technical leader with a deep understanding of AI workload requirements and system‑level architecture. You combine
technical breadth
across CPUs, servers, and AI acceleration platforms with
customer fluency
and
strategic business insight . You are equally comfortable engaging in low‑level performance modeling as you are briefing customers, analysts, and press on AMD’s roadmap and product direction.
Key Attributes:
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
KEY 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
PREFERRED EXPERIENCE
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
Optional: CUDA programming or Hugging Face pipelines
Track record of
cross‑functional leadership
and working in fast‑paced, ambiguous environments
ACADEMIC & PROFESSIONAL CREDENTIALS
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
LOCATION Preferred locations:
Santa Clara, CA
or
Austin, TX
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.
#J-18808-Ljbffr