Director Product Manager – AI Workloads & Performance Job Listing at AMD in Santa Clara, CA (Job ID 80400-en-us)

Description

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: 

At AMD, delivering industry-leading AI performance is central to our data center strategy. As a Director of Product Manager for AI Workloads & Performance within the Data Center GPU & Accelerated Processing organization, you will define and drive the performance strategy for AI model workloads running on AMD Instinct™ GPUs. 

You will operate at the intersection of product, engineering, and customers — translating real-world AI workload requirements (LLMs, generative AI, computer vision, recommendation systems, and industry benchmarks) into differentiated product capabilities. Your mission is to ensure AMD platforms deliver best-in-class, easy-to-achieve performance across the AI ecosystem. 

This role requires both deep technical fluency and strong product leadership. You will shape roadmap priorities, influence software and hardware optimization investments, guide go-to-market positioning, and ensure customers can unlock the full potential of AMD's AI acceleration portfolio. 

THE PERSON: 

You are a strategic product leader with deep expertise in AI workloads and GPU performance. You combine technical credibility with business acumen and customer empathy. You are comfortable engaging hyperscalers, enterprise customers, and internal engineering teams, and you know how to turn performance insights into product direction. 

You thrive in ambiguity, influence without authority, and elevate organizations around you. You are passionate about AI innovation and relentless about delivering measurable customer value through performance leadership. 

KEY RESPONSIBILITIES: 

• Define and own the AI workload performance strategy for AMD Instinct GPUs.
• Translate customer and ecosystem requirements into prioritized roadmap investments across hardware, ROCm software, and AI frameworks.
• Identify workload gaps and competitive opportunities to drive differentiated performance leadership.
• Engage directly with hyperscalers, enterprises, ISVs, and AI innovators to understand performance bottlenecks, scaling challenges, and deployment friction.
• Partner closely with AI software engineering, silicon architecture, performance engineering, and developer relations to align execution with product strategy.
• Influence optimization priorities across ROCm, ML frameworks, and ecosystem tooling. 
  Guide development of performance best practices, optimization frameworks, and workload tuning methodologies.
• Shape containerized solutions, reference architectures, and performance recipes that accelerate customer time-to-value.
• Analyze competitive AI accelerator positioning and identify strategic inflection points. 
  Establish metrics and KPIs that measure workload leadership beyond synthetic benchmarks.
• Strategic thinker with the ability to connect silicon capabilities to customer outcomes.
• Deep understanding of AI model architectures, distributed training, inference optimization, and performance scaling.
• Strong executive communication skills with the ability to influence senior stakeholders internally and externally.
• Data-driven decision-maker with a structured approach to prioritization.
• Proven ability to lead cross-functional initiatives across large, matrixed organizations.
• Customer-obsessed mindset with a focus on enabling real-world performance wins.

PREFERRED EXPERIENCE: 

• Proven years of experience in product management, performance engineering, or AI infrastructure roles.
• Direct experience running and optimizing large-scale AI workloads on GPUs or AI accelerators.
• Strong familiarity with ROCm, CUDA, HIP, distributed training frameworks, PyTorch, TensorFlow, and inference stacks.
• Experience working with hyperscale datacenter, HPC, or enterprise AI customers.
• Demonstrated success influencing hardware and software roadmap decisions.
• Strong technical foundation with proficiency in Python and/or C/C++.
• Experience defining and interpreting industry benchmarks (e.g., MLPerf)

ACADEMIC CREDENTIALS: 

• BS in Computer Science, Computer Engineering, Electrical Engineering, or related field required. MS or PhD preferred. 

LOCATION: 

• Santa Clara, CA 

This role is not eligible for visa sponsorship.

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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.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD's “Responsible AI Policy” is available here.

This posting is for an existing vacancy.