What are the responsibilities and job description for the Sr. Director Workload Performance Optimization position at 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 TEAM:
AMD's Data Center GPU (DCGPU) organization is shaping the future with AI-based GPUs for enterprise data centers, AI, HPC, and embedded systems. Join us as we build cutting-edge AI-powered products with a world-class team.
THE ROLE:
Seeking a Senior Director technical leader to drive GPU workload performance optimization, deep learning training/inference efficiency, and architecture innovation through advanced optimization techniques.
THE PERSON:
A strong and collaborative leader who can guide SoC/System architects, profile and optimize GPU workloads, and influence design decisions across AI and HPC infrastructure.
KEY RESPONSIBILITIES:
- Strategic Vision: Define long-term GPU performance and optimization roadmaps.
- Performance Excellence: Identify and mitigate workload bottlenecks in compute, memory, and interconnects.
- Design Influence: Partner with architects on next-gen GPU and framework design.
- Innovation: Develop new optimization methods (custom kernels, fusion, distributed computing).
- Cross-Functional Collaboration: Align with product, business, and research teams.
- Culture: Promote technical excellence and performance-first engineering.
PREFERRED EXPERIENCE:
- Deep expertise in GPU architecture, parallel computing, and performance profiling.
- Proven leadership in guiding large engineering teams.
- Strong communication with executives, technical teams, and stakeholders.
- Knowledge of large-scale AI/HPC systems, multi-node GPU clusters, and memory hierarchies.
ACADEMIC CREDENTIALS:
MS in Computer Engineering, Electrical Engineering, Computer Science, or related field
LOCATION:
Santa Clara, CA is primary location
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Benefits offered are described: AMD benefits at a glance.
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