Fellow GPU Architect - Hardware/ Software Co-Design
About The Position
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. We are seeking two Fellow GPU Architects - Hardware/ Software Co-Design to join our team to develop product roadmap for instinct GPU's, In this role, you'll drive roadmap definition and HW/SW co-design activities to deliver new capabilities of data center GPU's. You will work with customers to deeply understand AI/ML models and trends to customize instinct GPU architecture. Your work will straddle AI model research and hardware design to deliver state of the art GPU's that excel at AI model performance for inference and training.
Requirements
- You bring excellent communication, management, and presentation skills, demonstrated through technical publications, presentations, trainings, executive briefings, etc.
- You are highly adept at collaboration among top-thinkers and engineers alike, ready to mentor and guide, and help to elevate the knowledge and skills of the team around you.
- Adept at collaboration among top-thinkers and senior architects with strong interpersonal skills to work across teams in different geographies.
- Undergrad degree required. Bachelors or Masters degree in computer engineering/Electrical Engineering preferred.
Nice To Haves
- Experience with HIP, Triton, Cuda and mapping key Algorithms used in AI to hardware units like tensor cores
- Deep understanding of transformer models , deep intuition for model break down and parallelization techniques and trade off’s involved
- Experience analyzing CPU, GPU or System-level Micro-Architectural features to identify performance bottlenecks within different workloads
- Outstanding foundation in SoC architecture, with expertise in one or more of the following: CPU or GPU, Memory sub-system, Fabrics, CPU/GPU coherency, Multimedia, I/O subsystems, Clocks, Resets, Virtualization and Security
- Demonstrated expertise in power management microarchitecture, low power design and power optimization, along with power impact at architecture, logic design, and circuit levels
Responsibilities
- Utilize extensive understanding of GPUs/ AI accelerators to identify key bottlenecks in AI workloads
- Maintain a continuous learning of latest trends in AI algorithms as well as inference and training frameworks
- Work closely with product management to study perf/tco, customer requirements to tailor GPU product architecture
- Define product features and capabilities, close architecture, and micro-architecture requirements, drive technical specifications for SoC and IP blocks to meet those requirements, and provide technical direction to execution teams for AMD's next generation Instinct GPU's
- Collaborate with architects, hardware engineers, and firmware engineers to understand the new features to be developed
- Work cross functionally with IP/Domain architects to identify and assess complex technical issues/risks and develop architectural solutions to achieve product requirements
Benefits
- AMD benefits at a glance.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
