Lead GPU Machine Learning & HPC ArchitectAdvanced Micro Devices , Inc. • United States
Lead GPU Machine Learning & HPC Architect
Advanced Micro Devices , Inc.
- United States
- United States
À propos
At AMD, our mission is to build great products that accelerate next-generation computing experiencesfrom 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 challengesstriving 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
RTG (Radeon Technologies Group) Architecture team in Folsom, CA is passionate about developing next-generation GPU solutions. As a Lead GPU Machine Learning & HPC Architect, you will collaborate with a strong architecture and design team on developing next generation products for data centers and super-computers. You will engage in architecture exploration, modeling and analysis of ML/HPC workloads. Through your experiments and analysis, you will provide valuable insight into new and emerging hardware and software technologies and MI line of products. The Person
You have excellent analytical and problem-solving skills, along with attention to detail. You are an effective team player who focuses on collaboration, team building, mentoring, and furthering team success. You have strong communication, time management, and presentation skills Key Responsibilities
Communicate and collaborate with a network of experienced architects and designers around the world. Identify complex technical problems, break them down, summarize possible solutions Work with architects to propose innovative solutions that can be implemented in HW, validated by developing various models/simulators Collect/summarize data or simulation results for consumption by architects and design teams Preferred Experience
Knowledge in GPU architectures, basic knowledge of CPU architecture Background in Network-on-Chip (NoC) design and interconnect systems Experience in machine learning (ML) networks including TensorFlow and PyTorch Understanding of Graphics and Compute API's such as CUDA, OpenCL, and Vulkan Experience with operating systems (OS) and device driver development is a plus Strong programming foundation in C, C++, and scripting languages (Python, etc.) Experience in hardware modeling and design using RTL or SystemC Academic Credentials
Undergrad degree required. Bachelor of Science, Masters, or PhD degree with emphasis in Electrical Engineering, Computer architecture, or Computer Science with relevant experience preferred This role is not eligible for Visa sponsorship.
Compétences linguistiques
- English
Avis aux utilisateurs
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