GPU Performance Architect

AMD · full-time · posted 4 Sep

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The actual job

GPU Performance Architect

AMD

Top skills
Python
Engagement
Full-time
Posted
about 17 hours ago

What the posting asks for

  • Kernel development of LLMs
  • PyTorch
  • Triton
  • CUDA
  • HIP

Employer text

The posting, in its own words

ADVANCE YOUR CAREER. ADVANCE THE WORLD.At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them.AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward. THE ROLE: The Architecture team plays a critical role in AMD’s success by driving innovation and delivering world-class GPU hardware solutions. As a GPU Performance Architect, you will work on cutting-edge projects alongside a highly skilled and passionate global team.THE PERSON: A self-motivated graphics enthusiast. An effective team player who focuses on collaboration, team building, mentoring, and furthering team success. Excellent analytical and problem-solving skills, along with attention to details. Strong communication, time management, and presentation skills. Effective Team player who focuses on collaboration and furthering team success KEY RESPONSIBILITIES: Work on workload/competitive analysis of contemporary and futuristic game/AI/ML applications Identify complex technical problems, break them down, summarize multiple possible solutions, and help the team make progress Work with architects to understand bottlenecks in graphics cores and SoCs Analyze existing and emerging graphics/compute paradigms and algorithms Implement and run simulation models - i.e., both RTL and high-level simulation to estimate potential gains  Propose innovative solutions for PPA improvements Drive initiatives to improve RTG analysis tools Collaborate with engineers and managers on multiple sites.  PREFERRED EXPERIENCE: Experience spanning architecture, performance analysis and AI/ML/graphics/compute algorithmsExperience in Kernel development of LLMs using PyTorch, Triton, CUDA, HIP etc.Excellent C/C++/Scripting (Python, etc.) experience Knowledge of Graphics/Compute APIs (DirectX/Vulkan/CUDA/HIP etc.) Experience with AI/ML use cases and demonstrated ability to effectively leverage and collaborate with AI agents in modern engineering workflows Knowledge of GPU architecture and Compilers Experience in GFX profiling tools is a plus (PIX, RenderDoc, AMD tools, etc.)  ACADEMIC CREDENTIALS: Bachelor of Science, Masters or PhD degree with emphasis in Electrical Engineering, Computer architecture, or Computer Science is preferredLOCATION: Austin, TxThis role is not eligible for visa sponsorship.#LI-PA1 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.