Advanced Micro Devices, Inc.-posted 25 days ago
Full-time • Mid Level
Hybrid • Santa Clara, CA
5,001-10,000 employees
Computer and Electronic Product Manufacturing

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: We are looking for a GPU Machine Learning Architect to join GPU architecture team developing Deep Learning Architecture and GPU kernels for architecture exploration, development and performance verification THE PERSON: The successful person will be an experienced GPU-compute or graphics hardware developer and programmer with an eye towards hardware/software-aware performance implementations and optimizations. You are a team player who has excellent communication skills and experience collaborating with other engineers located in different sites/time zones. You have strong analytical and problem-solving skills and are willing to learn and ready to take on problems. Good teamwork and interpersonal skills required. Ability to work independently and within complementary teams. Demonstrate flexibility, strong motivation and a proven track record of meeting results-oriented deadlines.

  • They will play a key role in all phases of GPU architecture development including architecture feature development and analysis, performance projection, and performance analysis across different platforms.
  • The ideal candidate will be responsible for writing high performance GPU kernels for Machine Learning applications to run on AMD's next generation GPU.
  • They will be porting and optimizing algorithms for new GPU architecture, perform code reviews, authoring detailed documentation related to their work.
  • Strong programming skills in C/C++, HIP, and CUDA
  • Extensive experience with machine learning
  • Experience with GPU ML runtimes and compilers
  • Experience using version control software such as Git
  • Strong understanding of GPU architecture
  • Knowledge of Parallel-Computing, GPUs, and 3D graphics
  • Familiarity with deep neural network machine learning technologies and modern machine learning programming frameworks
  • PhD in computer architecture/Electrical Engineering preferred.
  • Benefits offered are described: AMD benefits at a glance.
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