Senior AI GPU Compiler Expert

2 days ago

Austin, Texas, United States AMD Full time
Transform Lives with AMD Technology

We are passionate about leveraging AMD technology to enrich our industry, our communities, and the world. Our mission is to create innovative products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming, and embedded. At AMD, we push the limits of innovation to solve the world's most important challenges.

The Role

In this exciting opportunity, you will be immersed in the world of open-source AI compiler and runtime stack. Your responsibilities will encompass gaining a comprehensive understanding of compiling Machine Learning networks specifically tailored for AMD graphics cards. This hands-on experience will involve delving into the fundamentals of GPU hardware capabilities, actively engaging with MLIR dialects, execution models, and code generation. As part of your role, you will have the chance to contribute to the development of various components within a sophisticated software tool chain, all crafted in C++.

Key Responsibilities
  • Implement and optimize GPU kernels using cutting-edge compiler technology.
  • Conduct benchmarking on prevalent AI model workloads, including tasks in vision, speech recognition, language processing, and generative models.
  • Collaborate with AMD's architecture specialists to enhance future products.
  • Stay abreast of software and hardware trends and innovations, particularly in algorithms and architecture, ensuring the integration of the latest advancements into our projects.
  • Participate in new GPU bring-ups for AI software.
  • Debug and resolve existing issues and research alternative, more efficient ways to accomplish the same work.
Key Qualifications
  • Strong object-oriented programming background, C/C++ preferred.
  • Proficient in crafting high-performance GPU kernels.
  • Prior experience with compilers, dataflow graphs.
  • Familiarity with modern source control systems such as GitHub.
  • Excellent verbal communication and writing skills.
What Makes You Stand Out
  • Proven expertise in optimizing high-performance GPU kernels.
  • Prior hands-on experience using AI accelerators.
  • Contributions in LLVM or MLIR projects.
  • Previous exposure to machine learning models.
  • A collaborative team player with experience working in geographically dispersed teams.
Academic Credentials
  • Advanced degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.

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