Triton compiler/kernel development Development Engineer

4 days ago

Shanghai, Shanghai, China AMD Full time CN¥80,000 - CN¥120,000 per year

WHAT YOU DO AT AMD CHANGES EVERYTHING
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
Triton is a language and compiler for writing highly efficient custom deep learning primitives. It's widely adopted in open AI software stack projects like PyTorch, vLLM, SGLang, and many others. AMD GPU is an official backend in Triton and we are fully committed to it. If you are interested in making GPUs running fast via developing the Triton compiler and kernels, please come join us

The Person
An ideal candidate should be familiar with compilers, GPU architectures, parallel programming, and/or high-performance kernels. He/she should be comfortable at performing quantitative analysis of workload and drive improvements across different compiler layers. Most importantly, the candidate is willing to learn and work across boundaries.

Key Responsibilities

  • Develop and maintain Triton compiler's AMD backend
  • Improve various compilation patterns and passes in Triton
  • Research and author high performance matmul and attention kernels in Triton
  • Profile kernel performance on AMD GPUs and improve bottlenecks
  • Fix issues in AMDGPU backend in LLVM

Preferred Experience

  • Familiarity or existing experience with Triton is a strong plus
  • Familiarity with compiler projects like MLIR, LLVM, IREE
  • Deep understanding of GPU architectures and programming models
  • Deep experience with writing high performance GPU kernels and GPU performance tuning
  • Experience debugging cross-stack issues and reducing user problems to actionable execution
  • Open-source development ethos

Preferred Academic Credentials

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

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.

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