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Lead Triton Compiler Eng.

Advanced Micro Devices, Inc
San Jose, CA Full Time
POSTED ON 8/21/2025
AVAILABLE BEFORE 8/19/2026


WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 

AMD together we advance_




THE ROLE: 

Triton (https://github.com/triton-lang/triton) is a language and compiler for writing highly efficient custom machine learning GPU kernels. 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 of strategic importance to AMD. We are fully commited to make it awesome. 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 



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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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