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THE ROLE:
Triton is a widely adopted language and compiler for high-performance GPU kernels, powering major AI frameworks such as PyTorch, vLLM, and SGLang. As AI workloads increasingly scale across multiple GPUs and nodes, first-class support for distributed execution and communication in Triton is strategically critical to enabling efficient large-scale training and inference on AMD Instinct Accelerators. AMD GPUs are an official Triton backend, and delivering industry-leading distributed performance and scalability on AMD Instinct accelerators is a key priority. The performance, scalability, and usability of Triton directly impact the competitiveness of AMD hardware in large-scale AI deployments. In this role, you will advance the Triton compiler and runtime stack for AMD CDNA and next-generation GPU architectures by building native distributed execution and communication capabilities. You will develop compiler and runtime infrastructure that enables efficient inter-GPU communication, scalable execution, and optimal hardware utilization. You will work across compiler, runtime, and hardware layers, collaborating closely with GPU architecture and software teams to help establish AMD GPUs as a best-in-class platform for Triton-based distributed AI.
THE PERSON:
The ideal candidate has deep expertise in GPU architecture, compiler technologies, and distributed GPU systems, with proven experience optimizing workloads at multi-GPU scale. You are comfortable working across the full execution stack - from compiler and runtime to hardware - and understand how GPU execution, memory hierarchy, and inter-GPU communication impact performance. You have experience working close to the GPU runtime, communication stack, or compiler backend, and are motivated to build native distributed execution and communication capabilities tightly integrated with the compiler and runtime to maximize scalability and hardware utilization. You thrive on solving complex system-level performance challenges and delivering scalable, high-performance GPU infrastructure.
KEY RESPONSIBILITIES:
- Design and develop native distributed communication and execution capabilities within the Triton AMDGPU backend, enabling scalable multi-GPU execution for large-scale AI workloads
- Design and implement Triton compiler and runtime mechanisms for native GPU-initiated communication, including collective operations, remote memory access, synchronization, and distributed execution primitives
- Drive performance optimization across compute and communication, including inter-GPU data movement, communication/computation overlap, memory hierarchy utilization, and GPU-driven scheduling efficiency
- Develop and optimize distributed Triton kernels and execution models to achieve high performance, scalability, and efficient hardware utilization for AI workloads
- Analyze, profile and debug complex cross-stack issues spanning Triton compiler, runtime, ROCm stack, and GPU hardware execution
- Collaborate closely with GPU architecture, compiler, runtime, and performance teams to co-design and enable next-generation distributed GPU programming and execution capabilities
- Contribute to open-source Triton and ROCm distributed ecosystem, driving innovation in distributed GPU computing
PREFERRED EXPERIENCE:
- Deep experience in compiler development, GPU software, distributed systems, or performance engineering
- Familiarity or hands-on experience with Triton compiler and runtime
- Deep understanding of modern GPU architectures, including execution model, memory hierarchy (LDS, L2, HBM), scheduling, occupancy, and hardware performance characteristics
- Good understanding of GPU runtime systems, communication stacks, and multi-GPU interconnects such as XGMI, NVLink, PCIe, or InfiniBand and their performance implications
- Familiarity with distributed GPU communication libraries such as RCCL, NCCL, NVSHMEM, rocSHMEM, or MPI and similar technologies
- Experience developing, optimizing, and scaling workloads
... For full info follow application link.AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers. We consider candidates regardless of 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.