Triton Compiler and Kernel Software Engineer

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THE ROLE:

We are seeking a Senior Triton Compiler and Kernel Engineer to advance Triton performance and capabilities on AMD GPUs.Triton is an open-source language and compiler for developing high-performance GPU kernels in Python. It is a critical layer in the AI software stack, connecting frameworks and workloads to GPU hardware. Triton is strategic to AMD’s AI roadmap, and AMD is investing fully in making it a first-class platform for current and future AMD GPUs.You

will work across GPU architecture, compilers, kernels, multi-GPU communication, and AI frameworks while contributing to upstream Triton and AMD’s ROCm software stack.

THE PERSON:
The ideal candidate has strong experience in several of the following areas:

GPU architecture and programming

Compiler development and optimization

High-performance GPU kernels

Multi-GPU communication and collective operations

Distributed AI training and inference AI workload and framework performance

Low-level performance analysis

You can reason across the stack—from distributed AI algorithms and Triton programs to compiler transformations, communication libraries, generated instructions, and GPU hardware.

KEY RESPONSIBILITIES:

Develop and optimize Triton compiler support for AMD GPUs.Improve compiler lowering, optimization, scheduling, and code generation.

Create high-performance kernels for attention, GEMM, MoE, and other AI workloads.

Develop and optimize multi-GPU kernels and communication primitives.

Enable new AMD GPU and interconnect capabilities through effective Triton abstractions.

Analyze compute, memory, communication, occupancy, register usage, and generated code.

Resolve complex correctness and performance issues across single- and multi-GPU workloads.

Collaborate with GPU architecture, ROCm, PyTorch, and AI framework teams.

Contribute designs and implementations to upstream Triton and LLVM/MLIR.Provide technical leadership, code reviews, and mentoring.

PREFERRED EXPERIENCE:

Experience with AMD GPU architecture and ROCm is highly desirable.

Experience optimizing kernels with Triton, HIP, CUDA, or GPU assembly.

Experience with Triton, LLVM, MLIR, or another optimizing compiler.

Knowledge of GPU execution models, memory hierarchies, synchronization, and instruction pipelines.

Experience with collective communication, distributed programming, and libraries such as RCCL or NCCL.Understanding of communication topologies, interconnects, synchronization, and communication–computation overlap.

Familiarity with distributed training, inference, tensor parallelism, expert parallelism, or pipeline parallelism.

Experience using AI coding tools and autonomous agents to accelerate software development, debugging, benchmarking, and kernel performance tuning.

Familiarity with AI primitives, reduced-precision formats, and performance profiling.

Contributions to complex or open-source software projects.

Strong analytical, debugging, communication, and collaboration skills.

ACADEMIC CREDENTIALS:
Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent This role is not eligible for visa sponsorship.#LI-G11

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