
Real job — pulled straight from AMD’s careers page · Verified August 8, 2026 · No reposts.
Job description
AMD is hiring a Software Engineer, AI Triton Kernels — a full-time, based in San Jose, CA role ($127k–$182k). Apply directly on AMD's careers page below.
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:
THE PERSON:
KEY RESPONSIBILITIES:
- Design, research, implement, and rigorously optimize high-performance matmul, attention (flash, paged, grouped-query), MoE, and fully fused transformer kernels using Triton, targeting large-scale LLM and multimodal workloads
- Own and productionize critical Triton/Gluon kernels within vLLM and SGL (e.g., paged attention, extend attention, MoE, quantized kernels, etc), ensuring correctness, scalability, and peak throughput
- Partner closely with compiler engineers to develop and maintain the Triton AMD backend across ROCm and the LLVM AMDGPU stack, targeting CDNA and next-generation architectures
- Drive deep kernel-level optimizations across the AMD memory hierarchy (LDS, L2, HBM), wavefront execution (wave32/wave64), vectorization, MFMA utilization, occupancy tuning, and instruction scheduling to maximize hardware efficiency
- Perform rigorous profiling and microbenchmarking led optimization on AMD Instinct GPUs using hardware counters and tracing tools; root-cause bottlenecks in memory bandwidth, latency hiding, synchronization, and register pressure
- Debug and resolve performance and correctness issues end-to-end across PyTorch, vLLM/SGL runtimes, Triton IR/MLIR, ROCm runtime, and the LLVM AMDGPU backend
- Contribute to open-source Triton, LLVM, and ROCm ecosystems
PREFERRED EXPERIENCE:
- Deep experience in GPU kernel development, compiler backends, or performance engineering focused on AI/ML workloads
- Strong hands-on expertise with Triton, including writing custom matmul, attention, and fused transformer kernels and understanding Triton IR lowering to GPU backends
- Deep understanding of modern GPU architectures (wavefront execution, memory hierarchy, scheduling, occupancy)
- Meaningful contributions to open-source projects such as Triton, Torch, vLLM, SGLang, IREE, MLIR, LLVM, or ROCm, with a strong collaborative and upstream-first engineering mindset
PREFERRED ACADEMIC CREDENTIALS:
This role is not eligible for visa sponsorship.
#LI-G11
#LI-HYBRID
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.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
THE ROLE:
THE PERSON:
KEY RESPONSIBILITIES:
- Design, research, implement, and rigorously optimize high-performance matmul, attention (flash, paged, grouped-query), MoE, and fully fused transformer kernels using Triton, targeting large-scale LLM and multimodal workloads
- Own and productionize critical Triton/Gluon kernels within vLLM and SGL (e.g., paged attention, extend attention, MoE, quantized kernels, etc), ensuring correctness, scalability, and peak throughput
- Partner closely with compiler engineers to develop and maintain the Triton AMD backend across ROCm and the LLVM AMDGPU stack, targeting CDNA and next-generation architectures
- Drive deep kernel-level optimizations across the AMD memory hierarchy (LDS, L2, HBM), wavefront execution (wave32/wave64), vectorization, MFMA utilization, occupancy tuning, and instruction scheduling to maximize hardware efficiency
- Perform rigorous profiling and microbenchmarking led optimization on AMD Instinct GPUs using hardware counters and tracing tools; root-cause bottlenecks in memory bandwidth, latency hiding, synchronization, and register pressure
- Debug and resolve performance and correctness issues end-to-end across PyTorch, vLLM/SGL runtimes, Triton IR/MLIR, ROCm runtime, and the LLVM AMDGPU backend
- Contribute to open-source Triton, LLVM, and ROCm ecosystems
PREFERRED EXPERIENCE:
- Deep experience in GPU kernel development, compiler backends, or performance engineering focused on AI/ML workloads
- Strong hands-on expertise with Triton, including writing custom matmul, attention, and fused transformer kernels and understanding Triton IR lowering to GPU backends
- Deep understanding of modern GPU architectures (wavefront execution, memory hierarchy, scheduling, occupancy)
- Meaningful contributions to open-source projects such as Triton, Torch, vLLM, SGLang, IREE, MLIR, LLVM, or ROCm, with a strong collaborative and upstream-first engineering mindset
PREFERRED ACADEMIC CREDENTIALS:
This role is not eligible for visa sponsorship.
#LI-G11
#LI-HYBRID
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.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
Tags: No, USD $127,400.00/Yr., USD $182,000.00/Yr., US Careers (External)
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Frequently asked questions
What is the salary for Software Engineer, AI Triton Kernels at AMD?
The estimated salary range for Software Engineer, AI Triton Kernels at AMD is $127,000 - $182,000 USD per year.
What skills are required for Software Engineer, AI Triton Kernels at AMD?
The required skills for Software Engineer, AI Triton Kernels at AMD include: AI, Machine Learning, PyTorch.
What is the seniority level for Software Engineer, AI Triton Kernels at AMD?
Software Engineer, AI Triton Kernels at AMD is a Senior level position.
How do I apply for Software Engineer, AI Triton Kernels at AMD?
You can view the full description and apply for Software Engineer, AI Triton Kernels at AMD on EchoJobs: https://echojobs.io/job/amd-sr-software-engineer-ai-triton-kernels-dx5jc.