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Senior GPU Kernel Optimization Engineer

AMD · Beijing, Beijing, China

Full-time Posted 4 days ago

About this role

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

Responsibilities Design, develop, and optimize high-performance AI operators and GPU kernels for training and inference workloads. Analyze and improve kernel performance through profiling, memory optimization, kernel fusion, parallelization, and architecture-aware tuning. Develop GPU kernels using CUDA, HIP, Triton, or similar programming frameworks

Build AI-powered coding agents and automation workflows for kernel generation, optimization, benchmarking, and validation. Collaborate with model and infrastructure teams to improve end-to-end AI system performance. Requirements Bachelor's degree or above in Computer Science, Computer Engineering, Artificial Intelligence, or a related field, with 4+ years of relevant experience

Strong programming skills in C++ and/or Python. Hands-on experience in GPU kernel development and optimization using CUDA, HIP, Triton, or similar frameworks. Solid understanding of GPU architecture and performance optimization, including memory hierarchy, occupancy, register pressure, and shared memory

Experience with performance profiling and optimization tools such as Nsight, rocprof, or equivalent. Experience with AI operators such as GEMM, Attention, MoE, Embedding, or other performance-critical workloads. Preferred Quali

Apply for this role on AMD’s official careers site.

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