AMDSenior GPU Kernel Optimization Engineer

任职要求

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, …

工作职责

ResponsibilitiesDesign, 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.RequirementsBachelor'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 QualificationsDeep experience in GPU kernel optimization, including kernel fusion, memory optimization, communication/computation overlap, performance modeling, or optimization of AI operators such as GEMM, Attention, MoE, and Embedding.Experience building coding agents, code generation systems, or AI-assisted software engineering tools.Experience with large-scale AI training or inference systems.Nice-to-Have
Experience with LLM post-training, including SFT, RLHF, DPO, GRPO, or related techniques.Publications or open-source contributions in GPU optimization, AI systems, or coding agents. 
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