Senior GPU Kernel Optimization Engineer

ADVANCE YOUR CAREER. ADVANCE THE WORLD. 

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. 

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.

Responsibilities

1. Design, develop, and optimize high-performance AI operators and GPU kernels for training and inference workloads.
2. Analyze and improve kernel performance through profiling, memory optimization, kernel fusion, parallelization, and architecture-aware tuning.
3. Develop GPU kernels using CUDA, HIP, Triton, or similar programming frameworks.
4. Build AI-powered coding agents and automation workflows for kernel generation, optimization, benchmarking, and validation.
5. Collaborate with model and infrastructure teams to improve end-to-end AI system performance.

Requirements

1. Bachelor's degree or above in Computer Science, Computer Engineering, Artificial Intelligence, or a related field, with 4+ years of relevant experience.
2. Strong programming skills in C++ and/or Python.
3. Hands-on experience in GPU kernel development and optimization using CUDA, HIP, Triton, or similar frameworks.
4. Solid understanding of GPU architecture and performance optimization, including memory hierarchy, occupancy, register pressure, and shared memory.
5. Experience with performance profiling and optimization tools such as Nsight, rocprof, or equivalent.
6. Experience with AI operators such as GEMM, Attention, MoE, Embedding, or other performance-critical workloads.

Preferred Qualifications

1. Deep 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.
2. Experience building coding agents, code generation systems, or AI-assisted software engineering tools.
3. Experience with large-scale AI training or inference systems.

Nice-to-Have

1. Experience with LLM post-training, including SFT, RLHF, DPO, GRPO, or related techniques.
2. Publications or open-source contributions in GPU optimization, AI systems, or coding agents.

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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.