Principal Software Development Eng AI

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.

AMD is looking for a Principal Engineer to serve as a hands‑on technical team lead driving the performance and scalability of frontier AI workloads on AMD GPUs, including large language models, mixture‑of‑experts architectures, and diffusion models. You will lead a team of engineers, define the long‑term technical vision, make critical architecture decisions, and tackle the hardest performance challenges across the stack from GPU kernels and to serving frameworks and distributed systems.

The ideal candidate is a deep technical expert with a track record of solving industry‑hard problems at the intersection of GPU architecture, AI systems, and high‑performance software. You understand the full stack from hardware micro‑architecture to model architecture, inference paradigms, and system‑level design. You lead through technical depth, influence, and by example, staying hands‑on while setting direction for your team. If you want to shape how the world runs AI on AMD hardware, this role is for you.

• Lead a small team of engineers: set technical direction, prioritize work, and ensure delivery while remaining deeply hands‑on
• Define and drive the long‑term technical strategy for AI workload performance on AMD GPUs
• Own the most complex cross‑stack performance challenges, from kernel optimization to framework‑level architecture decisions
• Lead the design and implementation of novel GPU kernels, compiler optimizations, and framework features
• Establish performance methodology and roofline analysis practices that set the standard for the team
• Influence upstream roadmaps in major open‑source AI frameworks (e.g., vLLM, SGLang, PyTorch)
• Drive architecture decisions for emerging inference paradigms (e.g., prefill‑decode disaggregation, speculative decoding, distributed serving)
• Identify and close fundamental performance gaps between AMD and competitor platforms
• Serve as a technical authority across the organization, advising leadership on technical direction and feasibility
• Mentor engineers and raise the technical bar across the broader engineering organization
• Represent AMD externally through publications, conference talks, and open‑source contributions

• 10+ years of software development experience in GPU computing, HPC, or AI systems
• Deep understanding of GPU micro‑architecture, memory hierarchy, instruction scheduling, and performance tradeoffs
• Deep understanding of end‑to‑end AI systems: model architectures, inference paradigms, and system/rack‑level design
• Understanding of multi‑GPU communication: scale‑up (NVLink, xGMI, Infinity Fabric) and scale‑out (RDMA, RCCL/NCCL) topologies and performance characteristics
• Experience designing and optimizing across the full stack: from low‑level GPU kernels to frameworks and distributed serving systems
• Strong background in performance engineering, including profiling, roofline analysis, and bottleneck diagnosis at scale
• Experience with one or more of: HIP, CUDA, OpenCL, Triton/Gluon, CUTLASS, CK
• Experience with GPU compiler tool chains (e.g., LLVM) and intermediate representations (e.g., MLIR, LLVM IR, Triton IR) is a plus
• Hands‑on experience contributing to or architecting major open‑source AI frameworks (e.g., vLLM, SGLang, xDiT, Megatron LM, PyTorch)
• Strong proficiency in C++ (C++17 or later) and Python
• Experience leading small technical teams while remaining a hands‑on contributor
• Track record of influencing…