Principal AI Inference Systems Engineer

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

THE ROLE: As a Principal AI Infrastructure Solution Engineer, you will partner with AMD’s AI software teams and customers to enable large‑scale LLM training and inference on AMD Instinct GPUs. You will design and validate production‑ready Kubernetes architectures and translate inference frameworks such as vLLM and SGLang into deployable customer solutions. Your work will accelerate customer time‑to‑production and strengthen AMD’s leadership in AI infrastructure

THE PERSON: You are a solution‑oriented AI infrastructure engineer with strong expertise in GPU‑accelerated computing and large‑scale AI deployments. You excel at translating complex technologies into customer‑ready solutions and delivering production‑grade Kubernetes‑based inference and training systems. You bring hands‑on experience with Kubernetes‑native distributed training, including scheduling, topology‑aware GPU placement, and operating resilient, high‑performance AI workloads at scale

KEY RESPONSBILITIES: Design and deliver reference architectures for LLM training and inference on AMD GPUs, from single‑node to multi‑datacenter deployments using Kubernetes and SLURM. Architect and validate Kubernetes‑based distributed training stacks for large‑scale LLM workloads on AMD GPUs. Define

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