Senior Solutions Architect, GPU System
Nvidia · Beijing, China
About this role
Nvidia is hiring a senior-level Solutions Architect in the software engineering function based in Beijing, China. The posting calls out experience with Kubernetes, CUDA, LLMs, Linux.
- Role
- Solutions Architect
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Beijing, China
- Posted
- Apr 20, 2026
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Job description
from Nvidia careersNVIDIA is a world‑leading, fast‑growing AI computing company, delivering everything from the most powerful GPU‑accelerated supercomputers to gigawatt‑scale AI data centers. We build and optimize end‑to‑end GPU server platforms that combine accelerated computing, high‑performance networking, and software to power state‑of‑the‑art AI infrastructure. We believe in our people and products, and we are looking for outstanding talent to join us.
We are seeking server and GPU infrastructure experts to join our Solutions Architect team. We are looking for a hands‑on, deeply technical engineer with strong experience in GPU servers, AI clusters, and data center infrastructure to help customers design, deploy, and optimize NVIDIA‑based AI factories. As a Server & GPU‑focused Solutions Architect, you will work closely with customers, partners, and internal engineering teams to turn NVIDIA platforms into production‑grade AI systems at scale.
What you will be doing:
Lead presales and architecture engagements with AI industry customers, focusing on GPU servers, AI clusters, and large‑scale training/inference platforms built on NVIDIA HGX, GPU systems, and reference architectures.
Design and validate end‑to‑end AI data center solutions, including server platforms, storage connectivity, and high‑performance networking based on Spectrum, Quantum, ConnectX, and BlueField.
Define system architectures for AI supercomputing, LLM training, and inference workloads, including node configuration, GPU topology, PCIe/NVLink considerations, and network design.
This is an excerpt. Read the full job description on Nvidia careers →