Senior Deep Learning Solution Architect
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 Machine Learning, LLMs, Data Structures, Performance Optimization.
- 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 leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers, focusing on defining and solving computational challenges in LLM inference and training acceleration, as well as network communication and data transfer optimization.
What You'll Be Doing:
Contribute to the development of open-source inference frameworks such as SGLang and vLLM, including feature and operator development, performance optimization, and model support, in collaboration with the community.
Develop and optimize KV cache offloading frameworks for LLM workloads, supporting multi-level cache offloading and reuse across CPU, SSD, and remote storage to improve inference efficiency. (Team project: FlexKV)
Drive R&D on compute performance in distributed training, and explore methods and technologies for performance optimization.
Study computational challenges in machine learning systems, identify common needs and bottlenecks, and build example code, acceleration libraries, or frameworks accordingly.
What We Need to See:
Over 5 years working experience in the technology industry, with master’s degree or above in computer science, mathematics, electrical engineering, automation, or related fields.
This is an excerpt. Read the full job description on Nvidia careers →