Deep Learning Solution Architect
Nvidia · Beijing, China
About this role
Nvidia is hiring a mid-level Solutions Architect in the software engineering function based in Beijing, China. The posting calls out experience with CUDA, PyTorch, LLMs, NLP.
- Role
- Solutions Architect
- Function
- software engineering
- Level
- mid
- 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. You will work closely with industry sales, developer relationship managers and product teams in the hiring position.
What you’ll be doing:
Drive research, development, and optimization of Reinforcement Learning algorithms and infrastructure for Large Language Models and multimodal models.
Collaborate with internal research and engineering teams to adapt and validate state-of-the-art RL methods on NVIDIA GPU platforms at scale.
Improve Reinforcement Learning initiatives and engagements with customers, providing technical guidance on integrating NVIDIA RL technologies into their AI workflows.
Develop and maintain reusable toolchains, experiment management workflows, and technical documentation to accelerate both internal and customer-facing projects.
What we need to see:
MS or PhD in Computer Science, Artificial Intelligence, Mathematics, or related fields, with solid foundations in algorithms and programming.
5+ years of experience (including research) in Reinforcement Learning, Large Language Model training, or multimodal learning.
Proficient in PyTorch and familiar with RL training frameworks and workflows.
This is an excerpt. Read the full job description on Nvidia careers →