Solution Architect - AI Labs

NVIDIA is hiring a Solution Architect - AI Labs in Beijing, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this solutions architect role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions CUDA, Tensorrt LLM and Nemo among its tools and skills.
Level classes it as a senior role.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

Design, optimize, and deliver production-grade generative AI and LLM solutions for enterprise customers as a Solution Architect.

CUDATensorrt LLMNemoPythonC

ragcomputer-visionnlpllmmachine-learningsolution-architecturedeep-learninggenerative-ai

NVIDIA are seeking Solution Architects with specialized expertise in training and deploying Large Language Models (LLMs), implementing RAG workflows, and agentic inference. You will leverage the full NVIDIA software & hardware ecosystem to design, optimize, and deliver production-grade generative AI solutions for enterprise customers. With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.

What You’ll Be Doing:

Conduct in-depth analysis of customers' latest needs and co-develop accelerated computing solutions with key customers.
Assist in supporting industry accounts and driving research/influencing/new business in those accounts.
Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team.
Understand and analyze Top AI Labs customers' workloads and demands for accelerated computing, including but not limited to: LLM training/inference acceleration and optimization, application optimization for Agent AI/RAG, kernel analysis, etc.
Assist Top AI Laps customers in onboarding NVIDIA's software and hardware products and solutions, including but not limited to: CUDA, TensorRT-LLM, NeMo Framework, etc.
Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Robotics, Signal Processing and other key applications.
Be an internal champion for Data Analytics, Machine Learning, and Cyber among the NVIDIA technical community.

What We Need To See:

3+ years’ experience with research/development/application of Machine Learning, data analytics, or computer vision work flows.
Outstanding verbal and written communication skills. Ability to work independently with minimal day-to-day direction
Knowledge of industry application hotspots and trends in AI and large models.
Familiarity with large model-related technology stacks and common inference/training optimization methods.C/C++/Python programming experience
Desire to be involved in multiple diverse and innovative projects
Experience using scale-out cloud and/or HPC architectures for parallel programming
MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, Neuroscience, Experimental Psychology or equivalent experience.

Ways To Stand Out From The Crowd:

AIGC/LLM/NLP experience
CUDA optimization experience.
Experience with Deep Learning frameworks and tools.
Engineering experience in areas such as model acceleration and kernel optimization.
Extensive experience designing and deploying large scale HPC and enterprise computing systems.

How we rate this

Solution Architect - AI Labs at NVIDIA rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Solution Architect - AI Labs is an open job at NVIDIA.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in China, Beijing.
The job was posted on August 27, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGComputer visionNLPLLMMachine learningSolution ArchitectureDeep learningGenerative AI

Also common in solutions architect jobs at this level

AWS Azure Google Cloud SQL AI agents Kubernetes

Pay

Typical solutions architect job: $169k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a project where llm was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: RAG, Computer vision, NLP, LLM, and Machine learning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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