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Solution Architect - AI Labs

NVIDIA· Architect, Solutions
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Beijingfull-timePosted 1mo ago

About the role

Solution Architect focused on training and deploying LLMs, RAG workflows, and agentic inference within NVIDIA’s AI Labs. Responsible for designing, optimizing, and delivering production-grade generative AI solutions for enterprise customers, leveraging NVIDIA software/hardware stack.

Responsibilities

  • 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 LLM training/inference acceleration and optimization, application optimization for Agent AI/RAG, kernel analysis, etc.
  • Assist Top AI Labs 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.

Qualifications

  • 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.

Skills

Required:Machine Learning / Data Analytics workflowsLarge language models (LLMs)C/C++/Python
Nice to have:Agent AI / RAG workflowsCUDA optimizationDeep Learning frameworks/tools

Benefits

  • competitive salaries
  • generous benefits package
Last updated Aug 28, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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