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Deep Learning Solution Architect - Agentic Performance
NVIDIA
China, Beijing +1 more · On-site · relocationSalary not disclosedfull-timeNVIDIA Careers (offices abroad)
NVIDIA are seeking dynamic Solution Architects with specialized expertise in training 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.
Responsibilities
- Collaborate with customers to understand their LLM-related business challenges and design tailored solutions aligned with the NVIDIA ecosystem.
- Lead LLM training, distributed optimization, and performance tuning to achieve optimal throughput, latency, and memory efficiency.
- Design and integrate RAG workflows and agentic inference pipelines into customer systems; provide technical guidance on best practices.
- Collaborate with NVIDIA engineering teams to provide feedback and support pre-sales technical activities (workshops, demos).
Languages
- Work format
- On-site
- Seniority
- Senior
- Posted
- 27 Aug 2026
- Last verified
- In the last 5 days
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