Senior Solutions Architect - CSP and CRISP System
NVIDIA · Beijing, Beijing, China
Computer Hardware Manufacturing · 10,001+ employees
About the role
Provide comprehensive technical pre-sales support and drive end-to-end hardware and software solutions for strategic CRISP customers. Act as the primary technical expert to promote NVIDIA technologies and provide feedback to product teams.
What they look for
Requirements
Requires a degree in Engineering, Math, Physics, or Computer Science with over 5 years of experience in AI, deep learning, or HPC. Candidates must be familiar with GPU ecosystems, Linux debugging, and current AI trends.
Full description
NVIDIA is looking for Senior Solutions Architect in Beijing. This position is mainly responsible for providing comprehensive technical pre-sales support to CRISP customers. We are dedicated to the most cutting-edge computing hardware and software, leading the latest breakthroughs in the field of artificial intelligence. As a member of the NVIDIA Solutions Architecture team, you will be the primary technical expert between NVIDIA and our customers. Drive end-to-end technical solutions for NVIDIA's most strategic customers with both hardware and software solutions, while providing professional suggestions to business and engineering teams based on product strategy.
What you'll be doing:
- Work with sales to introduce NVIDIA technologies and products.
- Account owner to promote products to customers, and bring feedback to product team.
- Private or public workshops to illustrate and output NVIDIA’s offerings in details.
- Debugging, tuning, testing during qualification, POC, integration and pilot.
- Build good relationship with all levels of customers and become a trusted advisor.
- Discover opportunities and guide customers to suitable solution.
- Share knowledge across teams.
What we need to see:
- BS/MS/PhD in Engineering, Mathematics, Physics, or Computer Science, or equivalent experience
- 5+ years of work-related experience in deep learning/AI, AI system design, DevOps, cloud software development or high-performance computing.
- Familiar with GPU/AI accelerators and ecosystems.
- Experience in Linux OS and performance issue debugging.
- Good understanding of the AI trends.
- Strong analytical and problem-solving skills.
- Good English communication skills.
Ways to stand out from the crowd:
- AI application/frameworks/system development experience
- LLM/CTR experience is helpful
- vLLM/SGlang/TRT-LLM experience
