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
Skills Required
- BS/MS/PhD in Engineering, Mathematics, Physics, or Computer Science, or equivalent experience
- 5+ years of experience in deep learning/AI, AI system design, DevOps, cloud software development or high-performance computing
- Familiarity with GPU/AI accelerators and ecosystems
- Experience with Linux OS and performance issue debugging
- Good understanding of AI trends
- Strong analytical and problem-solving skills
- Good English communication skills
- AI application/frameworks/system development experience
- LLM/CTR experience
- vLLM/SGlang/TRT-LLM experience
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
