Senior Solutions Architect - CRISP System at NVIDIA

Beijing, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

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
AI application/frameworks/system development experience
LLM/CTR experience is helpful
vLLM/SGlang/TRT-LLM experience

Responsibilities

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
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

Skills

Key technologies and capabilities for this role

Deep LearningAIAI System DesignDevOpsCloud Software DevelopmentHigh-Performance ComputingGPUAI AcceleratorsLinuxPerformance DebuggingLLMvLLMSGlangTRT-LLM

Questions & Answers

Common questions about this position

What is the location for this Senior Solutions Architect role?

The position is based in Beijing.

What education and experience are required for this position?

A BS/MS/PhD in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience) and 5+ years of work-related experience in deep learning/AI, AI system design, DevOps, cloud software development, or high-performance computing are required.

What key skills are needed for this role?

Candidates need familiarity with GPU/AI accelerators and ecosystems, experience in Linux OS and performance issue debugging, good understanding of AI trends, strong analytical and problem-solving skills, and good English communication skills.

What experience will help me stand out for this position?

AI application/frameworks/system development experience, and experience with LLM/CTR, vLLM/SGlang/TRT-LLM are ways to stand out.

What is the salary or compensation for this role?

This information is not specified in the job description.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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