Senior Solutions Architect - CSP and CRISP System

NVIDIA
Beijing
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: mastersSkills: ["Analytical skills","Problem-solving","Communication"]

Provide end-to-end technical pre-sales support for CRISP customers as the primary technical expert between NVIDIA and clients in Beijing. Partner with sales to introduce NVIDIA technologies, own customer engagements, run private/public workshops, and guide customers to suitable solutions. Lead qualification through debugging, tuning, testing, POCs, integrations, and pilots, while sharing knowledge across teams and feeding customer feedback back to product and engineering.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior Solutions Architect - CSP and CRISP System

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Provide end-to-end technical pre-sales support for CRISP customers as the primary technical expert between NVIDIA and clients in Beijing. Partner with sales to introduce NVIDIA technologies, own customer engagements, run private/public workshops, and guide customers to suitable solutions. Lead qualification through debugging, tuning, testing, POCs, integrations, and pilots, while sharing knowledge across teams and feeding customer feedback back to product and engineering.
Location: Beijing
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Work with sales to introduce NVIDIA technologies and products to customers.
  • •Own customer engagements to promote products and capture feedback for product teams.
  • •Plan and deliver private or public workshops to explain NVIDIA offerings in detail.
  • •Perform qualification through debugging, tuning, testing, POCs, integration, and pilot activities.
  • •Build trusted relationships with customers and guide them to suitable solutions while sharing knowledge across teams.

Key Requirements

  • •BS/MS/PhD in Engineering, Mathematics, Physics, or Computer Science, or equivalent experience.
  • •5+ years of work 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 debugging performance issues.
  • •Good English communication skills and strong analytical/problem-solving abilities.
Experience:5+ yearsAIDeep learningDevOpsCloud softwareHigh-performance computing
Education:Master's in Engineering, Mathematics, Physics, Computer Science
Skills:Analytical skillsProblem-solvingCommunication
Languages:English
Tech Stack:AIDeep learningDevOpsCloud software developmentHigh-performance computingGPUAI acceleratorsLinuxLLMVLLMSGLangTRT-LLM

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor