Senior Solutions Architect, CSP System

NVIDIA
Shenzhen, Beijing
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Technical communication","Presentation skills","Cross-functional collaboration","Mentoring","Independent ownership"]

Serve as the core technical pillar for NVIDIA’s Cloud Service Provider (CSP) team in China, driving CPU-related strategy, optimization, and customer engagement. Work with CSP R&D and infrastructure teams to design and integrate NVIDIA CPU-GPU-DPU platforms, lead CPU benchmarking and tuning, and deliver PoCs/workshops. Act as a liaison to NVIDIA’s global engineering and R&D groups, mentoring junior engineers and monitoring industry trends to improve CPU products for the Chinese market.

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FursaFursa
NVIDIA
NVIDIA
3 days ago

Senior Solutions Architect, CSP System

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Last checked: 4 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Serve as the core technical pillar for NVIDIA’s Cloud Service Provider (CSP) team in China, driving CPU-related strategy, optimization, and customer engagement. Work with CSP R&D and infrastructure teams to design and integrate NVIDIA CPU-GPU-DPU platforms, lead CPU benchmarking and tuning, and deliver PoCs/workshops. Act as a liaison to NVIDIA’s global engineering and R&D groups, mentoring junior engineers and monitoring industry trends to improve CPU products for the Chinese market.
Location: Shenzhen, Beijing
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Work with Sales, BD, and CPM to introduce NVIDIA technologies into assigned CSP accounts and grow business.
  • •Serve as primary technical authority for CPU technologies for NVIDIA’s Chinese CSP customers, advising on CPU selection, architecture design, and integration with NVIDIA AI infrastructure (Grace/Vera CPUs and NVL72 platforms).
  • •Lead CPU-focused technical engagements with CSP R&D/infrastructure/AI teams to understand workload requirements and design optimized CPU-GPU integrated solutions.
  • •Drive CPU performance optimization for CSP workloads by analyzing bottlenecks, applying tuning strategies (including SIMD and low-level intrinsics), and delivering reference implementations.
  • •Act as a liaison between CSP customers and NVIDIA global engineering/product/R&D teams, advocating customer CPU requirements, providing feedback on roadmaps, and ensuring alignment with NVIDIA’s technical strategy and export compliance guidelines.

Key Requirements

  • •7+ years of hands-on experience in CPU architecture, performance optimization, or data center infrastructure for HPC or AI workloads.
  • •Strong expertise in CPU microarchitecture (e.g., x86, ARM), performance analysis tools, and bottleneck-driven CPU benchmarking and tuning.
  • •Programming proficiency in C/C++ and/or Python, with experience in low-level software optimization, compiler toolchains, or performance libraries.
  • •Bachelor’s/Master’s/PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent industry experience).
  • •Proven experience working with major Chinese CSPs or global hyperscalers, with deep understanding of their infrastructure and workload characteristics.
Experience:AIHPCData centersCloud infrastructureCSPVirtualizationContainers
Education:Bachelor's in Computer Science, Computer Engineering, Electrical Engineering, or related field
Skills:Technical communicationPresentation skillsCross-functional collaborationMentoringIndependent ownership
Tech Stack:CC++PythonCPU architecturePerformance optimizationCPU microarchitectureX86ARMSIMDSIMD instruction setLow-level intrinsicsCompiler toolchainsLinux kernelVirtualizationKVMQEMUHypervisorsDevice passthroughSR-IOVVFIO

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
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