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Senior Solutions Architect, CSP System

NVIDIA· Architect, Solutions
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Shenzhen, BeijingFull-timePosted 1mo ago

About the role

Senior CPU Expert focusing on Cloud Service Providers (CSPs) in China, responsible for CPU-centric technical strategy, solution optimization, and customer engagement within NVIDIA’s CSP team. Drive CPU-related engagements with Chinese CSPs, optimize CPU-GPU-DPU platforms, and ensure performance of customer workloads.

Responsibilities

  • Work with Sales, BD and CPM team to introduce NVIDIA technologies into assigned accounts and grow business accordingly.
  • Serve as the primary technical authority on CPU technologies for NVIDIA’s Chinese CSP customers, advising on CPU selection, architecture design, and integration with NVIDIA’s AI infrastructure (Grace/Vera CPUs and NVL72 platforms).
  • Lead CPU-focused technical engagements with CSPs, collaborating with their R&D, infrastructure, and AI teams to understand workload requirements and design optimized CPU-GPU integrated solutions.
  • Drive CPU performance optimization for CSP workloads, analyze bottlenecks, implement tuning strategies (including SIMD optimization and low-level intrinsics), and deliver reference implementations.
  • Act as liaison between CSP customers and NVIDIA’s global engineering, product, and R&D teams, advocating for customer requirements and aligning with roadmaps and export compliance.
  • Lead technical workshops, training sessions, and PoC projects for CSPs to demonstrate CPU-integrated solutions.
  • Monitor industry trends in CPU tech and data center architectures, providing strategic insights to improve NVIDIA’s CPU-related offerings for China.
  • Mentor junior team members and promote best practices in CSP technical engagement and delivery.

Qualifications

  • Bachelor’s/Master’s/PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field; equivalent industry experience considered.
  • 7+ years in CPU architecture, performance optimization, or data center infrastructure with HPC or AI workload focus.
  • Deep expertise in CPU microarchitecture (x86, ARM), performance analysis tools, and optimization methodologies; track record in CPU benchmarking and bottleneck-driven tuning.
  • Strong programming in C/C++ and/or Python; experience in low-level optimization, compiler toolchains, or performance libraries.
  • Experience with major Chinese CSPs or global hyperscalers; understanding of their technical requirements and workloads.
  • Excellent technical communication and presentation skills for technical and non-technical stakeholders.
  • Strong cross-functional collaboration skills in a matrixed global team; ability to manage multiple priorities.
  • Familiarity with NVIDIA’s data center products (GPUs, DPUs, CPUs) and software stacks is a plus; understanding AI factory concepts and large-scale deployment preferred; hands-on ability mandatory.

Skills

Required:CPU architecture and performance optimizationProgramming (C/C++ and/or Python)Technical communication

Benefits

  • Competitive salaries
  • Generous benefits package
Last updated Aug 28, 2026. Interested? Apply on the company site.

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