Senior Solutions Architect, CSP System

As a Senior CPU Expert focusing on Cloud Service Providers (CSPs) in China, you will be a core technical pillar in NVIDIA’s CSP team, responsible for driving CPU-related technical strategy, solution optimization, and customer engagement.

You will work closely with major Chinese CSPs to address their CPU-centric needs in AI data centers, accelerate the deployment of NVIDIA’s integrated CPU-GPU-DPU platforms, and ensure optimal 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, providing expert consultation on CPU selection, architecture design, and integration with NVIDIA’s AI infrastructure (including 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 (e.g., AI data preprocessing, HPC, distributed computing) and design optimized CPU-GPU integrated solutions.
• Drive CPU performance optimization for CSP workloads, conducting in-depth analysis of bottlenecks, implementing tuning strategies (including SIMD instruction set optimization and low-level intrinsics), and delivering reference implementations to unlock full platform potential.
• Act as a liaison between CSP customers and NVIDIA’s global engineering, product, and R&D teams, advocating for customer-specific CPU requirements, providing feedback on product roadmaps, and ensuring alignment with NVIDIA’s technical strategy and export compliance guidelines.
• Lead technical workshops, training sessions, and proof-of-concept (PoC) projects for CSPs, demonstrating the value of NVIDIA’s CPU-integrated solutions and enabling customer teams to effectively leverage these technologies.
• Monitor industry trends in CPU technology, data center architectures, and CSP workload evolution, providing strategic insights to internal teams to enhance NVIDIA’s CPU-related products and solutions for the Chinese market.
• Mentor junior technical team members, share CPU expertise, and drive best practices in CSP technical engagement and solution delivery.

Requirements:

• Bachelor’s/Master’s/PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field; equivalent industry experience will be considered.
• 7+ years of hands-on experience in CPU architecture, performance optimization, or data center infrastructure, with a focus on high-performance computing (HPC) or AI workloads.
• Deep expertise in CPU microarchitecture (e.g., x86, ARM), performance analysis tools, and optimization methodologies; proven track record of CPU benchmarking and bottleneck-driven tuning.
• Strong programming proficiency in C/C++ and/or Python, with experience in low-level software optimization, compiler toolchains, or performance libraries.
• Proven experience working with major Chinese CSPs or global hyperscalers, with a deep understanding of their technical requirements, infrastructure, and workload characteristics.
• Excellent technical communication and presentation skills, with the ability to convey complex CPU and system-level concepts to both technical and non-technical stakeholders (customers, executives, internal teams).
• Strong cross-functional collaboration skills, with the ability to work effectively in a matrixed global team and manage multiple priorities in a fast-paced environment.
• Familiarity with NVIDIA’s data center products (GPUs, DPUs, CPUs) and software stacks is a significant plus; understanding of AI factory concepts and large-scale data center deployment is preferred.

Benefits:

• Competitive salaries
• Generous benefits package