Solutions Consultant engaging with legal teams to drive adoption of Litera's practice - of - law tools. Building relationships and collaborating on product success plans while offering strategic insights.
About the role
- Senior CPU Expert focusing on Cloud Service Providers in China. Driving technical strategy and customer engagement for CPU-centric needs in AI data centers.
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.
- 8+ 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.
- Hands-on ability is mandatory.
Benefits
- Competitive salaries
- Generous benefits package
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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