Data Analytics CPU Workload Performance Product Manager

We're building a new generation of data center CPUs at NVIDIA — Vera, Grace, and future designs purpose-built for accelerated computing and the workloads defining infrastructure. Data analytics is one of the highest-value arenas for CPU performance, and we need someone to own NVIDIA's strategy and value proposition there! This role sits at the nexus of go-to-market, software architecture, platform architecture, performance measurement, and competitive positioning — making it a true workload strategy role, not a benchmark-running one. From TPC-H and TPC-DS methodologies to collaborative solutions with the world's leading database and analytics vendors, the scope is broad and the impact is real. We're looking for a product manager who deeply understands how CPUs win in practice and can turn that insight into roadmap decisions, customer proof points, and field-ready positioning.

• →Taking responsibility for the workload and market approach for data analytics and data processing on NVIDIA data center CPUs — identifying priority workloads, customer scenarios, and the benchmarks and proof points that should guide the roadmap.
• →Leading the complete lifecycle of benchmarks like TPC-H and TPC-DS: methodology, cluster and benchmarking architecture, competitive analysis, and market positioning.
• →Translating disk, cache, memory, I/O, clustering, availability, and software behavior into concrete CPU, platform, and system requirements. Then advising architecture and platform teams on what to build and why.
• →Building the quantitative value proposition across performance, infrastructure, software licensing, power, and TCO to position NVIDIA CPUs against challenging architectures.
• →Working alongside external ISVs, database and analytics vendors, cloud providers, and strategic customers to verify requirements and build joint solutions and go-to-market approaches.
• →Redefining benchmark results and customer evidence into product decisions, competitive reactions, customer proof points, and field enablement materials.

• 12+ years of experience in technical product management, performance engineering, or a closely related area.
• BS or MS in Computer Science, Electrical or Computer Engineering — or equivalent experience.
• Comprehensive, practical knowledge of CPU and database performance.
• Understanding of system hardware characteristics that influence analytics performance — caching and clustering methods, high availability, memory and I/O sensitivity, and architectural trade-offs.
• Ability to influence platform and architecture teams by translating workload performance into product, platform, and feature requirements.
• Experience collaborating with external ISVs, silicon vendors, or the broader analytics ecosystem.

• Hands-on experience with TPC-H, TPC-DS, or comparable data analytics benchmarks, including methodology development and measurement.
• Understanding of the disk, cache, and memory sensitivities of database and analytics workloads at scale.
• Experience with market entry strategies, solution presentation, or the wider data analytics provider and cloud environment.
• Background in accelerated computing platforms or data center CPU product launches.

This posting is for an existing vacancy. 

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