# Product Manager - Data Center CPUs

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Salary**: 184,000 USD - 287,500 USD for Level 5, and 224,000 USD - 356,500 USD for Level 6
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Data-Analytics-CPU-Workload-Performance-Product-Manager_JR2027355-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6f35a19d-547

## Description

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!

**Responsibilities:**

- 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.

**Requirements:**

- 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.

**Nice to Have:**

- 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 5, and 224,000 USD - 356,500 USD for Level 6. You will also be eligible for equity and benefits.

## Skills

### Required
- CPU performance
- database performance
- technical product management
- performance engineering
- Computer Science
- Electrical or Computer Engineering

### Nice to have
- TPC-H
- TPC-DS
- data analytics benchmarks
- accelerated computing platforms
- data center CPU product launches

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Data-Analytics-CPU-Workload-Performance-Product-Manager_JR2027355-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)