below marketmost similar roles pay hereabove market
This role pays more than
65%
of similar roles. Most pay
$176,450–$254,637
— the blue band above.
At the midpoint, this role pays about
$236k
versus about
$216k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
The Data Analytics CPU Workload Performance Product Manager joins the team responsible for developing new generation data center CPUs for accelerated computing. This role owns the strategy and value proposition for data analytics, identifying priority workloads and customer scenarios to guide the product roadmap. Responsibilities include leading the lifecycle of TPC-H and TPC-DS benchmarks, translating disk, cache, memory, I/O, and clustering behaviors into concrete system requirements, and advising architecture teams on development priorities. The position requires building quantitative value propositions across performance, power, and TCO to position CPUs against competing architectures. Candidates must possess practical knowledge of CPU and database performance, system hardware characteristics, and experience collaborating with external ISVs, database vendors, and cloud providers to build joint solutions and field-ready positioning materials.
Define the workload and market approach for data analytics on NVIDIA data center CPUs.
Lead the complete lifecycle of benchmarks including TPC-H and TPC-DS methodologies and architecture.
Translate hardware behaviors like cache, memory, and I/O into concrete CPU and platform requirements.
Advise architecture and platform teams on specific product features and development priorities.
Build a quantitative value proposition covering performance, power, and TCO against competing architectures.
Partner with external ISVs, database vendors, and cloud providers to build joint solutions.
Convert benchmark results and customer evidence into product decisions and field enablement materials.
What we're looking for
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 influencing analytics performance, including caching, clustering, high availability, and I/O sensitivity.
Ability to translate workload performance into product, platform, and feature requirements for architecture teams.
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 (preferred).
Background in accelerated computing platforms or data center CPU product launches (preferred).
Silicon Development
Generative AI
Data Center Architecture
Accelerated Computing
Inference
Data Analytics
C2C Fabric
Software Development
AI Infrastructure
Technical Product Marketing
Benchmarking