Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a Senior Product Manager to define and own the DGX Cloud Data Platform and Analytics System! This platform is a governed data platform that brings together fleet and machine data from across DGX Cloud and publishes it as authoritative, joinable, fully traceable data products. The role owns the roadmap across the platform's crawl, walk, and run phases, defines the data products that let any team answer a cross-fleet question with a single query, and negotiates versioned data contracts with the teams that produce the data. It works in close partnership with engineering leadership, infrastructure security, and compliance to establish how aggregated fleet data is classified, accessed, retained, and audited. This is a foundational role on a new team, with a broad charter and highly visible outcomes. What you'll be doing: • Define requirements and acceptance criteria for the platform's flagship products: single-source-of-truth tables for clusters, associated components, customers, and workloads, along with the relationship tables that connect them • Partner with source and collector teams across DGX Cloud to onboard their data and define versioned data contracts covering schema, semantics, freshness, quality, and change notification • Drive identifier and schema standardization upstream with producing teams, so that every standardization decision is recorded, owned, and tracked to closure • Work with infrastructure security, compliance, and enterprise data teams to define the security model • Engage with engineering leadership to establish priorities and resource allocation, sequence delivery against firm external constraints, and gain prioritization consensus across many collaborating teams • Define and report the measures that show the platform is working, including standardization debt per source, pipeline freshness and quality SLOs, source onboarding throughput, and time to first answer for a new consumer • Define the requirements and build the case for extending the platform to NVIDIA Cloud Partners and cloud service providers. What we need to see: • 12+ years of total experience in technology, with product management or engineering experience in data platforms, cloud infrastructure, or AI/ML • BS or MS in engineering, computer science, or another technical field (or equivalent experience) • Demonstrated experience in definition of data platform, data infrastructure, or analytics product through multiple delivery phases, from first ingestion through to production consumers • A solid background in data architecture, including layered or data contracts, schema and lineage management, data catalogues, and SQL as a primary consumer interface • Working knowledge of data governance and access control concepts, including attribute-based access control, data classification, least privilege, retention, and audit evidence • Demonstrated experience driving standardization and adoption across teams • Ability to lead discussions, coordinate among diverse collaborators, and act as a trusted advisor Ways to stand out from the crowd: • Experience building single-source-of-truth entity models, CMDB, or inventory systems that reconcile identifiers across multiple source systems • Familiarity with bi-temporal or append-only data modeling and point-in-time historical reconstruction • Experience delivering data products consumed by AI agents through MCP, retrieval, or graph-backed context, as well as by human analysts • Background in large-scale GPU, HPC, or data center fleet operations, observability, resource planning, or infrastructure security • Experience productizing an internal platform for external partners, including disconnects Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

Partner with source and collector teams across DGX Cloud to onboard their data and define versioned data contracts covering schema, semantics, freshness, quality, and change notification
Drive identifier and schema standardization upstream with producing teams, so that every standardization decision is recorded, owned, and tracked to closure
Work with infrastructure security, compliance, and enterprise data teams to define the security model
Engage with engineering leadership to establish priorities and resource allocation, sequence delivery against firm external constraints, and gain prioritization consensus across many collaborating teams
Define and report the measures that show the platform is working, including standardization debt per source, pipeline freshness and quality SLOs, source onboarding throughput, and time to first answer for a new consumer
Define the requirements and build the case for extending the platform to NVIDIA Cloud Partners and cloud service providers.
12+ years of total experience in technology, with product management or engineering experience in data platforms, cloud infrastructure, or AI/ML
BS or MS in engineering, computer science, or another technical field (or equivalent experience)
Demonstrated experience in definition of data platform, data infrastructure, or analytics product through multiple delivery phases, from first ingestion through to production consumers
A solid background in data architecture, including layered or data contracts, schema and lineage management, data catalogues, and SQL as a primary consumer interface
Working knowledge of data governance and access control concepts, including attribute-based access control, data classification, least privilege, retention, and audit evidence
Demonstrated experience driving standardization and adoption across teams
Ability to lead discussions, coordinate among diverse collaborators, and act as a trusted advisor
Experience building single-source-of-truth entity models, CMDB, or inventory systems that reconcile identifiers across multiple source systems
Familiarity with bi-temporal or append-only data modeling and point-in-time historical reconstruction
Experience delivering data products consumed by AI agents through MCP, retrieval, or graph-backed context, as well as by human analysts
Background in large-scale GPU, HPC, or data center fleet operations, observability, resource planning, or infrastructure security
Experience productizing an internal platform for external partners, including disconnects
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlsql

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Vision