below marketmost similar roles pay hereabove market
This role pays more than
93%
of similar roles. Most pay
$196,750–$262,000
— the blue band above.
At the midpoint, this role pays about
$310k
versus about
$229k
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 Principal Product Manager, NVIDIA Trust Services – DGX Cloud will join the DGX Cloud team to extend the capabilities of NVIDIA Trust Services. This role involves defining the functionality of critical cloud services, specifically focusing on the confidential computing and GPU integrity space. You will define and own the end-to-end attestation platform roadmap, including hardware attestation, software services, and customer tooling. Key responsibilities include establishing priorities with engineering leadership, determining pricing and packaging, and coordinating features across GPU hardware, firmware, security, and engineering teams. You must possess expertise in cloud security, APIs, multi-tenant architecture, and PKI concepts like OCSP and certificate lifecycle processes. The role addresses the technical challenge of providing secure key management and integrity-verification services for AI application stacks and enterprise cloud environments.
What does a Product Manager earn in California?
Median $222500 from 327 postings across 57 companies.
Define and drive the attestation strategy for CSP and enterprise customers, including pricing and go-to-market plans.
Own the end-to-end attestation platform roadmap covering hardware, software services, and customer tooling.
Establish feature priorities and resource allocations in coordination with engineering leadership.
Gather feedback and identify emerging requirements from CSP, NCP, and enterprise customer bases.
Explore and identify new capabilities within AI application stacks.
Coordinate features and schedules across GPU hardware, firmware, product, security, and engineering teams.
What we're looking for
15+ years of total experience in technology with product management or engineering experience in high-tech, cloud, or AI/ML.
BS or MS in engineering, computer science, or another technical field (or equivalent experience).
Demonstrated experience growing enterprise cloud services from both a feature and customer growth perspective.
Strong background in cloud computing and cloud security concepts including APIs, multi-tenant architecture, SLAs, monitoring, and availability requirements.
Working knowledge of device attestation and familiarity with secure key administration and certificate lifecycle processes.
Demonstrated experience with AI/ML platforms and pipelines.
Ability to lead discussions, coordinate among diverse collaborators, and act as a trusted advisor.
Experience building or managing cloud-based attestation or integrity-verification services (preferred).