This role pays more than
91%
of similar roles. Most pay
$200,000–$258,100
— the shaded 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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Principal Product Manager, NVIDIA Trust Services – DGX Cloud, you will join the DGX Cloud team to expand the capabilities of critical cloud services. You will lead the definition of functionality for these services while collaborating with customers in the confidential computing and GPU integrity space to determine key features, scalability needs, and business models. Your daily responsibilities include defining attestation strategies, owning the end-to-end platform roadmap across hardware and software, and coordinating features across various internal teams. You will leverage expertise in cloud security, multi-tenant architecture, APIs, and PKI concepts like certificate lifecycle processes and key rotation. The role focuses on solving complex problems within AI application stacks by managing attestation evidence flows, TEEs, and TPMs to ensure secure infrastructure for enterprise and CSP customers.
What does a Product Manager earn in California?
Median $223300 from 163 postings across 44 companies.
Define and drive the attestation strategy for cloud service providers and enterprises, including pricing and packaging.
Own the end-to-end roadmap for the attestation platform across hardware, software services, and customer tooling.
Engage with customers to gather feedback on service levels and identify emerging requirements in AI application stacks.
Collaborate with engineering leadership to establish feature priorities and resource allocation.
Coordinate features and schedules across internal teams including GPU hardware, firmware, product, and security.
Develop business models for confidential computing and GPU integrity services.
Identify and integrate new capabilities within the NVIDIA Trust Services portfolio.
What we're looking for
15+ years of total experience in technology with product management or engineering experience in high-tech, cloud, 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 (PKI).
Demonstrated experience with AI/ML platforms and pipelines.
Ability to lead discussions, coordinate among diverse collaborators, and act as a trusted advisor.
Strong problem-solving skills and a demonstrated ability to make sophisticated trade-offs.
Kubernetes
K8s
AI
Gen AI
LLMs
Bare-metal Orchestration
Containers
Parallel Computing
Networking Stack
Compute Architecture
Data Center Technologies
Job Schedulers
Product Management
Reference Architectures
GPU
Machine Learning
Artificial Intelligence
High-Performance Computing
Large Language Models
Cloud Computing
Training
Inference
Data Center
Computing Architecture
Accelerated Computing