NVIDIA’s DGX Cloud team is seeking a Technical Program Manager (TPM) to drive critical programs related to AI capacity enablement and management. This TPM will collaborate with engineering, infrastructure, and software teams internally, as well as CSPs and NCPs externally, to build AI capacity and infrastructure globally. Key responsibilities include defining requirements for cloud service providers, developing comprehensive roadmaps, managing ongoing capacity operations, and leveraging Jira for program management. The ideal candidate has over 10 years of technical program management experience in large-scale cloud infrastructure projects, with expertise in cloud technologies like Kubernetes and Terraform, and a deep understanding of NVIDIA GPU products. Strong proficiency in Jira and strategic thinking are essential, along with excellent communication skills for executive audiences.
Skills
Jira
Kubernetes
Terraform
API integration
CI/CD
AWS
Azure
GCP
PostgreSQL
Docker
Prometheus
Grafana
GitLab
Python
NVIDIA GPUs
Cloud-native environments
AI infrastructure
ML infrastructure
What you'll do
Define and communicate technical requirements to CSPs and NCPs for AI capacity.
Drive alignment with external partners on managed storage, network solutions, and NVIDIA’s roadmap.
Manage ongoing capacity operations and engineering engagement with cloud providers.
Identify opportunities for third-party and in-house cloud infrastructure solution adoption.
Establish KPIs and demonstrate the value delivered by programs quantitatively.
What we're looking for
10+ years of technical program management experience in large-scale cloud infrastructure programs.
Extensive hands-on experience in cloud infrastructure, preferably from a major Cloud Service Provider (CSP).
Expert-level proficiency with Jira or similar program management tools and ability to guide engineering teams.
Domain knowledge in bring-up and end-to-end operations of compute, storage, and GPU systems.
Outstanding strategic and tactical thinking abilities with strong consensus-building skills.
BS or MS in Electrical Engineering or Computer Science, or equivalent experience.
In-depth knowledge of NVIDIA GPU products, including deployment and bring-up processes.
Market check
Salary context
This
$168,000–$258,750
range sits above
77%
of similar postings on FindRole.
Peer median band
$127,666–$225,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$143,012–$213,375
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.
Us, Ca, Santa Clara, US25 days ago
$168,000–$258,750
Jira
Aha!
Confluence
Git
Distributed version control systems
Reliability engineering
Resilience development
Service performance metrics
Goodput
Efficiency
Utilization
Distributed training frameworks
Checkpointing
NCCL
Slurm
AI infrastructure
Large-scale compute platforms
CI/CD