NVIDIA

Senior Technical Program Manager - DGX Cloud Storage

NVIDIA

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $192,000 - $368,000 per year

Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud Platform

About the role

  • NVIDIA’s DGX Cloud is redefining how organizations deploy and scale AI infrastructure; Senior TPM to drive storage-related initiatives across development, operations, and cloud deployment.
  • Lead cross-functional storage programs from requirements gathering through execution and delivery; drive alignment across NVIDIA storage engineering, operations, cloud service providers, clusters operators, resource governance and finance.
  • Define project plans, schedules, and achievements for storage features, storage deployments, support, security, compliance, and observability.
  • Partner with the engineering team and product management to define and deliver products roadmap.
  • Manage technical risks and resolve blockers that impact quality, scope, and delivery timelines.
  • Coordinate with cross-functional teams to improve workflows, efficiency, and transparency.
  • Ensure program visibility across the organization and maintain strong communication channels with senior stakeholders.
  • Improve organizational efficiency by collaborating with multi-functional leads and optimizing processes Cultivate a culture of continuous improvement, finding opportunities for process enhancements

Requirements

  • 12+ years of experience in program management of large-scale software or infrastructure projects
  • MS EE or CS degree, or equivalent experience
  • Proven success driving programs across global, distributed teams.
  • Outstanding communication and organizational skills, with the ability to align cross-org stakeholders.
  • Expertise with tools like Jira and Confluence, and the ability to guide teams in their use.
  • Strong foundation in software development, Agile methodologies, and DevOps best practices.
  • Familiarity with Cloud Platforms: AWS, Azure, GCP, or OCI storage services (Block, Object, File)
  • Knowledge of Distributed Storage Systems: SAN, NAS, object storage, and scalable distributed architectures such as Ceph or Lustre.
  • Storage Performance: Understanding IOPS, latency, throughput optimization, and capacity planning for large-scale environments
  • Data Protection & DR: Familiarity with snapshots, backups, replication, and disaster recovery strategies
  • AI/ML & HPC Workloads: Understanding storage requirements for high-throughput AI training or data pipelines