Senior Technical Program Manager - DGX Cloud Storage

Details

NVIDIA’s DGX Cloud is redefining how organizations deploy and scale AI infrastructure. We’re looking for a Senior Technical Program Manager to drive storage-related initiatives across development, operations, and cloud deployment. This is a high-impact role interfacing with engineering, product, operations, finance, and our global cloud partners.

Responsibilities

• Lead cross-functional storage programs from requirements gathering through execution and delivery.
• Drive alignment across NVIDIA storage engineering, operations, cloud service providers, cluster 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 product roadmaps.
• 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 in EE or CS, 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 and storage services (AWS, Azure, GCP, OCI — Block, Object, File).
• Knowledge of distributed storage systems: SAN, NAS, object storage, and scalable distributed architectures such as Ceph or Lustre.
• Understanding of storage performance metrics and optimization (IOPS, latency, throughput) and capacity planning for large-scale environments.
• Familiarity with data protection and disaster recovery strategies: snapshots, backups, replication, DR planning.
• Understanding of storage requirements for AI/ML and HPC workloads (high-throughput AI training and data pipelines).

Ways to stand out

• Hands-on experience with storage operations, provisioning, performance monitoring, and troubleshooting.
• Experience with new product introduction and program managing research teams.

Compensation & Benefits

• Base salary range: 192,000 USD - 304,750 USD (final base salary determined by location, experience, and pay of employees in similar positions).
• Eligible for equity and benefits.

Additional information

• Location: Santa Clara, CA, United States.
• Employment type: Full time.
• Posting includes "#LI-Hybrid" (hybrid work model).
• Applications accepted at least until December 22, 2025.
• NVIDIA is an equal opportunity employer committed to diversity and inclusion.