Nvidia Senior Technical Program Manager - DGX Cloud Storage 

United States, Texas 

770876597

What you'll be doing:

As a DGX Cloud Storage Technical Program Manager, you will be the connective tissue 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

What we need to see:

• 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

Ways to stand out from the crowd:

• Hands-on experience with storage operations, provisioning, performance monitoring, and troubleshooting.

• Experience with new product introduction and program managing research teams.