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.
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.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a hardworking individual who enjoys autonomy and shares our passion for technology, we want to hear from you. We are looking for great people like you to help us accelerate the next wave of artificial intelligence.
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Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 30, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
