Senior Technical Program Manager, Cloud Infrastructure

NVIDIA•Santa Clara, CA

1d•$168,000 - $322,000

About The Position

NVIDIA is seeking an accomplished Technical Program Manager to join its DGX Cloud team and deliver value to DGX Cloud customers. The role focuses on cloud infrastructure bring-up with external partners, including CSPs, emerging cloud providers, and internal engineering teams, to build AI capacity and infrastructure globally. The TPM partners with Engineering, Infrastructure, Software teams, and their leadership to drive programs for AI capacity enablement and management. The role develops and matures foundational DGX Cloud capabilities and processes, including cluster and capacity bring-up requirements for CPU, storage, networking, and GPU-supported compute. TPMs work across a range of high-impact programs in a dynamic, fast-paced environment. The position requires extensive experience planning and executing large-scale cloud infrastructure programs with external partners, along with hands-on cloud infrastructure knowledge and familiarity with compute, storage, and GPU operations. The role requires strong program management, communication, technical presentation, consensus-building, and risk-management skills. A BS or MS in Electrical Engineering or Computer Science, or equivalent experience, is required.

Requirements

8+ years of technical program management experience, specifically planning and executing large-scale cloud infrastructure programs with external partners, with a strong focus on software engineering projects in a matrixed organization.
Extensive hands-on cloud infrastructure experience, preferably gained at a major Cloud Service Provider.
Domain knowledge of bring-up and end-to-end operations for compute, storage, and GPUs, including common hardware and software failure points.
Expert-level proficiency with Jira, Smartsheet, or similar program management tools, and ability to guide engineering teams in their use.
Strong strategic and tactical thinking, with the ability to build consensus and drive program success.
Ability to work effectively in ambiguous environments.
Excellent communication and technical presentation skills, particularly for executive audiences.
BS or MS in Electrical Engineering or Computer Science, or equivalent experience.

Nice To Haves

In-depth knowledge of NVIDIA GPU products, including deployment and bring-up, and familiarity with cloud-native products and services environments.
Working knowledge of cloud technologies, including Kubernetes, API integration, Terraform, and related tooling.
Familiarity with AI and ML infrastructure and the application of NVIDIA deep learning platforms in academic, startup, and enterprise environments.
Significant experience with productivity tools and process automation, with an ability to identify and drive process improvements.
Enthusiastic, energetic, responsive, and passionate approach; ability to thrive in fast-paced environments and deliver value to DGX Cloud customers.

Responsibilities

Collaborate with storage and network engineering teams to define and communicate workload requirements, infrastructure readiness, and capacity-block plans to CSPs and NCPs.
Engage early with CSPs and NCPs to understand managed storage and network solutions and align them with the NVIDIA Cloud roadmap.
Gather technical requirements, develop roadmaps, establish milestones, and ensure adherence to the Product Lifecycle process.
Manage capacity operations and engineering engagement with CSP and NCP partners, working with engineering leads on availability, maintenance, and performance indicators.
Use Jira and other program management platforms to structure and manage engineering deliverables.
Identify and drive opportunities to onboard third-party and in-house cloud infrastructure solutions across deployments, support, security, compliance, and observability for DGX Cloud.
Establish KPIs to demonstrate program value and impact, and proactively identify, resolve, and mitigate risks affecting scope, schedule, and quality.
Identify opportunities for process enhancements in cloud infrastructure operations and promote continuous improvement.