Senior Technical Program Manager, NPI - DGX Cloud at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Cloud ComputingIndustries

Requirements

12+ years of technical program management experience, with a focus on infrastructure, hardware/software integration, or cloud platforms
Proven track record of leading NPI or large cross-functional programs in fast-paced environments
Experience working with cloud service providers, large-scale data center deployments, or enterprise-scale infrastructure programs
Strong understanding of GPU compute, Kubernetes, CI/CD pipelines, and cloud-native services
Demonstrated experience building or improving product development processes and team workflows
Skilled in tools such as JIRA, Confluence, JAMA, dashboards, and reporting tools
Ability to influence cross-functional teams, including HW, SW, QA, Site Ops, and Product
Outstanding communication and leadership skills, capable of collaborating effectively with senior collaborators
BS/MS in CS, EE, related technical field, or equivalent experience

Responsibilities

Lead the end-to-end execution of NPI programs across engineering, operations, and cloud service provider (CSP) partners
Build and manage detailed project plans, milestones, and capacity plans for DGX Cloud hardware and software rollouts
Manage complex technical collaborations proactively, identifying and resolving critical issues before they impact deployments
Coordinate site readiness and infrastructure bring-up activities, including networking, inventory, corp IT, and security integration
Partner with SW stack teams to track development, testing, and integration across product phases
Define and implement acceptance testing, validation workflows, and readiness gates for new platforms
Work closely with stakeholders to develop scalable NPI processes, tools, and dashboards
Drive automation efforts for break/fix workflows, telemetry enablement, and system health validation
Facilitate regular communication with leadership, engineering, CSP teams, and Colo partners and cultivate a culture of continuous improvement and process innovation

Skills

Technical Program Management

NPI

GPU Platforms

Hyperscale Data Centers

Hardware

Software

Infrastructure

Networking

Security Integration

SW Stack

Testing

Validation

Automation

Telemetry

Project Planning

Roadmap Execution

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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