Senior Customer Technical Program Manager - AI Datacenter at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Datacenter, Cloud ComputingIndustries

Requirements

8+ years of experience in program/project management with direct customer engagement
Strong leadership in global, matrixed environments
Bachelor’s degree or equivalent experience in Computer Science, Engineering, or related field
Solid track record of successfully managing sophisticated, large-scale datacenter projects
Continue learning new knowledge and rapidly growing capabilities as NVIDIA ventures into new markets
Ways to stand out
Leading technical programs, engaging directly with one or more CSPs as your customer
At least 8 years of professional experience in networking fundamentals, TCP/IP stack, InfiniBand fundamentals and data center architecture
Strong cross-functional collaboration across globally distributed teams

Responsibilities

Drive the hands-on technical engagement with CSPs and their ODM/OEMs
Incorporate datacenter tools and operationalize protocols for AI factory development. Resolve any issues and keep the project on track
Lead execution and technical engagement directly working with CSP's networking teams
Assemble and guide cross-functional teams, ensuring alignment and execution excellence
Integrate datacenter tools and operationalize processes for network buildout and operations
Work closely with core engineering team and enterprise support teams to provide resolutions to the customer in timely manner
Work closely with Solution Architecture team to provide technical direction on standard networking methodologies and operational excellence
Develop and manage networking software delivery timelines, aligning to the different accelerated computing programs
Ensure timely delivery of customer-specific features and production deployment
Communicate program status, risks, and insights to senior management

Skills

Technical Program Management

AI Infrastructure

Datacenter Operations

Networking

GPUs

CPUs

Cloud Service Providers

ODM/OEM

Solution Architecture

Accelerated Computing

Cross-functional Teams

Software Delivery

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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