Senior Customer Technical Program Manager - Data Center at NVIDIA

Tokyo, Japan

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Data CenterIndustries

Requirements

BS/MS in Engineering or Computer Science (or equivalent experience)
8+ years in a high-tech electronics industry with a focus on complex customer program/project management
Experience running significant and complex Data Center programs, especially with strategic customers with large Data Center deployments
Strong technical savvy, including server development and datacenter qualification/deployment
Strong technical background and experience working with customers in Data Center/Edge Cloud development/deployment environment
Supreme leadership skills across broad and diverse functional teams
Experience leading key strategic projects
PMP, Scrum Master certification is a plus

Responsibilities

Define the strategy and tactics for successful integration of NVIDIA platforms and software solutions for complex AI deployments, from evaluation/proof-of-concept to design/development/qualification/validation, through customer acceptance and start of service
Implement the plan by scoping the project, identifying and assembling the core support team, formally kicking off the project with customers, developing a joint project schedule, supporting the design-in effort by providing technical collateral/tools, leading engineering design reviews, ensuring the implementation of any customer-required features, driving resolution of any blocking issues/bugs, and ensuring timely production deployment
Translate customer requirements into specific tasks and assign those tasks to relevant functional areas
Collect, prioritize, track, and drive customer-reported issues to resolution/closure
Clearly and thoughtfully communicate issue status to the customer and to internal senior executive teams
Work closely with engineering, operations, quality, product management, and sales teams to resolve technical and logistical issues, set correct expectations, and keep the scope of the projects on track to successful execution
Effectively organize and lead complex technical engineering-to-engineering (hardware and software) discussions
Correctly represent the urgency of issues and raise them (internally and/or externally) as appropriate
Regularly communicate executive level program report status and key issues to management
Develop a close working relationship with customer development teams and use creativity to find solutions to their issues

Skills

Data Center

Servers

CPUs

Memory

Interconnect

Networking

Storage

AI Deployments

Program Management

Project Execution

Executive Reporting

NVIDIA Platforms

Technical Program Management

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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