Customer Technical Program Manager at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

5+ years in a high-tech electronics or semiconductor industry with a focus on program/project management
BS/MS in Engineering or Computer Science
Experience running significant and complex server engagement programs, especially with strategic customers with large datacenter deployments
Strong technical savvy, including server development and datacenter qualification/deployment
Validated history of 5+ years of Project/Program Management of server and software product solutions
Strong technical background and experience working with customers in a cloud development/deployment and/or OEM environment
Experience leading global teams
Ability to handle multiple customers and programs across worldwide geographies and time zones
Ability to organize and lead complex technical engineering-to-engineering (hardware and software) discussions
Graphics, AI/deep learning, high performance computing, and/or cloud datacenter development/deployment experience desirable
Native Mandarin, Fluent English (preferred)
Travel <10%

Responsibilities

Define the strategy and tactics for successfully executing graphics-based server product solutions (including AI/deep learning, high-performance computing, virtualization, and remote visualization), from evaluation/proof-of-concept, to design/development/qualification/validation, through customer acceptance and production datacenter deployment
Execute the plan by identifying and assembling the core support team, formally kicking off the project with the customer, supporting the design-in effort by providing technical collateral/product samples/tools, leading engineering design reviews, ensuring the implementation of any customer-required features, driving resolution of any blocking issues/bugs, and ensuring customer acceptance and production deployment
Provide sustaining technical support to the customer post-production/deployment and act as a case manager to lead resolution of field quality issues/escalations
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
Work closely with engineering, operations, quality, marketing, and sales teams to resolve technical and logistical issues
Lead customer relations as well as technical/operational program execution for enterprise and cloud service provider customers

Skills

Program Management

Deep Learning

High-Performance Computing

Virtualization

Remote Visualization

GPU

Datacenter Deployment

Design Reviews

Customer Relations

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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