Senior Customer Program Manager, AI and Cloud Platforms 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

BS/MS in Engineering or Computer Science (or equivalent experience)
8+ years in a high-tech electronics industry with a focus on program/project management
Experience running significant and complex software engagement programs, especially with strategic customers with large datacenter deployments
Strong technical savvy, including software qualification and deployment on AI infrastructure in a datacenter or Cloud
Supreme leadership skills across broad and diverse functional teams
Validated history of 5+ years of project/program management of software product solutions
Strong technical background and experience working with customers in a cloud development/deployment and/or OEM environment
Experience leading global projects

Responsibilities

Define the strategy and execution plans for successfully integrating complex AI model tech stacks in customer environments, from evaluation/proof-of-concept to design/development/qualification/validation, to production launch
Execute the plan by scoping the project, identifying and assembling the core support team, formally kicking off the project with customers, developing a joint project timeline, supporting the design-in effort by providing technical collateral/tools, leading engineering design reviews, ensuring the implementation of certain customer-required features, driving resolution of any blocking issues, and ensuring timely customer acceptance and 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 intelligently communicate issue status to the customer and internal (including executive) teams
Work closely with engineering, product management, and sales teams to resolve technical 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 discussions
Correctly represent the urgency of issues and raise them (internally and/or externally) as appropriate
Regularly communicate program 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

Key technologies and capabilities for this role

Program ManagementAICloud PlatformsCustomer RelationsProject ScopingTechnical ExecutionIssue TrackingEngineering Design ReviewsCross-Functional CollaborationGPUProof-of-ConceptProduction Deployment

Questions & Answers

Common questions about this position

What education and experience are required for this role?

A BS/MS in Engineering or Computer Science (or equivalent experience) is required, along with 8+ years in a high-tech electronics industry focused on program/project management and a validated history of 5+ years running complex software engagement programs.

Is this position remote or does it require working in the US?

The role is for a senior Program Management professional in the US, but specific details on remote work or office requirements are not provided.

What does the company culture at NVIDIA feel like?

NVIDIA is a fast-paced and growing organization where employees are passionate about parallel and visual computing, united in transforming graphics to solve complex problems, and seeking passionate, hard-working, and creative people.

What salary or compensation does this position offer?

This information is not specified in the job description.

What makes a strong candidate for this Senior Customer Program Manager role?

Strong candidates will have deep customer savvy from running complex software programs with strategic datacenter customers, strong technical knowledge in software qualification and deployment on AI infrastructure, and supreme leadership skills across diverse teams.

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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