Senior Technical Program Manager, DGX Cloud Software Products 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, Artificial Intelligence, Cloud ComputingIndustries

Requirements

12+ years of Program Management experience driving the planning and execution of large programs, software engineering projects in a matrix environment
Excellent communications and technical presentation skills; enthusiastic, energetic, responsive, and passionate about finding opportunities for process improvement
Experience with security reviews or leading a team through the security review process
Experience with Jira and/or JAMA, to the point that you can comfortably guide an engineering team on how to use these tools and execute in an Agile/scrum manner
Ability to think strategically and tactically and to build consensus in making programs successful; ability to resolve technical issues and resource conflicts
Expert in Enterprise scale lean process development
Strong background in rolling out new efficiencies organization-wide
Ability to drive cross org alignment across senior and executive leaders
Experience with cloud architectures
MS EE or CS degree, or equivalent experience

Responsibilities

Drive end-to-end delivery of managed services programs in DGX Cloud, ensuring alignment with business and Product leadership
Engage deeply with engineering teams on architecture, scalability, and reliability challenges in managed services
Champion the AI developer experience in DGX Cloud managed services by incorporating customer feedback into program roadmaps
Shepherd NVIDIA solutions through the internal open-source contribution process, coordinate with legal, security, compliance, and open-source program office; ensure approvals are obtained; manage internal tools/workflows; and track contribution lifecycle until public release
Incorporate customer and open-source community feedback into program roadmaps
Identify and resolve/mitigate risks and resolve issues that affect all aspects of scope, schedule, and quality
Develop and drive a communication strategy that provides cross functional and org visibility on overall Program progress and engineering delivery
Cultivate a culture of continuous improvement, finding opportunities for process enhancements
Gather requirements, drive prioritization, schedules, and planning for all phases of the product life cycle
Manage risks and resolve issues that affect scope, schedule, and quality and ensure the quality standards of the programs are achieved
Be the connective tissue between global cloud service providers and NVIDIA engineering teams, creating cloud infrastructure and user experiences for DGX Cloud customers

Skills

Key technologies and capabilities for this role

Technical Program ManagementDGX CloudDeep LearningAI PlatformsCloud InfrastructureScalabilityReliabilityArchitectureProduct Lifecycle ManagementRisk ManagementStakeholder ManagementOpen Source

Questions & Answers

Common questions about this position

What experience level is required for this role?

The position requires 12+ years of Program Management experience driving the planning and execution of large programs and software engineering projects in a matrix environment.

What are the key responsibilities of the Senior Technical Program Manager?

You will drive end-to-end delivery of managed services programs, engage with engineering teams on architecture and scalability, champion AI developer experience by incorporating feedback, shepherd open-source contributions, manage risks, and develop communication strategies.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this position?

Candidates with 12+ years of program management experience in software engineering projects within a matrix environment, excellent communication skills, and the ability to drive large programs while bridging engineering, product, and open-source communities will stand out.

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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