Principal Product Management, Hyperscaler - Accelerated Computing at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, AI, Semiconductors, Data CenterIndustries

Requirements

15 yrs experience in Engineering, Product Management, or Customer Enabling with direct experience developing/delivering data center products and collaborating closely with customers
Demonstrated expertise in accelerated compute, networking, InfiniBand, at-scale clusters, and building large scale systems
Working knowledge of data center product development process across Hardware, Software, and System Integration
Broad technical and operational experience, business strategy, problem solving across multiple domains, critical thinking / data analysis
Proven history of establishing strong customer relationships built on trust, and ability to demonstrate this knowledge and data to influence internal and external partners
Bachelor’s degree (or equivalent experience), preferably graduate degree in Computer Science, Computer Engineering, or Electrical Engineering, MBA, or other related product management fields
Outstanding communication skills, excellent problem-solving skills, and strong leadership to lead small teams of product managers

Responsibilities

Collaborate with the top Hyperscalers on New Product Introduction with an emphasis on the Execution, Build, Integration, Acceptance, and Ramp phases
Build close working partnership with customers. Understand what our customers need, establish requirements, and drive such findings into our future products and development engine. Derive / Establish practical and realistic solutions
Partner with Internal teams to establish product direction. Integrate data and trends across business, operations, engineering, and marketing to drive features into new products and breakthroughs in our time to market
Lead / Resolve significant product issues. Partnering with account teams and function as a point of escalation for customer issues across business and technical. Ensure we navigate the technical and business complexities to keep customers ramping and NVIDIA growing, while balancing schedule, business, technical, and quality challenges
Develop goals/targets, process improvements, enabling strategies, integration, and quality and validation improvements to enable at scale deployment
Represent our product status, partner interlock schedules, priorities, and top issues to both internal & external (partner/customer) executives

Skills

Product Management

Data Center Products

AI Supercomputing

Accelerated Computing

Hyperscalers

New Product Introduction

Customer Collaboration

Engineering

Execution and Ramp

Integration and Validation

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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