Accelerated Computing GPU Product Manager 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, High-Performance ComputingIndustries

Requirements

7+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued
BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus
Demonstrated ability to fully contribute in one or more of the areas above within 3 months
Knowledge of, and capable of explaining GPU, software and computing architectures
Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs
Ability to work closely with cloud partners
Ways to stand out
Strong background in developing or deploying large scale GPU based AI applications, like Large Language Model, for training and inference
Direct experience in building or leading cloud computing infrastructure and technologies
Exposure to bringing accelerated computing systems to market

Responsibilities

Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference
Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals
Work cross functionally with our partners, engineering, operations & field teams to develop comprehensive product go to market plans and product positioning
Work with our sales organization to develop effective sales collateral and tools

Skills

Key technologies and capabilities for this role

GPUProduct ManagementData CenterMachine LearningArtificial IntelligenceHigh-Performance ComputingLarge Language ModelsAI Engineering

Questions & Answers

Common questions about this position

What experience is required for the Accelerated Computing GPU Product Manager role?

Candidates need 7+ years of total experience in technology, with previous product management, AI related engineering, design or development experience highly valued, plus a BS, MS, or equivalent in engineering, computer science, or another technical field (MBA a plus).

What are the key skills needed for this position?

Required skills include knowledge of and ability to explain GPU, software and computing architectures, a strong desire to learn, motivation to tackle complex problems, ability to make sophisticated trade-offs, and working closely with cloud partners.

What is the salary for this role?

NVIDIA offers highly competitive salaries determined based on location, experience, and pay of employees in similar positions. Specific salary ranges are not detailed in the job description.

What benefits does NVIDIA offer?

NVIDIA provides a comprehensive benefits package, with more details available at www.nvidiabenefits.com.

What makes a candidate stand out for this role?

Stand out with a strong background in developing or deploying large scale GPU based AI applications like Large Language Models for training and inference, direct experience in building or leading cloud computing infrastructure, and exposure to bringing accelerated computing systems to market.

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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