Senior Accelerated Computing GPU Product Manager at NVIDIA

Santa Clara, California, United States

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$168,000 – $327,750Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Artificial Intelligence, TechnologyIndustries

Requirements

6+ years of total experience in technology
Previous product management, AI-related engineering, design, or development experience (highly valued)
BS or MS in Engineering, Computer Science, or a related technical field (MBA a plus)
Deep understanding of datacenter workloads and applications, especially around Large Language Models (LLMs)
Knowledge of GPU, software, and computing architectures
Demonstrated ability to explain complex technical concepts
Direct experience in developing or deploying large-scale GPU-based AI applications (e.g., LLMs) for training and inference (preferred)
Strong background in building or leading cloud computing infrastructure and technologies (preferred)

Responsibilities

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

Skills

Key technologies and capabilities for this role

Product ManagementGPULLMsDatacenter WorkloadsAI TrainingAI InferenceComputing ArchitecturesCloud ComputingGo-to-MarketSales Collateral

Questions & Answers

Common questions about this position

What is the salary range for this Senior Accelerated Computing GPU Product Manager role?

The base salary range is $168,000 - $327,750 USD.

Is this position remote or does it require office work?

This information is not specified in the job description.

What are the key skills and experience required for this role?

Candidates need 6+ years of total experience in technology, deep understanding of datacenter workloads especially LLMs, knowledge of GPU/software/computing architectures, and ability to explain complex technical concepts. Previous product management or AI-related engineering experience is highly valued, along with a BS/MS in Engineering, CS, or related field.

What is the team culture like at NVIDIA for this role?

The Accelerated Computing team is dynamic and motivated, responsible for developing compelling GPU value propositions and product proposals.

What makes a candidate stand out for this position?

Direct experience in developing or deploying large-scale GPU-based AI applications like LLMs for training and inference, or a strong background in building or leading cloud computing infrastructure and technologies.

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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