Senior Technical Product Manager - GPU Direct Storage at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, HPC, Autonomous Driving, RoboticsIndustries

Requirements

BS/MS/PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical discipline (or equivalent experience)
12+ yrs of relevant experience
Strong technical expertise in accelerated computing and storage, especially GPUDirect Storage, cuFile, or closely related technologies
Demonstrated experience and deep understanding of scientific computing, AI workloads, and high-performance computing (HPC) environments
Exceptional interpersonal skills, capable of articulating complex technical concepts clearly to both technical and non-technical audiences

Responsibilities

Strategic Product Definition: Collaborate closely with architects, engineers, and researchers to define and evolve the roadmap for GPUDirect Storage and cuFile
Customer Engagement: Work directly with customers and developers to understand use cases, pain points, and requirements, ensuring our solutions meet and exceed their expectations
Go-to-Market Strategy: Lead efforts in launching and positioning products, including collaboration with Marketing, PR, and Sales teams to develop impactful content, technical collateral, and communication strategies
Thought Leadership: Create compelling technical content, including blogs, white papers, webinars, and tutorials, highlighting the value and innovation behind our GPUDirect Storage and cuFile offerings

Skills

Key technologies and capabilities for this role

GPUDirect StoragecuFileCUDAGPU-accelerated storageHPCAI workloadsscientific computingaccelerated computing

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Technical Product Manager role?

A BS/MS/PhD in Computer Science, Electrical Engineering, Applied Mathematics, or related field (or equivalent) is required, along with 12+ years of relevant experience and strong technical expertise in accelerated computing and storage like GPUDirect Storage or cuFile.

What are the key responsibilities of this Technical Product Manager position?

The role involves strategic product definition by collaborating with architects and engineers, customer engagement to understand use cases, leading go-to-market strategies, and creating technical content like blogs and white papers.

What skills help candidates stand out for this role?

Candidates stand out with a proven track record in software development or product management for distributed computing/storage, direct experience with CUDA and GPU programming, and prior roles defining strategies in cloud or HPC environments.

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

NVIDIA's team thrives on creativity, collaboration, and a shared drive to tackle ambitious challenges, with forward-thinking and hard-working people leading in AI and HPC innovations.

Is this a remote position, and what is the salary range?

This information is not specified in the job description.

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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