Senior Product Manager, cuBLAS and cuSOLVER

California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High-Performance Computing, Software Development, BiotechnologyIndustries

Requirements

Candidates must possess an undergraduate degree or equivalent experience in computer science, mathematics, computer engineering, or a related technical field. A minimum of 8 years of combined experience in product management or a technical role at a technology company, working with libraries, SDKs, and/or toolkits, is required. Familiarity with linear algebra, numerical methods, and their application in AI, HPC, or scientific computing is necessary, along with a strong technical foundation in GPU computing, CUDA, or parallel programming models. Excellent communication and presentation skills, the ability to work across engineering, marketing, and business teams, and proven ability to translate technical capabilities into developer and customer value are essential. The role also requires the ability to prioritize multiple projects and work independently with minimal direction.

Responsibilities

The Senior Product Manager will lead the strategic go-to-market plans for CUDA-X libraries, including product launches, campaigns, and events, with effective messaging, positioning, and market research. This role involves creating sales and partner enablement assets such as presentation decks, blogs, whitepapers, webinars, and demos. The individual will engage with various internal and external audiences, delivering clear and confident presentations that translate technology capabilities into resonant messages. Collaboration with product managers, product marketing, campaign marketing, developer relations, BD, sales, and PR teams is crucial for aligning and executing marketing plans. Additionally, the role requires bringing back industry news, engaging in developer/customer conversations, and sharing critical insights with internal teams.

Skills

Product Management

Go-to-Market Strategy

Product Launches

Marketing Campaigns

Market Research

Content Creation

Sales Enablement

Developer Relations

Business Development

Public Relations

Computer Science

Mathematics

Computer Engineering

CUDA-X

cuBLAS

cuSOLVER

HPC

Accelerated Computing

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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