[Remote] Senior Product Manager, CUDA-X Scientific Computing Libraries at NVIDIA

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Computing, Drug Discovery, CAE, EDA, Accelerated ComputingIndustries

Requirements

Undergraduate degree or equivalent experience in physics, mathematics, mechanical engineering, electrical engineering, computer engineering, or relevant technical field
8+ years of combined experience in a product management or technical role at a technology company working with libraries, SDKs, and/or toolkits
Familiarity with quantum chemistry, atomistic simulation and AI
Strong technical foundation in GPU computing, CUDA, or parallel programming models
Excellent communication and presentation skills, with the ability to work across engineering, marketing, and business teams
Proven ability to translate technical capabilities into developer and customer value
Ability to prioritize multiple projects and work independently with minimal direction

Responsibilities

Take a leadership role in defining strategic go-to-market plans that include product launches, campaigns, and events for CUDA-X libraries across key industries, including effective messaging, positioning, and market research
Bring ideas to life through content creation of sales/partner enablement assets such as presentation decks, blogs, whitepapers, webinars, demos, and more
Engage with various audiences (internal and external), delivering ideas clearly with confidence using creative approaches, translating technology capabilities to messages that resonate
Collaborate with product managers from other departments, product marketing teams, campaign marketing, developer relations, business development, sales, and PR teams to ensure alignment and execution of GTM and strategic business plans
Bring back industry news, direct developer/customer conversations, and share critical insights with internal teams

Skills

Key technologies and capabilities for this role

Product ManagementCUDA-XGPU AccelerationQuantum ChemistryGo-to-Market StrategyMarket ResearchContent CreationSales EnablementPresentation SkillsTechnical CommunicationDeveloper RelationsBusiness Development

Questions & Answers

Common questions about this position

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

An undergraduate degree or equivalent experience in physics, mathematics, mechanical engineering, electrical engineering, computer engineering, or a relevant technical field is required, along with 8+ years of combined experience in product management or technical roles at a technology company working with libraries, SDKs, and/or toolkits.

What key skills are needed for this position?

Candidates need familiarity with quantum chemistry, atomistic simulation and AI, a strong technical foundation in GPU computing, CUDA, or parallel programming models, excellent communication and presentation skills, and the ability to translate technical capabilities into developer and customer value while prioritizing multiple projects independently.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What experience will make me stand out as a candidate?

Experience with quantum chemistry, atomistic simulation, and AI, prior experience managing quantum chemistry or atomistic AI simulation products, and experience driving related initiatives will help you stand out.

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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