Senior CPU Technical Product Marketing Manager - Accelerated Computing at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, AI, High Performance Computing, Data CenterIndustries

Requirements

BS Degree in Engineering, Science, or related field (or equivalent experience in a technical product marketing role). Masters Degree preferred
5+ years of experience in silicon development or deployment in an engineering role, followed by 5+ years of experience in product management or technical product marketing of silicon
Deep technical understanding of modern data center architectures, accelerated computing, training, inference, HPC, and data analytics
Experience conducting technical competitive analysis and synthesizing key insights
Proven ability to work cross-functionally across engineering, product management, sales, and marketing teams
Strong communication, asset creation, and storytelling skills – ability to translate sophisticated technical concepts into clear, compelling narratives for both technical and business audiences

Responsibilities

Drive NVIDIA’s CPU technical go-to-market efforts
Work closely with engineering and product management teams to understand key technical capabilities of NVIDIA CPUs, C2C fabric, and full stack
Accelerate HPC and AI workloads
Review and remain up to date on silicon architectures, HPC and AI workloads, Arxiv, and technical whitepapers of AI developments and silicon trends
Align ecosystem trends with key features of NVIDIA CPUs for promotion
Develop crisp clear positioning, messaging, and assets to highlight NVIDIA’s leadership position on CPUs (blogs, whitepapers, presentations, analyst briefings, seminars at developer conferences)
Closely follow competitive CPU announcements and prepare appropriate responses for business and technical/developer audiences
Assist on building keynote slides for executives for areas that you’re a subject matter expert

Skills

Product Marketing

Technical Product Marketing

Silicon Development

Data Center Architectures

Accelerated Computing

AI Training

AI Inference

HPC

Competitive Analysis

Cross-functional Collaboration

Storytelling

Technical Communication

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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