Product Marketing Manager - HPC and AI at the Edge

California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Biotechnology, Artificial Intelligence, High-Performance Computing, Scientific InstrumentsIndustries

Requirements

Candidates must possess an MS or PhD in electrical engineering, computer science, or equivalent experience, with over 5 years in product marketing, technical writing, and go-to-market plan execution. They need spectacular written, verbal, and visual communication skills, and a strong record of collaboration across engineering, product, and marketing teams. Standing out involves formal experience in a technical field like physics, engineering, or computer science, a consistent track record in product marketing for sensor processing solutions in scientific computing, aerospace and defense, or industrial markets, deep technical experience with real-time instruments, and a conceptual understanding of GPUs.

Responsibilities

The Product Marketing Manager will own and execute go-to-market plans, including platform messaging, positioning, and differentiation for AI computational instruments. They will architect creative and compelling technical marketing content such as blog posts, demos, customer success stories, and white papers to highlight the Holoscan platform's value proposition and drive adoption. This role involves collaborating across marketing, product, field, and engineering teams to promote a foundational vision and strategy for the Holoscan platform, including its shared benefits and use cases. Additionally, they will cultivate feedback from the industry, developers, and customers, sharing critical insights with the product team.

Skills

Product Marketing

Go-to-Market Strategy

Messaging

Positioning

Content Development

Technical Marketing

HPC

Scientific Computing

Sensor Processing

Holoscan

Storytelling

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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