Product Manager - Open Models at NVIDIA

Beijing, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

7+ years of meaningful work experience in product management or technical partner management
BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus
Knowledge of the community model ecosystem, including Hugging Face, PyTorch, and inference frameworks like Ollama, SGLang, and vLLM
Comfortable reviewing Python code used in presentations, demos, and articles
Comfortable with digital marketing and social media
Excellent written and spoken communication skills, including strong Microsoft products and markdown skills, with the ability to translate between partner requirements and internal priorities
Ability to thrive in a cross-functional organization, by collaborating with peers across teams and functions
Deep organizational skills, capable of balancing multiple projects at the same time

Responsibilities

Collaborating with community model builders to ensure seamless model support, early access collaboration, and go-to-market alignment
Tracking emerging trends in the open model space and assess technical differentiators and ecosystem impact of new releases
Supporting product marketing in crafting model-specific messaging and documentation - including blogs, whitepapers, case studies, and presentations, highlighting NVIDIA’s optimizations and software tools
Collaborating closely with internal engineering, infrastructure, and developer experience teams to enable best-in-class support for open models across inference, fine-tuning, and evaluation
Facilitating feedback loops between our platform and model builders to continuously improve performance, usability, and compatibility
Work with executives to launch new products and support keynotes

Skills

Product Management

Python

PyTorch

Hugging Face

Ollama

SGLang

vLLM

Markdown

Digital Marketing

Social Media

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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