Product Manager - Open Models

Ready to help developers and researchers get more from open AI models? At NVIDIA, our team improves support for leading community models such as Nemotron, Llama, Gemma, DeepSeek, and Qwen. As a Product Manager for Open Models, you will help coordinate model enablement, developer experiences, technical content, and product launches across NVIDIA’s accelerated computing platform.

You will work alongside experienced product managers, engineers, model builders, and product marketing teams. This role is ideal for someone early in their product-management career who has a strong technical foundation, enjoys working across teams, and is excited about the open-model ecosystem.

What you’ll be doing:

• •Support collaboration with community model builders around model access, technical enablement, launch readiness, and go-to-market activities.
• •Track emerging open-model releases and summarize their capabilities, technical differentiators, hardware requirements, and ecosystem impact.
• •Maintain product requirements, launch plans, readiness checklists, and supporting documentation for assigned models.
• •Partner with engineering, infrastructure, and developer-experience teams to support open models across inference, fine-tuning, evaluation, and deployment.
• •Gather feedback from model builders and developers, identify recurring issues, and translate findings into actionable product requirements.
• •Review and test developer workflows, sample applications, notebooks, and Python code used in demonstrations and technical content.
• •Collaborate with product marketing on blogs, documentation, presentations, case studies, and social-media content.
• •Support product announcements, demonstrations, keynote materials, and other high-visibility launches while working onsite at least three days per week.

What we need to see:

• •2+ years of relevant experience in product management, technical program management, partner engineering, developer relations, software engineering, or a related technical role.
• •BS or MS in computer science, engineering, data science, or another technical field—or equivalent experience.
• •Working knowledge of the open-model ecosystem, including tools such as Hugging Face, PyTorch, Ollama, SGLang, or vLLM.
• •Ability to read, run, and make minor updates to Python code used in notebooks, demonstrations, documentation, or technical articles.
• •Familiarity with generative-AI concepts, including inference, fine-tuning, evaluation, model deployment, and GPU acceleration.
• •Experience contributing to technical documentation, presentations, blogs, tutorials, product materials, or social-media content.
• •Strong written and verbal communication skills, with the ability to translate technical information into clear requirements and updates.
• •Strong collaboration and organizational skills, with the ability to manage multiple defined projects, deadlines, and dependencies.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.

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Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 184,000 USD for Level 2, and 148,000 USD - 224,250 USD for Level 3.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until September 25, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.