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.
#LI-Hybrid
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.
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.Skills Required
- 2+ years of relevant experience in product management, technical program management, partner engineering, developer relations, software engineering, or a related technical role
- Bachelor’s or master’s degree in computer science, engineering, data science, another technical field, or equivalent experience
- Working knowledge of the open-model ecosystem, including Hugging Face, PyTorch, Ollama, SGLang, or vLLM
- Ability to read, run, and make minor updates to Python code
- 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
- Strong collaboration and organizational skills, including managing multiple projects, deadlines, and dependencies
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
