NVIDIA is the defining technology company of the Artificial Intelligence era. Our outstanding legacy of innovation is powered by extraordinary technology—and outstanding people. We are in search of a Senior Technical Product Manager to join our team and help steer the future of Agentic AI. This role is part of the NVIDIA Enterprise Product Group. We are focused on building end-to-end platforms and solutions that seamlessly integrate NVIDIA's full stack with the rapidly evolving AI agent ecosystem.
You will be a senior leader on the product team responsible for foundational products like the NeMo Agent toolkit and the AI-Q Blueprint.
What you'll be doing:
- AI is applied by various teams at NVIDIA to tackle intricate business and engineering challenges on a large scale. You will collaborate across functions to uncover new AI solutions developed internally at NVIDIA and adapt them into enterprise offerings for customers.
- This is a deeply technical role. Part of every day should be spent keeping pace with technology changes. Everyone has a different learning style. Whether its rapid prototyping, talking to experts, or hands-on-keyboard development and test, we will support your self-directed learning.
- Our goal is for you to gain recognition as a leading figure in the AI agent field, both within NVIDIA and externally! This can be accomplished through publishing content, conducting presentations, and engaging with software communities.
- You will collaborate closely with internal teams, software ecosystem partners, and the broader open-source agent community to outline shared initiatives. We consider customer feedback crucial for prioritizing features and assessing creative tradeoffs.
- Clear communication is the essence of leadership. As a product leader, you will author requirements documents that project a desired future state. Then, you will work with engineering and program management to develop product roadmaps for delivering new features.
- Finally, a product manager makes decisions. You will make informed product decisions based on experience, research, and intuition.
What we need to see:
- Experience with generative AI technologies and approaches including training, inference, customization, and evaluation.
- Proficient knowledge of the AI agent landscape, encompassing open-source frameworks, agent structures, and ISV offerings.
- Familiarity with LLM agents, tool calling, APIs, and output schema.
- Experience with LLM and RAG optimization techniques such as model fine-tuning, retrieval re-ranking, query expansion, prompt engineering, etc.
- Familiarity with the concerns of developers deploying production software: security, identity, telemetry, data governance.
- BS or MS in Computer Science, Electrical Engineering, or equivalent experience.
Ways to stand out from the crowd:
- Hands-on experience architecting multi-step, tool-using LLM agents to automate complex research workflows, including data interrogation, hypothesis validation, and evidence synthesis from diverse sources.
- Evidence of recent research publications and/or contributions to open-source agent frameworks.
- Ability to reduce complexity to simplicity, especially when explaining agentic workflows.
- Experience with NVIDIA technologies, particularly NeMo, NIM, or Triton Inference Server.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 30, 2025.NVIDIA is committed to fostering a diverse 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.
