Technical Program Manager - AI Labs

NVIDIA•Santa Clara, CA

1d•Hybrid

About The Position

NVIDIA is looking for a high-energy, organized Technical Program Manager (TPM) to serve as the "glue" between our AI Labs, internal cross-functional teams, and external partners. This role is about building the operational engine that allows the NVIDIA AI Labs team to run efficiently. You will lead the rhythm of the technical engagement, streamline communication, and ensure that leadership always has a pulse on our progress. Join NVIDIA at a crucial time as we pioneer Generative AI growth. We are in the infancy stage of building and scaling our Generative AI business for large model development. This role offers a unique opportunity to join this rapid expansion. NVIDIA's hardware, systems, and software libraries are at the heart of this growth. They empower large model builders to revolutionize their operations with powerful AI capabilities. This is your chance to be a key member of a team that will shape the future of AI model development, working with the world's leading AI research labs and the most innovative technologies. Your contributions will directly impact the trajectory of our Generative AI success, making this an unparalleled opportunity for professional growth and significant impact.

Requirements

12+ years in Program/Project Management, ideally within a high-growth tech environment or AI-focused organization.
B.S. degree or equivalent experience.
Familiarity with the AI/ML lifecycle (data labeling, training, inference, and deployment) is a significant plus.
Exceptional verbal and written skills; you should be able to explain a technical lag to a CEO and a business pivot to a researcher.
Power user of project management software and AI tools (Slack, Notion, Miro, etc.).
A "servant leader" mindset—you thrive on making others more productive.

Responsibilities

Lead the weekly forum between AI Labs and cross-functional teams (Product, Engineering, Design, QA).
Synthesize feedback, track open issues, and prioritize feature requests to ensure technical bottlenecks are cleared.
Ensure all internal teams are moving in the same direction.
Design and implement the formal process for how product teams engage with AI Labs (from initial request to model handoff).
Build the "operating system" for cross-functional collaboration, including standardized templates, documentation hubs, and communication channels.
Implement and maintain robust tracking systems (e.g., Jira, Linear, or Asana) to provide real-time updates on team velocity and health.
Oversee the transition of AI features from the lab environment into the production codebase, ensuring rigorous testing and deployment standards.
Translate complex technical updates into concise status reports and dashboards for leadership.
Proactively identify risks in the development cycle and present data-driven solutions to senior collaborators.