NVIDIA · 2 weeks ago
Senior Technical Program Manager, Generative AI
Santa Clara, CA
Full-time
Onsite
Senior Level, Lead/Staff
$232K/yr - $368K/yr
12+ years expNVIDIA is advancing AI through its Cosmos generative AI team, focusing on foundation model building for video generation and intelligent agents. They are seeking a Senior Technical Program Manager to drive execution across various teams and manage the lifecycle of generative AI models.
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Responsibilities
Drive multi-functional execution across Research Scientists, Research Engineers, Product, Marketing and Legal, acting as the glue to ensure alignment and high velocity
Lead generative-AI model building, including model training, post-training, optimization, and release to internal and external users
Coordinate and drive open source releases on platforms like GitHub and Hugging Face, ensuring quality, traceability, and findability
Collaborate with Legal to ensure all datasets, code, and models are licensed for commercial use and open source distribution
Supervise the model lifecycle and its dependencies (e.g., datasets, checkpoints, licenses) and maintain compliance documentation
Enable internal NVIDIA teams and early adopters with early access to models and tools; bring together and synthesize feedback to advise roadmap and product iteration
Qualification
Required
Outstanding technical program manager with a consistent record driving sophisticated, cross-functional AI initiatives across research, engineering, and product teams
Hands-on experience running generative AI models —whether LLMs, diffusion models, or VLMs/VLAs—along with a working understanding of their inputs, outputs, failure modes, and performance bottlenecks
Comfortable working in Python, using tools like Hugging Face, PyTorch, Docker, or similar frameworks to evaluate models, run inference, and understand code-level artifacts (e.g., config files, training checkpoints)
Familiarity with the full lifecycle of foundation model development: data curation, training, post-training (e.g., distillation, quantization), evaluation, and deployment
Ability to translate technical realities into clear program achievements, risk assessments, and execution plans
Excellent communication and leadership skills are essential—you should be able to influence at all levels, from individual contributors to VPs
BS or MS in Computer Science, Engineering, Applied Math, or a related technical field or equivalent experience in an engineering or research role
12+ years of relevant experience, including at least 5 years leading technical programs in ML, AI, or applied research domains
Preferred
Experience leading open-source or externally-released model artifacts (e.g., GitHub, Hugging Face, licensing, model cards, compliance metadata) is highly valued
Strong understanding of AI licensing, model/data provenance, and traceability systems is a major plus
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
2026-01-11
2026-01-11
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