Senior Technical Program Manager, Generative AI - job 1 of 2

At NVIDIA, we’re not just advancing AI, we’re orchestrating its evolution. Our Cosmos generative AI team works at the forefront of foundation model building, powering breakthroughs in video generation, intelligent agents, simulation, and synthetic data. We are hiring an experienced program manager who has hands-on experience in using these models to drive high-impact execution. If you thrive in very fast-paced environments, speak the language of generative AI, and can bring order to the frontier, we want to work with you.

What you'll be doing:

• 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.

What we need to see:

• We are looking for an 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.

• You will be the connective tissue across science, engineering, legal, and product functions, and translate technical realities into clear program achievements, risk assessments, and execution plans.

• 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.

• 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.

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, passionate and self-motivated, we'd like to hear from you! NVIDIA is cultivating a way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6.Applications for this job will be accepted at least until December 28, 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.