Senior Technical Program Manager, GenAI And Models

at Nvidia

USD 168,000-322,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 7 Agentic AI CI/CD @ 6 Deep Learning Distributed Systems @ 7 Experimentation @ 7 GPU @ 7 Git @ 6 GitHub @ 6 Jira @ 6 QA @ 4 Reinforcement Learning @ 7

Details

How do bold AI research ideas become diligent training, evaluation, and production systems? NVIDIA’s Deep Learning Software team is looking for a Senior Technical Program Manager to lead programs across model pre-training, production RL runs, evaluation, and agentic AI infrastructure.

We build the software foundations that help research and engineering teams train, evaluate, and deliver sophisticated AI models. We partner across research, platform engineering, distributed computing, evaluation, and open-source development to turn sophisticated technical goals into clear software plans. Come help us improve how sophisticated AI systems are built and validated!

Responsibilities

Lead multi-functional programs across training frameworks, evaluation environments, agent and model runtimes, datasets, verifiers, and distributed training infrastructure.
Partner with AI researchers, engineering leaders, product, infrastructure, and QA teams to define roadmaps, achievements, release plans, and measurable success criteria.
Coordinate large-scale RL training and evaluation experiments, including handling GPU resources, dependency tracking, run scheduling, results reporting, release readiness, technical decisions, integration plans, and program updates.

Requirements

Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent experience.
10+ years of technical program management, engineering program management, or related experience delivering sophisticated software platforms.
Experience leading global, matrixed programs across research, software engineering, infrastructure, QA, release teams, and partner groups.
Strong understanding of the AI model lifecycle, including training, post-training, evaluation, experimentation, production readiness, reinforcement learning concepts, and GPU-accelerated distributed systems.
Experience running software releases across repositories, dependencies, test configurations, quality gates, collaborator approvals, open-source workflows, CI/CD systems, and tools such as GitHub, Git, Jira, Linear, Aha!, or Confluence.