About The Position
What happens when AI research, GPU infrastructure, and product execution move together? NVIDIA’s AI PMO team helps make that possible. We are looking for a Senior Technical Program Manager to lead strategic AI programs across research, engineering, product, and business teams. We help teams turn sophisticated priorities into clear plans, aligned decisions, and measurable outcomes! This role supports teams building, training, evaluating, optimizing, and deploying sophisticated AI models on NVIDIA’s accelerated computing platform. We’re excited to add a program leader who can make this work clear, coordinated, and durable!
Requirements
- 10+ years of technical program management, engineering program management, software development, or related experience.
- Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent experience.
- Experience leading strategic programs across multiple business units, engineering teams, geographies, or corporate functions.
- Solid understanding of the AI development lifecycle, including model development, training, evaluation, inference, deployment, and support.
- Practical experience with deep learning frameworks, GPU-accelerated computing, distributed systems, modern software development practices, agile development, CI/CD, and tools such as Git, GitHub, GitLab, Jira, Aha!, or Confluence.
Nice To Haves
- Experience leading AI platform, infrastructure, developer ecosystem, or product integration initiatives spanning several teams.
- Experience working with foundation models, generative AI, multimodal models, agentic systems, or open-source AI communities.
- Knowledge of GPU architecture, distributed training, high-performance computing, Kubernetes, workload schedulers, cloud infrastructure, or data-center infrastructure.
Responsibilities
- Lead AI initiatives spanning research, software, hardware, infrastructure, product, quality, security, legal, operations, marketing, and developer relations.
- Build roadmaps, achievements, ownership models, governance plans, risk tracking, and success metrics.
- Partner with technical teams to align model development, training, inference, evaluation, GPU capacity, and production deployment.
- Support architecture and integration decisions while resolving cross-team dependencies.
- Share clear updates with leaders on progress, tradeoffs, risks, and recommendations.
Benefits
- equity
- benefits
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
