Job description

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! What you'll be doing: • 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. What we need to see: • 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. Ways to stand out from the crowd: • 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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 1, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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. #deeplearning

Requirements

Must-haves

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.
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.
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.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 1, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
#deeplearning

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagileci/cdjirakubernetes

Platform: eightfold
Effort: medium