Senior Technical Program Manager, Deep Learning Initiatives
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!
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.
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.
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.
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- How much does the Senior Technical Program Manager, Deep Learning Initiatives at NVIDIA pay?
- The posting lists a range of $168K–$322K per year. Ranges reflect what NVIDIA publicly declared on the source posting.
- Where is this Senior Technical Program Manager, Deep Learning Initiatives role based?
- The role is based in US, CA, Santa Clara.
- What experience does NVIDIA expect for this role?
- The posting is tagged as a senior-level role, typically 5+ years of experience. Check the requirements section for specifics.
- How was this posting sourced?
- This role was pulled directly from NVIDIA's Workday careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
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