Senior Technical Program Manager, Deep Learning Initiatives

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 @ 4 Agentic Systems @ 4 Agile @ 6 CI/CD @ 6 Deep Learning @ 6 Distributed Systems @ 6 GPU @ 6 GenAI Generative AI @ 4 Git @ 6 GitHub @ 6 HPC Jira @ 6 Kubernetes @ 4 Marketing Security Software Development @ 8

Details

NVIDIA’s AI PMO team helps coordinate AI research, GPU infrastructure, and product execution. This role leads strategic AI programs across research, engineering, product, and business teams, supporting teams that build, train, evaluate, optimize, and deploy AI models on NVIDIA’s accelerated computing platform.

Responsibilities

Lead AI initiatives spanning research, software, hardware, infrastructure, product, quality, security, legal, operations, marketing, and developer relations.
Build roadmaps, achievement plans, 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.
Provide leaders with clear updates on progress, trade-offs, risks, and recommendations.

Requirements

10+ years of experience in technical program management, engineering program management, software development, or a related field.
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.

Preferred Qualifications

Experience leading AI platform, infrastructure, developer ecosystem, or product integration initiatives spanning several teams.
Experience 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.

Compensation and Benefits

Base salary range: $168,000–$258,750 USD for Level 4.
Base salary range: $200,000–$322,000 USD for Level 5.
Eligible for equity and benefits.
Salary is determined based on location, experience, and compensation for employees in similar positions.

Applications will be accepted at least until August 1, 2026. NVIDIA is an equal opportunity employer committed to an inclusive work environment.