Senior Technical Program Manager, Deep Learning Initiatives

NVIDIA

Senior Technical Program Manager leading strategic AI programs across research, engineering, and product teams at NVIDIA. Focused on aligning sophisticated priorities into clear plans and measurable outcomes.

Posted 7/29/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $168,000 - $258,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in leading AI initiatives, managing technical programs, and collaborating across multiple business units. Proficient in the AI development lifecycle, including model development, deployment, and integration with a strong focus on strategic program leadership.

Highest-signal resume keywords

Technical Program ManagementAI Development LifecycleDeep Learning FrameworksGPU-Accelerated ComputingAgile Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentModel DevelopmentTrainingEvaluationInferenceDeploymentRisk TrackingSuccess MetricsDistributed SystemsHigh-Performance Computing

Soft Skills

LeadershipCommunicationCollaborationStrategic ThinkingProblem Solving

Tools & Technologies

GitGitHubGitLabJiraAha!ConfluenceKubernetesCloud InfrastructureWorkload SchedulersData-Center Infrastructure

Industry Keywords

AI InitiativesGenerative AIFoundation ModelsMultimodal ModelsOpen-Source AI Communities

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetes

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

equity
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