Senior Technical Program Manager, GenAI and Models

NVIDIA

Senior Technical Program Manager leading AI software programs across training and evaluation at NVIDIA. Collaborating with cross-functional teams to deliver sophisticated AI model systems.

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 technical program management, particularly in leading multi-functional programs related to AI model lifecycles and distributed training infrastructure. Proficient in coordinating large-scale experiments and managing software releases across various teams and tools.

Highest-signal resume keywords

Technical Program ManagementAI Model Lifecycle UnderstandingReinforcement Learning ConceptsGPU-Accelerated Distributed SystemsCI/CD Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Program ManagementSoftware DevelopmentAI Model TrainingEvaluation ExperimentationDependency TrackingResults ReportingIntegration PlanningRelease ReadinessQuality GatesOpen-Source Workflows

Soft Skills

CollaborationLeadershipCommunication

Tools & Technologies

GitHubGitJiraLinearAha!Confluence

Industry Keywords

Technical FieldMatrixed ProgramsGlobal ProgramsSoftware PlatformsTraining Frameworks

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

Lead multi-functional programs across training frameworks, evaluation environments, agent and model runtimes, datasets, verifiers, and distributed training infrastructure.
Partner with AI researchers, engineering leaders, product, infrastructure, and QA teams to define roadmaps, achievements, release plans, and measurable success criteria.
Coordinate large-scale RL training and evaluation experiments, including handling GPU resources, dependency tracking, run scheduling, results reporting, release readiness, technical decisions, integration plans, and program updates.

Requirements

What you’ll need

Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent experience.
10+ years of technical program management, engineering program management, or related experience delivering sophisticated software platforms.
Experience leading global, matrixed programs across research, software engineering, infrastructure, QA, release teams, and partner groups.
Strong understanding of the AI model lifecycle, including training, post-training, evaluation, experimentation, production readiness, reinforcement learning concepts, and GPU-accelerated distributed systems.
Experience running software releases across repositories, dependencies, test configurations, quality gates, collaborator approvals, open-source workflows, CI/CD systems, and tools such as GitHub, Git, Jira, Linear, Aha!, or Confluence.

Benefits

Comp & perks

equity
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