# Senior Technical Program Manager, GenAI and Models

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Technical-Program-Manager--GenAI-and-Models_JR2022028?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_31f82544-081

## Description

NVIDIA's Deep Learning Software team is looking for a Senior Technical Program Manager to lead programs across model pre-training, production RL runs, evaluation, and agentic AI infrastructure.

You will lead multi-functional programs across training frameworks, evaluation environments, agent and model runtimes, datasets, verifiers, and distributed training infrastructure.

Key responsibilities include:

- Partnering with AI researchers, engineering leaders, product, infrastructure, and QA teams to define roadmaps, achievements, release plans, and measurable success criteria.

- Coordinating 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:

- 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.

Nice to have:

- Experience supporting reinforcement learning, post-training, agentic AI, or large-scale model evaluation programs.

- Familiarity with PPO, GRPO, asynchronous RL, distributed inference, rollout generation, policy optimization, evaluation harnesses, verifiers, benchmark development, or reproducible experimentation.

- Knowledge of GPU infrastructure, distributed training, Kubernetes, workload schedulers, cluster capacity management, performance analysis, open-source contributor workflows, release readiness, or operational metrics.

You will also be eligible for equity and benefits.

## Skills

### Required
- technical program management
- engineering program management
- AI model lifecycle
- reinforcement learning
- GPU-accelerated distributed systems
- software releases
- open-source workflows
- CI/CD systems

### Nice to have
- post-training
- agentic AI
- large-scale model evaluation programs
- PPO
- GRPO
- asynchronous RL
- distributed inference
- rollout generation
- policy optimization
- evaluation harnesses
- verifiers
- benchmark development
- reproducible experimentation
- GPU infrastructure
- distributed training
- Kubernetes
- workload schedulers
- cluster capacity management
- performance analysis
- open-source contributor workflows
- release readiness
- operational metrics

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Technical-Program-Manager--GenAI-and-Models_JR2022028?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)