# Senior Technical Program Manager

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Salary**: 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Technical-Program-Manager---LLM-Safety_JR2028686?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_61aad6d1-cc3

## Description

Join NVIDIA, a leader in technology, and work on AI safety at the forefront of innovation. You'll lead cross-functional planning and execution for evaluation identification, selection, and execution, focusing on agentic-safety evaluations.

**Responsibilities:**

- Lead cross-functional planning and execution for evaluation identification, selection, and execution, with a focus on agentic-safety evaluations, including multi-turn tool calls, unsafe tool use, unintended actions, excessive autonomy, and multi-step failures.

- Track execution, results for all evals, analysis, and the mitigation and research plans for improvement that will stem from results analysis.

- Translate evaluation findings into prioritized mitigation plans with accountable owners, committed dates, and measurable closure criteria.

- Lead end-to-end safety planning and execution for Nemotron models, including program scope, dependencies, risks, resources, and release-readiness criteria.

- Translate technical safety priorities into executable programs covering LLM security, frontier risks, agentic safety, hallucinations.

- Establish and track multi-turn, multi-modal, multi-lingual, long-context, and reasoning model evaluations across relevant use cases, domains, languages, modalities, and model releases.

- Establish governance for reviewing safety findings, assigning severity, determining release impact, and escalating unresolved risks.

- Build and maintain dashboards and executive reporting for evaluation coverage, critical findings, mitigation progress, residual risk, and release readiness.

**Requirements:**

- Bachelor's degree or equivalent experience in computer science, engineering, data science, or a related technical field.

- 10+ years of experience in technical program management, engineering, product development, technical operations, or a similar area.

- Strong understanding of LLM architecture, frameworks, and model evaluation.

- Familiarity with LLM development, post-training, inference, tool calls, evaluation datasets, and model-release lifecycles.

- Experience directing programs related to AI/ML development, model evaluation, agentic safety, security, content safety, hallucinations, and/or production releases.

- Familiarity with AI safety risks such as hallucinations, timely injection attacks, unsafe tool use, data poisoning, model manipulation, and unintended agent behavior.

- Experience supporting model-safety evaluations, Red Teaming, adversarial testing, security assessments, or responsible-AI programs.

- Ability to interpret technical evaluation findings and communicate their product, schedule, and release implications to leadership.

**Nice to Have:**

- Experience with LLM Agentic Safety, Security, Red Teaming, Hallucinations, adversarial assessment, or Responsible AI.

- Experience defining evaluation datasets, rubrics, benchmarks, and release gates.

- Ability to use evaluation results and data to make clear release recommendations and communicate residual risk to leadership.

- Experience crafting or operationalizing multi-turn, hallucination, adversarial, or agentic-safety evaluations.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits.

## Skills

### Required
- LLM architecture
- model evaluation
- technical program management
- engineering
- product development
- AI safety
- security
- content safety
- hallucinations

### Nice to have
- LLM Agentic Safety
- Red Teaming
- adversarial assessment
- Responsible AI

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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---LLM-Safety_JR2028686?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)