Opportunity AI Engineering work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
aimlroles

Senior Technical Program Manager - LLM Safety

NVIDIA nvidia.com Open · verified Nov 1, 2026
US, CA, Santa Clara Full-time Senior AI Engineering

At a glance

Senior AI Engineering role at NVIDIA. US, CA, Santa Clara · full-time.

In listing AI Engineering salary

RoleAI Engineering
SenioritySenior
LocationUS, CA, Santa Clara
EmploymentFull-time
PostedOct 30, 2026 · 2d ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Run cross-team planning for agent-safety tests, including multi-turn tool use, unintended actions and failures across steps
  • Monitor test outcomes and convert findings into mitigation work with owners, target dates and clear completion measures
  • Direct Nemotron safety programs from scope and dependencies through risk management, resourcing and launch criteria
  • Set up model checks across languages, formats, long contexts and reasoning, then govern findings and unresolved risks
  • Build dashboards and leadership reports covering test coverage, major findings, mitigation status, residual risk and launch readiness

What you bring

  • A degree in computer science, engineering, data science or a related technical area, or equivalent practical experience
  • At least ten years working in technical program leadership, engineering, product development, technical operations or a comparable area
  • Strong command of LLM architecture, evaluation methods and frameworks such as OpenAI, Anthropic or Hugging Face
  • Familiarity with LLM creation, post-training, inference, tool use, evaluation datasets and model release processes
  • Experience overseeing AI/ML programs or contributing to model safety testing, red teaming, security reviews or responsible AI initiatives

Who this fits

This senior role suits you if you can turn technical evaluation results into product, schedule and release decisions. You’ll coordinate safety planning and execution for Nemotron models, including governance and release readiness.

From the employer

At NVIDIA, we redefine what’s possible in digital imaging, personal computer gaming, and high-performance computing. Now, we lead the charge into AI’s unlimited potential. Our GPUs act as the brains of computers, robots, and self-driving cars. They enable these machines to understand and interact with the world in new ways. This is your chance to join a legacy of innovation and excellence. Work with the world’s best talent in a diverse and encouraging environment. Join us and make a lasting impact on the world!


This is an ambitious opportunity to work at the forefront of AI safety and contribute to groundbreaking advancements in technology.


What You’ll Be Doing:

  • Lead cross-functional planning and execution for evaluation identification, selection and execution. With a focus on agentic-safety evaluations, including multi-turn tool calling, 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. Ensure required safety evidence, approvals, exceptions, and risk-acceptance decisions are documented before release. Identify program gaps and critical dependencies early and drive decisions, escalations, recovery plans, and corrective actions.
  • Build (with AI for Code/AI for Work) and maintain dashboards and executive reporting for evaluation coverage, critical findings, mitigation progress, residual risk, and release readiness.

What we need to see:

  • 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 (e.g., OpenAI, Anthropic, Hugging Face), and model evaluation.
  • Familiarity with LLM development, post-training, inference, tool calling, 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.

Ways to stand out from the crowd:

  • 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.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Autonomous Vehicles or Robotics. If you're a creative Senior Technical Program Manager who embraces autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
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.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Opportunity

AI Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

AI Engineering

Find me work

By the team behind aimlroles.

Find me work
Opportunity

AI Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind aimlroles.