Senior Technical Program Manager - LLM Safety

Nvidia Corporation in; Santa Clara (CA); On-site; USD 168,000 - 322,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA is seeking a Senior Technical Program Manager - LLM Safety (Finance) to lead cross-functional planning and execution for evaluation and tool use safety across Nemotron models. The role involves translating findings into mitigation plans with clear owners, dates, and success criteria.

You will establish governance for safety findings, manage multi-turn/evaluation programs, and build dashboards for executive reporting on coverage, risk, and release readiness.

Qualifications

• 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 and model evaluation frameworks.
• Familiarity with LLM development, post-training, inference, tool calling, and model-release lifecycles.
• Experience directing programs related to AI/ML development, agentic safety, security, content safety, hallucinations, and production releases.
• Familiarity with AI safety risks such as hallucinations, timely injection attacks, unsafe tool use, data poisoning, model manipulation, or unintended agent behavior.
• Ability to interpret technical evaluation findings and communicate implications to leadership.

Responsibilities

• Lead cross-functional planning and execution for evaluation identification, selection and execution focused on agentic-safety evaluations.
• Track execution, results for all evals, analysis, and mitigation plans with accountable owners and milestones.
• Lead end-to-end safety planning and execution for Nemotron models, including 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, multilingual, long-context, and reasoning model evaluations across use cases, domains, languages, modalities, and model releases.
• Establish governance for reviewing safety findings, severity, release impact, and risk acceptance decisions; document evidence and approvals.
• Build dashboards and executive reporting for evaluation coverage, critical findings, mitigation progress, residual risk, and release readiness.

Skills

LLM architecture

Eval planning

Cross-functional leadership

Executive reporting

Education

Bachelor's degree or equivalent experience

Job description

Senior Technical Program Manager - LLM Safety (Finance)

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 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 .

Applications for this job will be accepted at least until September 5, 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.