{"id":3343252,"url":"https://alion.io/job/nvidia-senior-technical-program-manager-llm-safety-2","title":"Senior Technical Program Manager - LLM Safety","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":774,"ghost_share":0.022,"stale_share":0.69,"repost_share":0.04,"time_to_fill_p50_days":38,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":168000,"max":258750,"currency":"USD","period":"year","gross":null,"usd_annual":258750},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"Function Calling","optional":false},{"name":"Hallucination","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenAI","optional":false},{"name":"Post-training","optional":false},{"name":"Red Teaming","optional":false}],"status":"live","first_seen_at":"2026-10-26T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-30T07:21:10Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"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!\nThis is an ambitious opportunity to work at the forefront of AI safety and contribute to groundbreaking advancements in technology.\nWhat You’ll Be Doing:\nLead 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.\nTrack 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 \nLead end-to-end safety planning and execution for Nemotron models, including program scope, dependencies, risks, resources, and release-readiness criteria.\nTranslate technical safety priorities into executable programs covering LLM security, frontier risks, agentic safety, hallucinations\nEstablish and track multi-turn, multi-modal, multi-lingual, long-context, and reasoning model evaluations across relevant use cases, domains, languages, modalities, and model releases.\nEstablish 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.\nBuild (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.\nWhat we need to see:\nBachelor’s degree or equivalent experience in computer science, engineering, data science, or a related technical field.\n10+ years of experience in technical program management, engineering, product development, technical operations, or a similar area.\nStrong understanding of LLM architecture, frameworks (e.g., OpenAI, Anthropic, Hugging Face), and model evaluation.\nFamiliarity with LLM development, post-training, inference, tool calling, evaluation datasets, and model-release lifecycles.\nExperience directing programs related to AI/ML development, model evaluation, agentic safety, security, content safety, hallucinations, and/or production releases.\nFamiliarity with AI safety risks such as hallucinations, timely injection attacks, unsafe tool use, data poisoning, model manipulation, and unintended agent behavior.\nExperience supporting model-safety evaluations, Red Teaming, adversarial testing, security assessments, or responsible-AI programs.\nAbility to interpret technical evaluation findings and communicate their product, schedule, and release implications to leadership.\nWays to stand out from the crowd:\nExperience with LLM Agentic Safety, Security, Red Teaming, Hallucinations, adversarial assessment, or Responsible AI.\nExperience defining evaluation datasets, rubrics, benchmarks, and release gates.\nAbility to use evaluation results and data to make clear release recommendations and communicate residual risk to leadership.\nExperience crafting or operationalizing multi-turn, hallucination, adversarial, or agentic-safety evaluations.\nWith 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.\nYour 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.\nApplications for this job will be accepted at least until October 30, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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