Senior AI Engineer, AI Safety

2100 NVIDIA USA; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits package

Competitive salary

Job summary

NVIDIA is seeking a senior ML/AI systems engineer to architect agentic automation loops, build safety and optimization models, and guide auto-research frameworks. You will work across safety evaluations, model testing, and production pipelines, using Rust or Python and PyTorch to deliver scalable solutions.

You will collaborate with researchers, platform engineers, and data scientists to bridge theoretical safety research with practical, automated systems, while contributing to cutting-edge AI

Qualifications

• Bachelor's or Master's in Computer Science, Machine Learning, Software Engineering, or related field.
• 8+ years of experience in ML engineering or software engineering.
• Agentic systems & automation with LLMs, multi-turn tool-calling, orchestration, and autonomous agent loops; strong proficiency in Rust or Python; PyTorch required.
• Demonstrated ability to tackle open-ended, ambiguous problems and own projects end-to-end.

Responsibilities

• Architect agentic automation loops spanning safety evaluations, red-teaming, model testing, post-training and ablations.
• Develop safety models for identifying harmful content and run-time guardrails.
• Pioneer auto-research frameworks using LLMs and autonomous agents to discover vulnerabilities and generate datasets.
• Scale innovative interventions into robust production-ready systems.

Skills

LLM orchestration

Python

Rust

ML engineering

Systems design

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

PyTorch

LangChain

AutoGPT

Semantic Kernel

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that’s fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

What You’ll Be Doing:

• Architect Agentic Automation: Compose, build, and deploy foundational agentic automation loops that streamline workflows spanning safety evaluations, red-teaming, model testing, model post-training and ablations.
• Develop Safety Models: Move from infrastructure automation towards training and implementing specialized systems for identifying harmful content, coordinating content quality, and run-time guard-railing.
• Pioneer Auto-Research: Build and guide automated research frameworks. These frameworks use LLMs and autonomous agents to discover new vulnerabilities. They also generate or augment safety datasets for benchmarking or training and propose novel alignment techniques.
• Scale Innovations: Take proof-of-concept safety interventions and research ideas and engineer them into robust, highly scalable solutions that integrate seamlessly into our production pipelines.
• Cross-Functional Execution: Partner closely with researchers, platform engineers, and data scientists to bridge the gap between theoretical AI safety research and practical, technically focused automated systems.

What We Need To See:

• Education: Bachelor's degree or Master's degree with equivalent experience in Computer Science, Machine Learning, Software Engineering, or a related field.
• Experience: Candidates should have a strong track record in ML engineering or software engineering with 8+ years of experience.
• Agentic Systems & Automation: Proven experience building complex, automated workflows using LLMs, including multi-turn tool-calling, orchestration, and autonomous agent loops. Strong engineering fundamentals include deep proficiency in one or more languages such as Rust or Python. Experience with machine learning frameworks like PyTorch is also required. The focus is on writing scalable, maintainable, and highly optimized code.
• Inquisitive Problem-Solving & Tenacity: A demonstrated ability to tackle open-ended, ambiguous problems. You must be willing to experiment, fail, iterate, and relentlessly pursue solutions.
• End-to-End Execution: The ability to own a project from the initial white-boarding of a research idea to the final deployment of a scalable production system.

Ways to Stand Out from the Crowd:

• Safety & Security Background: Prior domain experience in Trust & Safety, cybersecurity, threat intelligence, adversarial machine learning, or content moderation.
• Guardrails & Moderation: Hands-on experience developing, fine-tuning, or deploying models specifically built for harm detection, content safety (violence, hate, harassment, CBRNE, etc.) filtering, or run-time AI guardrails.
• Auto-Research Experience: Contributions to projects that use LLMs to automate coding, data synthesis, or scientific research tasks.
• Community & Collaboration: Active contributions to publicly available agent frameworks (e.g., LangChain, AutoGPT, Semantic Kernel) or AI safety benchmarking tools.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 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: 184,000 USD - 287,500 USD for Level 4; and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 10, 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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.