Senior AI Safety Engineer — Agentic Automation & Safe Models

Nvidia Corporation in; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA is seeking an experienced ML engineer to architect and deploy agentic automation loops across safety evaluations, model testing, and production pipelines. You will collaborate with researchers, platform engineers, and data scientists to scale automated workflows using LLMs and autonomous agents.

Requirements include a Master's or BS with equivalent experience in CS/ML, 8+ years in ML or software engineering, and strong Python or Rust skills with PyTorch experience.

Qualifications

• Education: Bachelor's or Master's in Computer Science, ML, or related field.
• Experience: 8+ years in ML or software engineering.
• Agentic Systems & Automation: building automated workflows with LLMs and agent loops.
• Inquisitive problem-solving with willingness to experiment and iterate on solutions.
• End-to-End execution from idea to scalable production deployment.

Responsibilities

• Architect, build, and deploy agentic automation loops spanning safety evaluations, red-teaming, and model testing.
• Develop safety models for identifying harmful content and run-time guardrails.
• Pioneer auto-research frameworks using LLMs and autonomous agents to discover vulnerabilities.
• Scale research ideas into robust production pipelines integrated with existing systems.
• Collaborate with researchers, platform engineers, and data scientists across teams.

Skills

LLM engineering

Python

Rust

PyTorch

Software engineering

Agentic automation

Problem solving

End-to-End execution

Education

Bachelor's or Master's in Computer Science / ML

Tools

LangChain

AutoGPT

Semantic Kernel

PyTorch

Python

Rust

Job description

NVIDIA is seeking an experienced ML engineer to architect and deploy agentic automation loops across safety evaluations, model testing, and production pipelines. You will collaborate with researchers, platform engineers, and data scientists to scale automated workflows using LLMs and autonomous agents.

Requirements include a Master's or BS with equivalent experience in CS/ML, 8+ years in ML or software engineering, and strong Python or Rust skills with PyTorch experience.