Senior AI Engineer, AI Safety
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Job Description
Senior AI Engineer building agentic automation, safety models, and guardrails at NVIDIA. Scaling AI safety research into production systems.
Responsibilities:
- Compose, build, and deploy foundational agentic automation loops for safety evaluations, red-teaming, model testing, model post-training, and ablations
- Train and implement specialized systems for harmful-content identification, content quality coordination, and run-time guard-railing
- Build and guide automated research frameworks using LLMs and autonomous agents to discover vulnerabilities
- Generate or augment safety datasets for benchmarking or training and propose novel alignment techniques
- Engineer proof-of-concept safety interventions and research ideas into robust, scalable production solutions
- Partner with researchers, platform engineers, and data scientists to connect AI safety research with practical automated systems
Requirements:
- Bachelor’s degree or Master’s degree with equivalent experience in Computer Science, Machine Learning, Software Engineering, or a related field
- 8+ years of experience in ML engineering or software engineering
- Proven experience building complex, automated workflows using LLMs, including multi-turn tool-calling, orchestration, and autonomous agent loops
- Deep proficiency in one or more languages such as Rust or Python
- Experience with machine learning frameworks like PyTorch
- Ability to tackle open-ended, ambiguous problems and experiment, fail, iterate, and pursue solutions
- Ability to own a project from initial white-boarding of a research idea to final deployment of a scalable production system
- Prior domain experience in Trust & Safety, cybersecurity, threat intelligence, adversarial machine learning, or content moderation
- Hands-on experience developing, fine-tuning, or deploying models for harm detection, content safety filtering, or run-time AI guardrails
- Contributions to projects using LLMs to automate coding, data synthesis, or scientific research tasks
- Active contributions to publicly available agent frameworks or AI safety benchmarking tools
Benefits:
- Equity
- Comprehensive benefits package
- Competitive salary
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