Senior AI Engineer, AI Safety

Details

NVIDIA is seeking an AI Engineer to join its AI Safety Engineering team and help scale methods for securing and aligning advanced AI systems. The role focuses on architecting safety infrastructure, developing autonomous automation cycles, and partnering with Research and Model Development teams to deliver models for harm detection, content moderation, dynamic guardrails, post-training, and automated research pipelines.

Responsibilities

• Architect, build, and deploy agentic automation loops for safety evaluations, red-teaming, model testing, model post-training, and ablations.
• Develop specialized systems for harmful-content identification, content quality coordination, and runtime guardrails.
• Build automated research frameworks that use LLMs and autonomous agents to discover vulnerabilities, generate or augment safety datasets, benchmark and train models, and propose alignment techniques.
• Engineer proof-of-concept safety interventions and research ideas into robust, scalable solutions integrated with production pipelines.
• Partner with researchers, platform engineers, and data scientists to translate AI safety research into practical automated systems.
• Own projects from initial research ideation and whiteboarding through deployment of scalable production systems.

Requirements

• Bachelor's or master's degree, or equivalent experience, in Computer Science, Machine Learning, Software Engineering, or a related field.
• At least 8 years of experience in machine learning 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 programming languages such as Rust or Python.
• Experience with machine learning frameworks such as PyTorch.
• Ability to write scalable, maintainable, and highly optimized code.
• Demonstrated ability to solve open-ended and ambiguous problems through experimentation and iteration.

Preferred Qualifications

• Experience in Trust and 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 runtime AI guardrails.
• Experience using LLMs to automate coding, data synthesis, or scientific research tasks.
• Contributions to publicly available agent frameworks such as LangChain, AutoGPT, or Semantic Kernel, or to AI safety benchmarking tools.

Benefits

NVIDIA offers competitive salaries, equity, and a comprehensive benefits package.

The expected base salary ranges are USD 184,000–287,500 for Level 4 and USD 224,000–356,500 for Level 5. Applications will be accepted at least until November 10, 2026.