# AI Engineer

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-AI-Engineer--AI-Safety_JR2029272-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/ai-engineer-80866c9d-6fd/

## Description

As an AI Engineer on our AI Safety Engineering team, you will have a key and adaptable role in scaling methods to secure and align advanced AI systems.

Your early work will center on architecting and developing the fundamental elements of our safety infrastructure, emphasizing autonomous automation cycles.

To operationalize these automated workflows, you will partner with Research and Model Development teams thereby delivering novel models for harm detection, content moderation, dynamic guardrails, post-training, and groundbreaking automated research pipelines that push the limits.

This role is built for a tenacious builder and an inquisitive problem solver.

### Responsibilities

- 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.

- 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.

### Requirements

- 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.

- Inquisitive Problem-Solving & Tenacity: A demonstrated ability to tackle open-ended, ambiguous problems.

- 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.

### Nice to Have

- 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.

### Benefits

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.

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## Skills

### Required
- Python
- Rust
- Machine Learning
- Software Engineering
- LLMs

### Nice to have
- Trust & Safety
- cybersecurity
- threat intelligence
- adversarial machine learning
- content moderation

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-AI-Engineer--AI-Safety_JR2029272-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)