2 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Architect, build, and deploy agentic automation loops for safety evaluations, red-teaming, model testing, post-training, and ablations.
- Develop and implement specialized models for harmful-content detection, content moderation, quality coordination, and runtime guardrails.
- Build automated research frameworks using LLMs and autonomous agents to discover vulnerabilities, generate safety datasets, and propose alignment techniques.
- Turn proof-of-concept safety interventions and research ideas into scalable solutions integrated with production pipelines.
- Own projects from research concept and prototyping through deployment of maintainable production systems.
- Collaborate with research, model development, platform engineering, and data science teams.
Requirements
- Bachelor’s or master’s degree in Computer Science, Machine Learning, Software Engineering, or a related field, with equivalent experience accepted.
- 8+ years of ML engineering or software engineering experience.
- Proven experience building complex LLM-based automated workflows involving multi-turn tool calling, orchestration, and autonomous agent loops.
- Deep proficiency in one or more programming languages such as Rust or Python.
- Required experience with machine learning frameworks such as PyTorch.
- Ability to solve ambiguous, open-ended technical problems and execute projects end to end.
- Preferred experience in Trust & Safety, cybersecurity, threat intelligence, adversarial machine learning, content moderation, harm detection, content safety filtering, or runtime AI guardrails.
- Preferred experience automating coding, data synthesis, or scientific research with LLMs, or contributing to frameworks such as LangChain, AutoGPT, Semantic Kernel, or AI safety benchmarking tools.
Benefits
- Competitive base salary and comprehensive benefits package.
- Eligible for equity and benefits.
- Base salary varies by location, experience, and other objective job-related factors; listed ranges are $184,000–$287,500 for Level 4 and $224,000–$356,500 for Level 5.
- Applications accepted at least until November 10, 2026; the posting is for an existing vacancy.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.