Nvidia is assembling a dedicated AI safety and security engineering team, according to corporate job listings posted late last month. The initiative aims to address security vulnerabilities and safety risks associated with autonomous AI agents and open-weight models before widespread commercial deployment. Nvidia is recruiting an engineer to serve as the “founding technical leader” for the new team, alongside roles for a security research engineer, an evaluation engineer and a senior engineering manager. The division’s primary responsibility is evaluating autonomous AI agents prior to deployment, testing their operational limits and developing AI-powered security software to automatically detect and patch code vulnerabilities. One job description states the team’s mission is “rooted in the firm belief that open-weight models, transparency, and broad scientific scrutiny are foundational to American AI leadership and cybersecurity defense.” The internal safety push aligns with Nvidia’s public strategy advocating for open-weight AI development, positioning the company against closed ecosystems built by competitors like OpenAI and Anthropic. In a recent public letter to US policymakers, Nvidia CEO Jensen Huang urged government support for open AI models. Additionally, Nvidia recently became a founding member of the Open Secure AI Alliance, a consortium of 120 companies, including Microsoft, Palantir, SpaceX, and Hugging Face, focused on developing open-source security defenses for machine learning applications.