2 days ago
Base Salary
$152k - $242k/yr
Responsibilities
- Lead adoption of AI agents for security and identify manual workflows to automate.
- Develop agentic security workflows through production and drive adoption across engineering teams.
- Translate hardening flags, isolation mechanisms, and security invariants into automated per-release checks across firmware and user-mode software.
- Own and maintain the release security scanning pipeline and prioritize findings with product teams.
- Contribute to threat modeling, architecture reviews, vulnerability mitigation, and remediation.
Requirements
- 5+ years of security engineering experience with drivers, kernels, or firmware.
- Strong programming skills in Python and C.
- Hands-on experience building LLM agents or agentic workflows.
- Experience integrating tooling into CI/CD and release pipelines.
- Experience taking an internal tool from prototype to broad adoption without direct authority.
- Bachelor’s or master’s degree in Computer Engineering, Computer Science, or a related field.
Benefits
- Competitive base salary of $152,000-$241,500, plus equity and benefits.
- Comprehensive benefits package for employees and their families.
- Applications accepted at least until October 2, 2026.
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.
