1 day ago
Base Salary
$224k - $431k/yr
Responsibilities
- Build autonomous and semi-autonomous LLM red team agents for reconnaissance, exploitation, and evidence capture.
- Extend multi-agent orchestration, specialist subagents, verification stages, and callback infrastructure across agent runtimes and model providers.
- Encode web, cloud, Kubernetes, and systems exploitation tradecraft into prompts, tools, and playbooks.
- Build exploit-confirmation and verification harnesses that reduce false positives.
- Engineer safety controls including sandboxing, scope enforcement, tool allowlists and blocklists, credential isolation, and prompt-injection defenses.
- Evaluate and benchmark frontier models for offensive security tasks and convert human red-team engagements into reusable agent capabilities.
- Mentor engineers and help set the technical bar for agentic offensive tooling.
Requirements
- Bachelor's degree or equivalent experience.
- At least 12 years of security engineering experience, including at least four years in penetration testing, red teaming, exploit development, or vulnerability research.
- Deep hands-on exploitation expertise in web applications, cloud/Kubernetes, or systems/binary security, including the ability to build and prove exploit chains.
- Strong production software engineering ability in Python.
- Practical experience building with LLMs, agent frameworks, tool use or function calling, multi-agent orchestration, or coding agents such as Claude Code or Codex CLI.
- Sound judgment regarding authorization, scope, and blast radius for autonomous offensive tooling.
- Preferred qualifications include published security research, CVEs, conference talks, notable CTF results, OSWE/OSEP/OSCP/GXPN certifications, SAST/DAST internals, fuzzing, program analysis, AI red teaming, AI-security research, Kubernetes/OpenShift, GitOps, or large-scale worker fleet operations.
Benefits
- Equity and a generous benefits package.
- Competitive salary; the posting provides separate base salary ranges for Level 5 and Level 6.
- Applications are accepted at least until September 6, 2026.
Tech Stack
Categories
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.