Senior Offensive Security Engineer, Vulnerability Operations

Nvidia

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
CAAustin, TXVACODurham, NCSanta Clara, CA
Employment
Full-time
Posted
13 days ago
Freshness
Confirmed live yesterday

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Offensive Security Engineer, Vulnerability Operations

The Senior Offensive Security Engineer, Vulnerability Operations joins the Product Security organization to advance AI-driven offensive security. This role involves building and crafting autonomous and semi-autonomous LLM agents capable of performing reconnaissance, hypothesis-driven exploitation, and evidence capture against owned targets. You will extend agent harnesses across multiple runtimes, encode human tradecraft into prompts and playbooks for web app exploitation, and build verification layers to reduce false positives. Key responsibilities include engineering safety for autonomous tools through sandboxing and credential isolation, while benchmarking frontier models for offensive tasks. Required skills include 12+ years in security engineering, deep exploitation expertise in web, cloud, or systems domains, and production-level Python software engineering. You must have practical experience with LLM agent frameworks, multi-agent orchestration, and tool use.

What you'll do

  • Build autonomous and semi-autonomous LLM agents to perform reconnaissance, exploitation, and evidence capture.
  • Extend agent harnesses across multiple runtimes and model providers to support multi-phase orchestration.
  • Encode human red team tradecraft into prompts and tools for web, cloud, and Kubernetes attacks.
  • Develop exploit-confirmation harnesses to verify findings and reduce false-positive rates.
  • Engineer safety features including sandboxing, scope enforcement, and prompt-injection defenses for offensive agents.
  • Benchmark frontier models for offensive tasks and convert human red team engagements into repeatable agent capabilities.
  • Mentor engineers and set the technical bar for agentic offensive tooling.

What we're looking for

  • Bachelor's degree or equivalent experience.
  • 12+ years in security engineering, with at least 4 years in offensive security.
  • Deep, hands-on exploitation skill in web applications, cloud/Kubernetes, or systems/binary domains.
  • Strong software engineering ability in Python to ship production code.
  • Practical experience building with LLMs, including agent frameworks and multi-agent orchestration.
  • Published security research, CVEs, conference talks, or notable CTF results (preferred).
  • Certifications like OSWE, OSEP, OSCP, or GXPN (preferred).
  • Experience red-teaming AI systems or contributing to AI-security research (preferred).

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