Senior Offensive Security Engineer, Vulnerability Operations

Nvidia

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Austin, TXDurham, NC
Salary
$224,000–$356,500 / yr
Posted
9 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k
This role $290k
$103k most similar roles pay here $384k

This role pays more than 99% of similar roles. Most pay $149,125–$203,125 — the shaded band above. At the midpoint, this role pays about $290k versus about $176k for comparable roles.

Based on 240 similar postings.

Employer

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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Offensive Security Engineer, Vulnerability Operations

Senior Offensive Security Engineer, Vulnerability Operations joins the Product Security organization to advance AI-driven offensive security capabilities. This role involves building and refining autonomous and semi-autonomous LLM agents that perform reconnaissance, hypothesis-driven exploitation, and evidence capture against internal targets. The engineer will expand existing agent harnesses across multiple runtimes, encode human tradecraft into prompts for web application, cloud, and Kubernetes attack paths, and develop verification layers to reduce false positives. Key responsibilities include engineering safety features like sandboxing and credential isolation while benchmarking frontier models for offensive tasks. Candidates must possess deep expertise in penetration testing, exploit development, or vulnerability research, alongside strong software engineering skills in Python. Required competencies include experience with LLM agent frameworks, tool use, and multi-agent orchestration to solve complex security challenges through automated, scalable offensive tooling.

What you'll do

  • Build autonomous and semi-autonomous LLM agents for reconnaissance, exploitation, and evidence capture against internal targets.
  • Expand existing agent harnesses across multiple runtimes and model providers to improve multi-phase orchestration.
  • Encode human red team tradecraft into prompts and tools for web, cloud, and Kubernetes attack paths.
  • Develop exploit-confirmation harnesses to verify findings and reduce false-positive rates before human review.
  • Engineer safety controls including sandboxing, scope enforcement, and prompt-injection defenses for autonomous agents.
  • Benchmark frontier models for offensive tasks by converting manual red team engagements into repeatable agent capabilities.
  • Mentor engineers and set the technical standards for agentic offensive security tooling.

What we're looking for

  • Bachelor's degree or equivalent experience.
  • 12+ years of experience in security engineering.
  • At least 4 years of experience in offensive security including penetration testing, red teaming, exploit development, or vulnerability research.
  • Deep, hands-on exploitation skills in web applications, cloud/Kubernetes, or systems/binary domains.
  • Strong software engineering ability to ship production code in Python.
  • Practical experience building with LLMs using agent frameworks, tool use, and multi-agent orchestration.
  • Experience red-teaming AI systems, including prompt injection and model evaluation.
  • Relevant certifications such as OSWE, OSEP, OSCP, or GXPN.

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