Senior Offensive Security Engineer, Vulnerability Operations

NVIDIA Corporation; Austin (TX); On-site; USD 224,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA Corporation is seeking a Senior Offensive Security Engineer within its Product Security organization in Austin, Texas. You will advance AI-driven offensive security by building autonomous red team agents, extending multi-agent harnesses, and encoding operator tradecraft into prompts, tools, and playbooks.

You will mentor engineers, evaluate frontier models, and shape safety with sandboxing and scope controls.

Qualifications

• Bachelor's degree or equivalent experience.
• 12+ years in security engineering with 4+ years in offensive security.
• Deep, hands-on exploitation skill in at least one domain.
• Strong Python software engineering ability; ship production code.
• Experience building with LLMs: agent frameworks, multi-agent orchestration.
• Judgment on autonomous offensive tooling: scoping and blast radius.
• Responsible approach to offensive testing; safe and fast fixes.

Responsibilities

• Craft and build new red team agents: autonomous and semi-autonomous LLM agents.
• Extend our agent harnesses across runtimes and model providers.
• Encode operator tradecraft into prompts, tools, and playbooks.
• Build verification layers to prove findings before human review.
• Develop safety controls: sandboxing, allowlists, credential isolation.
• Benchmark frontier models and mentor engineers on the team.

Skills

Python

Penetration testing

Red teaming

Exploit development

Vulnerability research

LLM agents

Education

Bachelor's degree or equivalent experience

Tools

Git

Kubernetes

OpenShift

Job description

NVIDIA's Product Security organization is looking for a Senior Offensive Security Engineer to push the frontier of AI-driven offensive security. We already run language model agents that audit source code and attack live web applications at fleet scale. These include multi-agent orchestration, adversarial verification, exploit-confirmation harnesses, and sandboxed execution. Your job is to make these agents meaningfully better attackers: new attack capabilities, new target classes, higher true-positive rates, and safer autonomy. This is a hands-on role for someone who is both a strong offensive security practitioner and a builder of agentic systems. Join us!**What you'll be doing:*** Crafting and building new red team agents: autonomous and semi-autonomous LLM agents that perform reconnaissance, hypothesis-driven exploitation, and evidence capture against NVIDIA-owned targets* Extending our existing agent harnesses (multi-phase orchestration, parallel specialist subagents, judge/verifier stages, out-of-band callback infrastructure) across multiple agent runtimes and model providers* Encoding real operator tradecraft into prompts, tools, and playbooks — web app exploitation, auth bypass, SSRF/deserialization chains, cloud and Kubernetes attack paths — so agents find what a skilled human would* Building the verification layer: exploit-confirmation harnesses that prove findings are real before a human ever sees them, driving false-positive rates down* Engineering the safety side of autonomy: sandboxing, scope enforcement, tool allowlists/blocklists, credential isolation, and prompt-injection defenses for agents operating with offensive capability* Evaluating and benchmarking frontier models for offensive tasks; partnering with our human red team to turn their engagements into repeatable agent capabilities* Mentoring engineers on the team and setting the technical bar for agentic offensive tooling**What we need to see:*** Bachelor's degree or equivalent experience* 12+ years in security engineering, with at least 4 years in offensive security: penetration testing, red teaming, exploit development, or vulnerability research* Deep, hands-on exploitation skill in at least one domain (web application, cloud/Kubernetes, or systems/binary) — you can build and prove an exploit chain, not just run a scanner* Strong software engineering ability in Python; you ship production code, not just PoCs* Practical experience building with LLMs: agent frameworks, tool use/function calling, multi-agent orchestration, or coding agents (Claude Code, Codex CLI, or similar)* Sound judgment about autonomous offensive tooling — scoping, authorization, and blast-radius thinking are second nature* Respectful, responsible approach to offensive testing — we break things carefully and fix them fast**Ways to stand out from the crowd:*** Published security research, CVEs, conference talks, or notable CTF results* Certifications like OSWE, OSEP, OSCP, or GXPN* Experience with SAST/DAST internals, fuzzing, or program analysis* Experience red-teaming AI systems themselves (prompt injection, jailbreaks, model evaluation) or contributing to AI-security research* Familiarity with Kubernetes/OpenShift, GitOps, and operating worker fleets at scaleWith competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 18, 2026.