Senior Offensive Security Engineer, Vulnerability Operations
NVIDIA is hiring a Senior Offensive Security Engineer, Vulnerability Operations for a remote role open to applicants in United States. It pays $224k-$357k a year and Level rates it ; you can apply on Level.
AI in this role
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 scale
With 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.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.How we rate this
Senior Offensive Security Engineer, Vulnerability Operations at NVIDIA rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in cybersecurity jobs at this level
Pay
- This job starts at
- $224k
- Typical cybersecurity job
- $160k
This posting starts 40% above the typical cybersecurity job. See cybersecurity jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you decide that one model's output is better than another's for a given task?
- What are the limits of Claude that you've run into, and how did you work around them?
- What's a project where you used Claude Code hands-on?
- Walk me through how you've used Codex in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents, AI Evaluation, Claude, Claude Code, and Codex. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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