Senior Offensive Security Engineer, Vulnerability Operations

NVIDIA Corporation; California City (CA); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Senior Offensive Security Engineer to push the frontier of AI-driven offense. You will craft autonomous red team agents, expand attack paths across web apps, cloud, and systems, and build robust verification harnesses to ensure findings are real before escalation.

Ideal candidates have 12+ years in security engineering, with 4+ years in offensive security; strong Python production skills; and experience building with LLMs and multi-agent orchestration.

Qualifications

• 12+ years in security engineering, with at least 4 years in offensive security
• Hands-on exploitation across web apps, cloud/Kubernetes, or systems/binary domains
• Strong software engineering ability in Python to ship production code
• Experience building with LLMs: agent frameworks, tool use, multi-agent orchestration
• Respectful, responsible approach to offensive testing with careful exploration and rapid fixes
• Experience with SAST/DAST internals, fuzzing, or program analysis
• Experience red-teaming AI systems or contributing to AI-security research
• Familiarity with Kubernetes/OpenShift, GitOps, and large-scale fleet operations

Responsibilities

• Develop new red team agents: autonomous and semi-autonomous LLM agents for reconnaissance, hypothesis-driven exploitation, and evidence capture
• Craft prompts, tools, and playbooks for web app exploitation, auth bypass, SSRF/deserialization, cloud and Kubernetes attack paths
• Build verification layers: exploit-confirmation harnesses to prove findings before humans see them
• Audit NVIDIA-owned targets and document attack findings clearly

Skills

Offensive security

Python programming

Red teaming

Exploit development

Cloud/Kubernetes security

LLM agent frameworks

Multi-agent orchestration

Production code delivery

Education

Bachelor's degree or equivalent experience

Tools

Kubernetes/OpenShift

GitOps

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. Your job is to make these agents meaningfully better attackers: new attack capabilities, new target classes, higher true-positive rates, and safer autonomy. 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

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

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)
• ~ Respectful, responsible approach to offensive testing — we break things carefully and fix them fast

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

If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 18, 2026. NVIDIA uses AI tools in its recruiting processes.

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.