NVIDIA Corporation

Senior Offensive Security Engineer, Vulnerability Operations

NVIDIA Corporation$224K — $431K *
US-Anywhere
+ 4 other locationsRemote
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent experience
  • 12+ years in security engineering, with at least 4 years in offensive security
  • Hands-on exploitation skills in web application, cloud/Kubernetes, or systems/binary
  • Strong software engineering skills in Python
  • Practical experience building with LLMs and agent frameworks
  • Sound judgment about autonomous offensive tooling
  • Respectful approach to offensive testing

Responsibilities

  • Craft and build new red team agents for reconnaissance and exploitation
  • Extend existing agent harnesses across multiple runtimes and model providers
  • Encode operator tradecraft into tools and playbooks
  • Build verification harnesses to confirm exploit findings
  • Engineer safeguards for autonomous offensive capabilities
  • Evaluate frontier models for offensive tasks
  • Mentor engineers and set technical standards for tooling

Benefits

  • Eligibility for equity and benefits
  • Flexible work environment
  • Opportunities for professional development
  • Access to advanced tools and technologies
  • Collaborative and innovative team culture
Full Job Description
Senior Offensive Security Engineer, Vulnerability Operations

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


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 September 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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