Senior AI Security Engineer
在 NVIDIA,我们是人工智能的管理员。代理人现在成为网络安全的一个关键组成部分，NVIDIA 合作制定标准。随着模型功能增加和网络安全景观发展，我们需要能够无地界面人类，模型和计算机文物之间的代理人来建立安全环境。我们的 NVIDIA 的 Agentic & AI 网络安全研究团队正在寻找一名高级工程师。这项实践角色适合那些将复杂的问题和基本原型转化为实际解决方案的人。他们与研究，安全，产品和合作伙伴团队一起构建持久的代码基础。你会做什么：· 建立领先的软件，以加速和改善人工智能网络安全工具。· 与研究团队和产品团队密切合作，负责开发研究代码成产品的阿尔法版本。· 快速确定对模糊的安全和身份问题最具价值 MVP,原型解决方案，与合作伙伴团队验证它们，并转向生产准备服务。· 发展可重复使用技能，CLI 工具，API 和集成模式，帮助内部团队在企业工具和平台上采用安全代理方法。·与企业安全，产品安全，企业人工智能，企业产品及相关平台团队密切合作，将架构与实际工作流动需求和运营限制相一致。我们需要看到的是：·计算机科学或相关领域的学士学位或士学位或同等经验。·软件工程，安全工程或相关领域8年以上，包括实践技术领导力。·优秀的软件工程技能，包括在各种编程环境中设计和建造后端服务，API,自动化或平台组件。根据需要，该角色需要快速学习新的范式，框架和工具。· 多贡献者软件项目和长期的软件项目经验。· 与建筑代理，人工智能工具和架构熟悉。· 制问题空间，定义 MVP,快速原型设计和发展到生产系统中的想法记录。· 对攻击性安全，对抗性思维，红色团队或攻击途径分析的熟悉，能够将这种观点应用于建筑决策和安全妥协。·灵活性和愿意经常合作。
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At NVIDIA, we are stewards of AI. Agents are now a crucial part of cybersecurity where NVIDIA collaborates to set the standard. As model functionality increases and the cybersecurity landscape evolves, we need agents that can seamlessly interface between humans, models, and computing artifacts to build secure environments.
Our Agentic & AI Cybersecurity Research team at NVIDIA is seeking a Senior Engineer. This hands-on role suits someone who transforms sophisticated problems and basic prototypes into practical solutions. They work with research, security, product, and partner teams to build lasting code bases.
What you will be doing:
- Building leading software ahead of the curve to accelerate and improve cybersecurity tooling for AI.
- Collaborating closely with research teams and product teams to be responsible for development of research code into alpha versions of products.
- Rapidly identifying the highest-value MVP for ambiguous security and identity problems, prototyping solutions, validating them with partner teams, and iterating towards production-ready services.
- Developing reusable skills, CLI tools, APIs, and integration patterns to help internal teams embrace secure agent approaches across enterprise tools and platforms.
- Partnering closely with teams across Enterprise Security, Product Security, Enterprise AI, Enterprise Product, and relevant platform teams to align architecture with real workflow needs and operational constraints.
What we need to see:
- Bachelor’s degree or Master’s degree or equivalent experience in Computer Science or a related field.
- 8+ years in software engineering, security engineering, or related areas, including hands-on technical leadership.
- Excellent software engineering skills, including crafting and building backend services, APIs, automation, or platform components in various programming environments. The role requires quickly learning new paradigms, frameworks, and tools as needed.
- Experience with multi-contributor software projects and long-running software projects.
- Familiarity with building agents, AI tooling, and architectures.
- Track record of framing problem spaces, defining an MVP, prototyping quickly, and evolving ideas into production systems.
- Familiarity with offensive security, adversarial thinking, red teaming, or attack-path analysis, capable of applying that perspective to architecture decisions and security tradeoffs.
- Flexibility and willingness to frequently collaborate across organizational boundaries, balancing security with usability and adoption.
Ways to stand out from the crowd:
- Demonstrate strong human-centered thinking, carefully integrating underlying requirements from researchers and users into code.
- Excellent software engineering instincts, including the ability to build reusable frameworks, understand and refine requirements, build tooling that improve engineering velocity and consistency.
- Deep familiarity with open-source projects, including community involvement, workflow, and governance.
- Experience with agentic or AI-adjacent systems, such as tool-using applications, workflow orchestration, evaluation loops, policy controls, memory/context services, or trust and discovery systems.
- Understanding of AI-specific security risks such as injection, tool misuse, unauthorized access expansion, data exfiltration, or unsafe delegation patterns.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 24, 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.Originally posted on Himalayas