Senior AI Security Engineer

Details

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.

The 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. The role collaborates with research, security, product, and partner teams to build lasting code bases.

Responsibilities

• Build leading software to accelerate and improve cybersecurity tooling for AI.
• Collaborate closely with research and product teams to develop research code into alpha product versions.
• Identify the highest-value MVP for ambiguous security and identity problems, prototype solutions, validate them with partner teams, and iterate toward production-ready services.
• Develop reusable skills, CLI tools, APIs, and integration patterns to help internal teams adopt secure agent approaches across enterprise tools and platforms.
• Partner with Enterprise Security, Product Security, Enterprise AI, Enterprise Product, and relevant platform teams to align architecture with real workflow needs and operational constraints.

Requirements

• Bachelor's or Master's degree, or equivalent experience, in Computer Science or a related field.
• 8+ years of experience in software engineering, security engineering, or related areas, including hands-on technical leadership.
• Excellent software engineering skills, including building backend services, APIs, automation, or platform components in various programming environments.
• Ability to quickly learn new paradigms, frameworks, and tools as needed.
• Experience with multi-contributor and long-running software projects.
• Familiarity with building agents, AI tooling, and AI 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, with the ability to apply these perspectives to architecture decisions and security tradeoffs.
• Flexibility and willingness to collaborate frequently across organizational boundaries while balancing security with usability and adoption.

Preferred Qualifications

• Strong human-centered thinking and the ability to integrate requirements from researchers and users into code.
• Strong software engineering instincts, including the ability to build reusable frameworks, understand and refine requirements, and create tooling that improves 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 and context services, or trust and discovery systems.
• Understanding of AI-specific security risks such as injection, tool misuse, unauthorized access expansion, data exfiltration, and unsafe delegation patterns.

Compensation and Benefits

The base salary range is USD 184,000–287,500 for Level 4 and USD 224,000–356,500 for Level 5. The role is also eligible for equity and benefits.