Senior AI Security Engineer - Secure Agent Architect

NVIDIA Corporation; Colorado; On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking an experienced engineer to lead secure agent architectures for AI-powered cybersecurity. You will design backend services, APIs, and automation, collaborating with research, product, and platform teams to ship production-ready solutions.

You will work across Enterprise Security, Product Security, and Enterprise AI to align architecture with real workflows while balancing security with usability and adoption.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field.
• 8+ years in software or security engineering with technical leadership.
• Experience building backend services, APIs, automation, or platform components.
• Experience with multi-contributor software projects and long-running efforts.
• Familiarity with agents, AI tooling, and architecture decisions.
• Proven ability to define MVPs, prototype quickly, and evolve to production.
• Understanding of offensive security and attack-path thinking.
• Willingness to collaborate across teams to balance security and usability.

Responsibilities

• Build leading software to accelerate cybersecurity tooling for AI.
• Collaborate with research and product teams to turn research code into alpha products.
• Identify high-value MVPs for ambiguous security problems and iterate to production.
• Develop reusable skills, CLI tools, APIs, and integration patterns for enterprise use.
• Partner with Enterprise Security, Product Security, and Enterprise AI for architectural alignment.

Skills

Backend APIs

Automation

Security engineering

Multi-contributor projects

Agent systems

Red team thinking

Collaboration

Education

Bachelor’s or Master’s in CS

Job description

NVIDIA Corporation is seeking an experienced engineer to lead secure agent architectures for AI-powered cybersecurity. You will design backend services, APIs, and automation, collaborating with research, product, and platform teams to ship production-ready solutions.

You will work across Enterprise Security, Product Security, and Enterprise AI to align architecture with real workflows while balancing security with usability and adoption.