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AI Security Architect

NVIDIA

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Original Job Summary

About the AI Security Architect Role

NVIDIA product security team is seeking an outstanding technical AI Security Architect with hands-on experience. In this role, you will help improve the security posture of NVIDIA AI products by defining and executing secure development methodologies.

What You’ll Be Doing

  • Define the Secure Development Life Cycle (SDLC) for NVIDIA AI products.
  • Establish secure usage guidelines for AI tools in development.
  • Assist architecture and R&D teams in building secure AI products.
  • Perform security threat modeling and design security architecture recommendations.
  • Mentor teams and developers on best AI security practices.
  • Provide hands-on security engineering expertise across multiple teams.
  • Develop and implement AI security proof-of-concepts to test patterns.

What We Need To See

  • Bachelor's degree or equivalent in computer science, electrical engineering, or related field.
  • 3+ years in security engineering and overall 5+ years of experience.
  • Experience with secure development of AI applications and tools.
  • Leadership abilities to manage significant changes in a large-scale organization.
  • Excellent communication and interpersonal skills.

Ways To Stand Out

  • M.Sc. or PhD in a related technical field is a plus.
  • Experience managing or leading R&D teams.
  • Familiarity with high-scale deployment challenges.

Additional Information

Competitive salaries, equity, and comprehensive benefits package offered. Applications accepted until October 13, 2025. NVIDIA is committed to diversity and equal opportunity employment.

Key skills/competency

  • AI Security
  • SDLC
  • Threat Modeling
  • Security Architecture
  • Secure AI Development
  • Mentoring
  • Risk Reduction
  • Proof-of-Concept
  • R&D
  • Communication

How to Get Hired at NVIDIA

🎯 Tips for Getting Hired

  • Customize your resume: Emphasize AI and security experience.
  • Highlight relevant projects: Detail SDLC and threat modeling work.
  • Research NVIDIA culture: Study their mission and innovations on LinkedIn.
  • Prepare for technical interviews: Review AI security patterns and case studies.

📝 Interview Preparation Advice

Technical Preparation

Review secure SDLC frameworks.
Study AI security tools and methodologies.
Practice threat modeling case studies.
Prepare hands-on security architecture examples.

Behavioral Questions

Describe past leadership challenges.
Explain teamwork in a dynamic environment.
Discuss experience mentoring technical teams.
Share examples of problem-solving under pressure.