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AI Security Architect
NVIDIA
HybridHybrid
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 to improve the security posture of NVIDIA AI products. In this role, you will help define and execute development methodologies that reduce risks, threats, and vulnerabilities.
What You’ll Be Doing
You will:
- Define the Secure Development Life Cycle (SDLC) for NVIDIA AI products.
- Set best practices for secure usage of AI tools in development.
- Assist architecture and R&D teams in creating secure AI products.
- Perform security threat modeling for NVIDIA AI products.
- Make security architecture recommendations to meet guidelines.
- Mentor teams and developers on AI security best practices.
- Act as a technical focal point and provide hands-on security engineering expertise.
- Develop and implement AI security proof-of-concepts for automated testing and validation.
What We Need To See
Candidates should have:
- A Bachelor’s degree in computer science, electrical engineering, or related field (or equivalent experience).
- 3+ years of security engineering experience and overall 5+ years experience.
- Experience with secure development of AI applications and AI-based tools.
- The ability to lead significant changes in a large-scale organization.
- Strong independent and collaborative work skills.
- Excellent communication and interpersonal skills.
Ways To Stand Out
Extra qualifications include:
- M.Sc. or PhD in a related technical field.
- Experience managing or leading R&D teams.
- Expertise in handling high-scale deployment challenges.
Key skills/competency
- AI Security
- SDLC
- Threat Modeling
- Risk Management
- Secure Development
- Mentoring
- R&D Collaboration
- Security Engineering
- Architecture
- Proof-of-Concept
How to Get Hired at NVIDIA
🎯 Tips for Getting Hired
- Customize your resume: Highlight AI security engineering experience.
- Research NVIDIA: Review their products and security practices.
- Showcase projects: Detail threat modeling and SDLC work.
- Prepare to discuss: Security challenges and proof-of-concepts.
📝 Interview Preparation Advice
Technical Preparation
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Review secure AI development methodologies.
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Practice threat modeling scenarios.
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Study NVIDIA security architecture guidelines.
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Test AI security proof-of-concepts.
Behavioral Questions
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Describe collaboration in challenging projects.
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Explain risk management in AI development.
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Discuss independent work achievements.
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Share leadership examples in technical teams.