Senior Network Security Architect at NVIDIA

Department: Engineer, Cyber Security

Compensation

$196,000 – $310,500/yr

Setup: On-site
Location: California
Type: Full-time
Level: senior
Posted: Sep 9, 2026

Description

NVIDIA is hiring an Enterprise Network Security Architect to design and implement large-scale network security frameworks, identity-driven access controls, security product enablement, and isolation for autonomous AI workloads. The role partners with Enterprise Security, Product Security, IAM, and other teams; evaluates and tests security technologies; conducts audits and penetration tests; and establishes documentation, standards, and roadmaps. Candidates need an MS or PhD in a relevant field, 12+ years of experience building and supporting large-scale hybrid networks, automation experience, and knowledge of security frameworks, networking, cloud platforms, and cross-functional security adoption. The base salary is 196,000 USD to 310,500 USD for Level 5 and 240,000 USD to 379,500 USD for Level 6, with equity and benefits.

Required Skills

Network security
Python
Zero Trust
NAC
Cloud security
Penetration testing

Additional Information

Minimum Education: Master's or PhD in Electrical Engineering, Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or equivalent experience
Required Previous Experiences: 12+ years building, managing, and supporting large-scale hybrid networks
Experience developing automation technology with Python, Ruby, Go, or other infrastructure automation languages
Experience evaluating and testing vendor platforms and in-house network initiatives for security issues
Experience working cross-functionally with identity, IAM, and product security teams
Experience crafting segmentation for large-scale corporate and campus networks
Preferred Qualifications: Experience with ML/AI security analysis, vulnerability assessment, threat modeling, malware detection, binary analysis, or network analytics
Experience working with heterogeneous security platforms and building them as code
Experience driving organization-wide adoption of security standards or gates
Direct experience securing agentic AI and autonomous coding-agent infrastructure