Senior Network Security Architect

Details

NVIDIA's Enterprise Network Architecture team is seeking an experienced network security professional. The role focuses on network security architecture, identity-driven access control, security product enablement at scale, network segmentation, Zero Trust, and emerging areas such as agentic AI workload isolation. Success requires strong documentation, architectural planning, configuration standards, problem-solving skills, and a comprehensive understanding of network security protocols, routing, switching, automation, and fundamental network theory.

Responsibilities

• Build and implement network protection frameworks, including firewalls, intrusion detection and prevention systems, VPNs, and other security technologies.
• Partner with Enterprise Security across IAM, network access control, NAC/802.1X, and Zero Trust identity- and posture-based policies.
• Partner with Product Security to enable NVIDIA security products and tooling for internal customers at scale, including artifact and supply-chain scanning gates, access-control gateways, and endpoint and network detection tooling.
• Design network-level isolation for autonomous and agentic AI workloads and multi-tenant environments with workloads operating at different trust levels.
• Define trust-domain boundaries, segmentation models, and long-term architectures, including firewall-based isolation and DPU-based Zero Trust micro-segmentation.
• Lead efforts to move internal office and lab networks from flat, implicitly trusted models toward explicit east-west segmentation using internal or collapsed firewalls, service-catalog-based access models, and dynamic Zero Trust controls.
• Research, evaluate, and recommend security solutions, products, and technologies.
• Partner on and conduct security audits and penetration tests to assess network security and identify vulnerabilities.
• Create and maintain security policies, procedures, network diagrams, and multifunctional feasibility reviews defining ownership boundaries among network, identity, platform, and application security teams.
• Deliver guidelines, validated design standards, and direction on security standards, policies, and roadmaps such as Zero Trust.
• Provide domain expertise, consultation, and critical issue support.

Requirements

• Master's or PhD in Electrical Engineering, Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or equivalent experience.
• At least 12 years of experience building, managing, and supporting large-scale hybrid networks with a security foundation.
• Experience developing automation technology with Python, Ruby, Go, or other infrastructure automation languages.
• Advanced knowledge of the NIST Cybersecurity Framework, CIS Controls, or MITRE ATT&CK frameworks.
• Strong knowledge of networking protocols and encryption services and their role in improving network security.
• Experience evaluating and testing vendor platforms and in-house network initiatives for security issues.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud and their security practices and services.
• Experience working cross-functionally with identity/IAM and product security teams to turn security capabilities into organization-wide standards.
• Ability to operate in ambiguous emerging problem spaces, including securing AI agent platforms where standards and precedent are still developing.

Preferred Qualifications

• Experience applying ML/AI to security analysis, vulnerability assessment and detection, threat modeling, malware detection, binary analysis, network analytics, or related security research.
• Experience working with heterogeneous security platforms and building them as code.
• Experience driving organization-wide adoption of a security standard or enforcement gate.
• Direct experience securing agentic AI or autonomous coding-agent infrastructure, including sandboxing, egress control, and trust-domain isolation.
• Experience designing segmentation for large-scale flat corporate and campus networks using internal firewalls, VLANs/VRFs, and NAC, including obtaining multifunctional approval and operationalizing the design.

Compensation and Benefits

The base salary range is USD 196,000–310,500 for Level 5 and USD 240,000–379,500 for Level 6. Compensation is determined by location, experience, and the pay of employees in similar positions. The role is also eligible for equity and benefits.

Applications will be accepted at least until September 13, 2026. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.