NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA Enterprise Network Architecture team is seeking experienced candidates in the extensive domain of network security.
Great foundations generating documentation for architectural planning, roadmaps, designs, evaluations, test plans, along with a passion for configuration standards will set you apart. Outstanding problem-solving abilities and a comprehensive understanding of network security protocols & standards, routing, switching, automation, and a deep understanding of fundamental network theory is also critical to your success at NVIDIA.
This is a broad network security architecture role spanning traditional network security design, identity-driven access control, enablement of security products at scale, and emerging problem spaces like agentic AI workload isolation — with a strong emphasis on driving adoption, not just designing on paper. What You'll Be Doing: Build and implement network protection frameworks, including firewalls, intrusion detection/prevention systems, VPNs and other security technologies.
Partner with Enterprise Security — working across IAM, network access control (NAC/802.1X), and Zero Trust identity/posture-based policy so that network access decisions are increasingly driven by who/what is connecting and its security posture, not just IP/VLAN placement. Partner with Product Security (ProdSec) to enable NVIDIA's own security products and tooling for internal customers at scale — taking platforms validated in staging/pilot and driving them into org-wide production use (e.g., artifact/supply-chain scanning gates, access-control gateways, endpoint/network detection tooling), removing the friction that keeps good tooling stuck at "validated but not embraced." Design network-level isolation for autonomous/agentic AI workloads ("autorun") and multi-tenant environments running disparate, co-located workloads at different trust levels — defining trust-domain boundaries, segmentation models, and long-term end-state architecture (e.g., firewall-based "chambers" today, migrating toward DPU-based zero-trust micro-segmentation as that capability matures) so that a compromised or malicious workload cannot reach other tenants or the broader corporate network.
Lead efforts to move NVIDIA's internal office and lab networks from a largely flat, implicitly-trusted model toward explicit east-west segmentation — internal/collapsed firewalls at key boundary points, a service-catalog-based access model, and a foundation for dynamic Zero Trust controls (posture, identity, application awareness) — without breaking existing lab/office workflows. Research, evaluate, and recommend security solutions, products, and technologies that can enhance the network's security posture.
Partner and conduct security audits and penetration tests to assess the network's security and identify vulnerabilities. Create and maintain documentation, including security policies, procedures, network diagrams, and multi-functional feasibility reviews that define clear ownership boundaries between network, identity, platform, and application-security teams. Deliver guidelines, validated design standards, and direction on security standards/policies/roadmaps like Zero Trust to ensure consistent security practices acro