Senior Network Security Engineer - DGX Cloud

Description

NVIDIA is seeking a Sr Network Security Engineer to implement and maintain robust security across on-premise and cloud environments - enabling business verticals that span Graphics Drivers to AI and Deep Learning. In this role, you will lead the deployment and management of critical security infrastructure, including next-generation firewalls, load balancers, and advanced threat detection systems, safeguarding our hybrid cloud and on-premise networks while driving compliance across the organization. The ideal candidate brings deep expertise in multi-cloud architectures and cybersecurity, a proven track record of supporting large-scale, high-availability networks, and hands-on experience operating with hyperscaling environments. You’re a decisive problem-solver who thrives in fast-paced settings and moves with urgency to meet the demands of modern infrastructure.

What You Will Be Doing:

Design & Integrate: Collaborate with the network architecture team to review and comment on network designs.

Manage & Optimize Infrastructure: Lead the deployment, management, and troubleshooting of firewall, load balancing, and IDS/IPS solutions across both on-premise and cloud environments.

Enhance Visibility & Intelligence: Evolve our security feature set by using telemetry and advanced analytics to improve network observability and proactive threat detection.

Governance & Compliance: Define and maintain comprehensive security guidelines for on-premise and cloud deployments, ensuring consistent alignment with compliance and defense-in-depth standards.

Threat Mitigation: Orchestrate rigorous vulnerability management, including patching and bug scrubs, to proactively eliminate potential threat vectors.

IAM Strategy: Design Identity and Access Management (IAM) policies and controls specifically for services owned and operated by the global networking team.

Operational Excellence: Serve as a key stakeholder in security reviews and ACL approvals, ensuring safe, efficient, and resilient network operations.

Incident Response & Triage: Lead incident response efforts by investigating security alerts, conducting root cause analysis, and executing remediation plans in alignment with security incident handling frameworks.

Operational Enablement: Partner with the global operations team to ensure they have the necessary operational tools, documentation, and actionable information required to provide rapid first-response to network and security incidents.

What We Need To See:

Network & Cloud Security Architecture: Proven expertise in secure cloud-native and hybrid network architectures across major CSPs (AWS, GCP, Azure, OCI), ensuring seamless connectivity and stringent security posture.

Secure Network Infrastructure: Proficiency in securely deploying and managing Fortigate (FortiManager), Arista, Cisco, and Cumulus OS devices.

Advanced Threat Protection: Comprehensive operational knowledge of IDS/IPS, SSL inspection, URL filtering, and anti-malware/bot mitigations to maintain high-throughput secured traffic.

Virtualization & Connectivity: Strong understanding of network virtualization (VRFs, VxLAN) and CSP-specific virtualized firewall deployments.

Dynamic Routing Protocols: Proficient in dynamic routing protocols such as BGP, OSPF, IS-IS to ensure resilient and efficient network connectivity.

Monitoring & Observability: Experience managing logging pipelines and telemetry tools such as Splunk and Grafana for proactive security oversight.

Professional Experience: 8+ years of dedicated network security experience with a Bachelor’s degree or equivalent experience, coupled with the ability to collaborate cross-functionally with global security teams.

Ways To Stand Out From The Crowd:

Multi-Cloud Security Expertise: Deep proficiency in OCI, GCP, AWS, and Azure cybersecurity frameworks.

Infrastructure Proficiency: Working knowledge of Mellanox/Cumulus OS and network routing paradigms.

Automation & AI-Assisted Development: Proven ability to leverage Python, Shell scripting, and AI coding tools (e.g., Cursor, Claude Code) to build efficient automation, frameworks, and operational dashboards.

Large-Scale Experience: Demonstrated success in designing and securing hyper-scale network environments.

Innovation Outlook: Passion for driving progress through the adoption of groundbreaking technologies.

NVIDIA is leading the way in ground breaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 208,000 USD - 333,500 USD for Level 5.

Responsibilities

• Applications for this job will be accepted at least until September 26, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.