NVIDIA DGX Cloud is the AI supercomputing-as-a-service substrate designed to power the next generation of AI and industrial-scale breakthroughs. As a Security Engineer within our Infrastructure Security Engineering organization, you will not just help "secure" our platform—you will architect and build the foundational security primitives that protect massive-scale GPU clusters. You will design automated, resilient security systems that help ensure the integrity of our omni-cloud and on-premise AI infrastructure.
What You Will Be Doing:
Security Engineering: Design, build, and integrate production-grade security services. You will focus on the engineering of security products—transforming third-party and open-source tools into seamless, API-driven components of the DGX Cloud security stack.
Automated Policy Enforcement: Shift security "left" by developing Infrastructure as Code and Policy as Code to automate security enforcement and compliance at the speed of cloud-scale deployment.
Orchestration Security & Guardrails: Architect and implement the security control plane. You will engineer automated guardrails, controllers, and runtime security policies that validate and enforce the integrity of tenant boundaries.
Security-as-a-Service Approach: Designing and operating security services as a scalable platform. Building "self-service" security primitives (e.g., Identity-as-a-Service, automated secrets management, and real-time scanning APIs) that allow developer teams to move fast.
Security Tooling & Lifecycle: Develop internal security frameworks and automated response systems. Responsible for the full software development lifecycle (SDLC) of the security tools, including testing, deployment, and maintenance.
Threat Modeling & System Design: Conduct deep-dive threat models on complex distributed systems and the DGX Cloud stack, identifying architectural gaps in security and engineering the solutions to close them.
Multi-Functional Collaboration: Partner with DGX Cloud platform teams, broader NVIDIA security teams, and product engineering to understand their needs and build paved paths that seamlessly embed security into the CI/CD pipeline and the hardware lifecycle.
What We Need to See:
We are looking for high-caliber engineers with deep spikes of expertise in a few of these areas and the intellectual curiosity to dive into the rest. If your experience aligns with the core of this role—building resilient security systems—and you can show us how, we want to hear from you!
Infrastructure Engineering: Experience (typically 8+ years) in SRE, Software Engineering, and Infrastructure Security. You focus on building systemic solutions rather than performing manual operations or "tool administration."
Production-Grade Coding: A strong software engineering background with the ability to write clean, maintainable, and well-tested code. You should be comfortable building and maintaining production service at scale.
Distributed Systems Expertise: Understanding of cloud-native architecture, container orchestration (Kubernetes), and the security challenges inherent in high-throughput, low-latency environments.
Platformizing Security: Transform complex security requirements into consumable internal services. You will focus on the "Developer Experience" of security, ensuring that our infrastructure security controls are delivered as robust, API-first platforms that integrate seamlessly with NVIDIA’s internal engineering workflows.
Security Product Integration: Proven track record of taking complex security products (AuthN/AuthZ, Vaulting, Scanning, IDS) and integrating them into an automated infrastructure via APIs and custom glue-code.
Linux Internals: Strong hands-on experience with Linux systems security, including kernel-level primitives (eBPF, AppArmor, or SELinux).
Foundation: Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
Ways To Stand Out from the Crowd:
HPC/AI Security: Experience securing high-performance computing environments, RDMA-based networks, or GPU-specific security challenges.
Cloud-Native Identity: Expertise in workload identity frameworks (e.g., SPIFFE/SPIRE) and hardware-root-of-trust (TPM/HSM) integration.
Open Source Impact: Notable contributions to security-focused open-source projects or a track record of engineering-focused security research. How have you represented and helped advance the industry?
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
Skills Required
- Typically 8+ years of experience in SRE, software engineering, and infrastructure security
- Strong software engineering and production-grade coding experience, including clean, maintainable, well-tested code
- Experience with distributed systems, cloud-native architecture, and container orchestration using Kubernetes
- Experience transforming security requirements into scalable internal services and API-first platforms
- Experience integrating security products such as authentication and authorization, vaulting, scanning, and intrusion detection through APIs and custom code
- Strong hands-on Linux systems security experience, including kernel-level primitives such as eBPF, AppArmor, or SELinux
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent experience
- Experience securing HPC environments, RDMA-based networks, or GPU-specific infrastructure
- Expertise with workload identity frameworks such as SPIFFE/SPIRE and hardware roots of trust such as TPM/HSM
- Contributions to security-focused open-source projects or engineering-focused security research
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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