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?
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
170,000 CAD – 220,000 CAD for Level 4; and 225,000 CAD – 275,000 CAD for Level 5.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until November 8, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.