[Hiring] Principal Engineer, Security Architecture @NVIDIA

Role Description

NVIDIA DGX Cloud is an AI Factory designed to power the next generation of AI and industrial-scale breakthroughs. As a Principal Engineer for Security Architecture, within our Security Engineering organization, you will own a core security domain of the AI factory: the architecture, the paved road that delivers it, and much of the code underneath.

You will hold the security design bar across DGX Cloud from inside the teams doing the building, and this is a founding seat on a new team. Security Engineering is a new organization at DGX Cloud, accountable for the security outcome of the platform, and Security Architecture is the function inside it that holds the design bar.

Your work will cross every DGX Cloud engineering organization:

• Embed with the teams building GPU clusters, control planes, and services.
• Join their designs as a participant rather than an approver.
• Leave behind systems in which an entire class of risk is no longer possible.

There is no architecture review board here and no approval queue. You are a senior IC with deep security domain knowledge, and the security bar holds because you helped set it and then helped ship it.

What You Will Be Doing

• Own a Security Domain End to End: Take architectural ownership of a core domain of DGX Cloud security, from the design through the system running in production.
• Embed with the Teams Building It: Join the design early, write the code, and help land it.
• Build Paved Roads, Not Gates: Engineer the secure path into the platform so that it is also the easy path.
• Engineer Classes of Risk Out of Existence: Build systems where vulnerabilities cannot happen again.
• Threat Model and Attack the Design: Run deep-dive threat models and feed findings back into the baselines, guardrails, and detections.
• Carry the Bar into Execution: Turn the DGX Cloud security bar into reference architectures, requirements, and golden paths teams can build against.
• Multi-Functional Collaboration: Partner with DGX Cloud platform, production engineering, and network security teams to make the secure path real.

Qualifications

• Experience (typically 15+ years) across software engineering, SRE, infrastructure, and security engineering.
• A strong software engineering background with the ability to write clean, maintainable, and well-tested code.
• Experience with emerging technologies, including AI-generated code and AI-assisted analysis.
• Proven ability to build threat models for complex distributed systems.
• Hands-on experience with cloud-native architecture, container orchestration (Kubernetes), and Linux systems security.
• Experience landing designs through teams you do not own.
• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience) with 15+ years of relevant experience.

Requirements

• Experience securing high-performance computing environments, RDMA-based networks, large GPU fleets, or GPU-specific security challenges.
• Expertise in workload identity frameworks (e.g., SPIFFE/SPIRE), hardware root of trust (TPM/HSM) integration, or confidential computing.
• Real exploitation, red team, or security research experience that has been converted into engineering.
• Notable contributions to security-focused open-source projects or a track record of engineering-focused security research.

Benefits

• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 272,000 USD - 431,250 USD.
• You will also be eligible for equity and benefits.

Company Description

NVIDIA is leading the way in groundbreaking 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.