Drimva

NVIDIA

Principal Engineer, Security Architecture - DGX Cloud

$272K–$431K

US, WA, Remote · Principal · Full-time · Posted Oct 10, 2026

Experience
Typically 15+ years; 15+ years of relevant experience is also stated.
Education
Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience).

About the job

Own and implement security architecture for NVIDIA DGX Cloud, partnering with engineering teams to build secure systems, paved roads, and production controls across the platform.

What you'll do

  • Own a security domain from design through production, including architecture and implementation.
  • Embed with platform teams to build secure paths, threat-model systems, and engineer recurring classes of risk out of the platform.
  • Develop reference architectures, requirements, and golden paths, collaborating across teams to integrate security into CI/CD and the hardware lifecycle.

What they ask for

  • Typically 15+ years across software engineering, SRE, infrastructure, and security engineering; the posting also specifies 15+ years of relevant experience.
  • Strong software engineering skills, including clean, maintainable, well-tested code and experience building and operating production services at scale.
  • Experience designing and operating security architectures, and proven threat modeling and system design skills for complex distributed systems.
  • Cloud-native architecture, Kubernetes, hands-on Linux systems security (eBPF, AppArmor, or SELinux), and ability to influence teams without authority.

Nice to have

  • Experience securing HPC, RDMA-based networks, large GPU fleets, or GPU-specific systems.
  • Expertise in workload identity (e.g., SPIFFE/SPIRE), TPM/HSM integration, confidential computing, offensive security translated into engineering, or security open-source contributions.

Pay

272,000 USD - 431,250 USD (base salary)

Tools

Kubernetes, Linux, eBPF, AppArmor, SELinux, SPIFFE/SPIRE, TPM/HSM, CI/CD

AI focus

Use and review AI-generated code, apply AI-assisted analysis in security engineering, and build for agents acting within owned systems. NVIDIA also states that it uses AI tools in recruiting.

Model-written summary · the original posting is authoritative

First seen Oct 16, 2026 · Last verified Nov 5, 2026 (UTC)