N

NVIDIA

Designs the chips and software that power AI

Distinguished Engineer - Security Architecture

Security Engineering & ArchitectureUpdated on Nov 7
Full-timeWashington, USARemote

About the Job

Requirements

  • Experience, typically 20 or more years, across software engineering, infrastructure, and security, with recent depth securing large-scale distributed or cloud platforms.
  • A proven record owning the end-to-end security architecture of a large platform across multi-tenant isolation, identity and access, policy enforcement, supply chain, and detection, with architecture that was built and operated.
  • Production-grade coding experience: having written, shipped, and operated production services at scale, and being able to closely read unfamiliar codebases to identify broken security assumptions.
  • Ability to assess emerging technology shifts, including AI-generated code, AI-assisted security analysis, and agents operating inside defended systems.
  • Ability to threat model complex distributed systems, including their substrate, orchestration layer, and tenancy boundary, and distinguish architectural gaps from bugs.
  • Depth in cloud-native architecture, Kubernetes, Linux systems security including kernel-level primitives, and security properties of high-throughput multi-tenant environments.
  • Ability to build consensus and organizational alignment across engineering leadership and senior executives, communicate risk in actionable terms, state unknowns honestly, and make trade-offs legible.
  • Experience, typically 7 or more years, leading and growing senior technical talent, including hiring, coaching, and setting direction for Principal Engineers.
  • A Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
  • A BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience with at least 18 years of practical engineering experience.

Responsibilities

  • Set and define the DGX Cloud security design standard across tenancy, GPU workloads, identity, supply chain, and isolation, including reference architectures, golden paths, and buildable requirements.
  • Embed with engineering teams on real work by joining designs, learning the code, and helping ship systems that meet security considerations.
  • Drive the multi-year architecture for shared security infrastructure, including hardened baselines and patch service-level objectives, deploy-time policy and admission control, workload identity, supply-chain provenance through signing and attestation, and GPU-workload-tuned detection and response.
  • Address recurring risks at their architectural roots, including offensively testing internal designs, and feed findings into paved roads, baselines, and detections.
  • Lead a small team of Principal Engineers who report to the role, set their technical direction, hire to address capability gaps, and develop their scope.
  • Serve as DGX Cloud's primary technical connection to NVIDIA's central security organization and partner with platform, production engineering, and network security teams.
  • Document security gaps when systems are expected to ship below the bar, describe what is needed to close them, and present them to executives who own the risk.

Desired Qualifications

  • Experience securing high-performance computing environments, RDMA-based networks, large GPU fleets, or GPU-specific security challenges.
  • Experience establishing a security architecture practice, including its security bar, reference architectures, working agreements, and credibility with engineering teams.
  • Depth in attestation, TPM/HSM integration, confidential computing, or workload identity frameworks deployed at scale.
  • Notable contributions to security-focused open source, standards work, or engineering-focused security research.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

Recently Posted Jobs

Explore more opportunities at NVIDIA

See more jobs