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Senior Infrastructure Engineer - Infrastructure Security and Core Services

NVIDIA· Engineer, Network Infrastructure
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Santa Clara, CA$208k - $333.5kfull-timePosted 1mo ago

About the role

Hands-on engineer role focused on redesigning NVIDIA manufacturing sites’ core services, enabling new sites, and troubleshooting incidents with revenue impact in mind. Builds ultra-high-speed, resilient, and scalable core services for GPU-accelerated OT/IT manufacturing environments, with emphasis on security, compute, storage, and network infrastructure.

Responsibilities

  • Lead the architecture, design, and deployment of global-scale manufacturing sites and their connectivity to AI factories and offices. Architect and build CPU-based compute, storage, and GPU/HPC clusters.
  • Design high-performance OT and IT networks for NVIDIA and Partner connectivities to support general compute workloads and GPU-dense AI/ML training and inference environments.
  • Partner with systems, Operations teams, supply chain partners, OS, GPU, storage, and HPC product teams to deliver scalable, highly available network architectures and connectivity solutions that can scale with rapid growth in compute and GPU capacity.
  • Implement and refine compute, storage and security, telemetry, and performance-engineering practices across the infrastructure to detect issues early and continually improve end-to-end application experience.
  • Manage life cycle management, design infrastructures, and revenue-generating manufacturing sites.
  • Define and enforce security, compliance, and reliability standards for all infrastructure components supporting mission-critical manufacturing, R&D workloads, and NPI designs in a secure way.
  • Collaborate with Operations, Manufacturing Partners and engineering teams to develop “NVIDIA on NVIDIA” reference architectures and best-practice solutions for large-scale compute and AI data designs, using NVIDIA products like Mellanox and GPUs.
  • Troubleshoot DNS, DHCP, and other full connectivity stack infrastructures; support infrastructure on the factory floor; experience with Test Engineering topologies.

Qualifications

  • MS or PhD in Electrical Engineering, Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or equivalent experience.
  • 12+ years of experience in building, managing and supporting large scale hybrid networks, developing automation pipelines with Python, Ruby, Go or other languages used in infrastructure automation.
  • Expert in networking technologies especially Mellanox; Compute technologies - Dell, Openshift, cloud compute services; Storage Services - Pure, NetApp.
  • Experience designing compute and storage architectures for data centers, offices, manufacturing environments and labs.
  • Experience building data lakes, caching layers and cloud-based infrastructure services with the ability to translate requirements into new designs as business needs evolve.
  • Experience with designing Test Automation infrastructures in manufacturing and strong scripting skills.
  • Experience designing both CPU and GPU workloads.

Skills

Required:NetworkingAutomationStorage architectureSecurity/compliance

Benefits

  • equity
  • benefits
Last updated Sep 11, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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