Senior Infrastructure Engineer - Infrastructure Security and Core Services
About The Position
NVIDIA is seeking an experienced infrastructure engineer for its Contract Manufacturing infrastructure team. The role focuses on infrastructure security, compute services, and storage for manufacturing workloads. The engineer will redesign core services at NVIDIA manufacturing sites, enable new sites, and rapidly troubleshoot incidents where factory downtime can affect revenue. This is a hands-on position developing and deploying high-speed, resilient, and scalable core services for GPU-accelerated operational technology (OT) and information technology (IT) environments. The position covers global manufacturing-site architecture and connectivity to AI factories and offices; CPU-based compute, storage, and GPU/HPC clusters; and high-performance networks supporting general compute and GPU-dense AI/ML workloads. The engineer will collaborate with internal teams and manufacturing partners to deliver scalable, highly available infrastructure, establish security and reliability practices, and support mission-critical manufacturing, R&D, and NPI workloads. The role also includes infrastructure lifecycle management and troubleshooting DNS, DHCP, and other connectivity services.
Requirements
- MS or PhD in Electrical Engineering, Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or equivalent experience.
- 12+ years of experience building, managing, and supporting large-scale hybrid networks.
- Experience developing infrastructure automation pipelines using Python, Ruby, Go, or other languages.
- Expertise in networking technologies, especially Mellanox; compute technologies such as Dell and OpenShift; and storage services such as Pure and 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, and translating changing business and product requirements into new designs.
- Experience designing test automation infrastructures in manufacturing and strong scripting skills.
- Experience designing for both CPU and GPU workloads.
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 connectivity, supporting general compute and GPU-dense AI/ML training and inference.
- Partner with systems, Operations, supply chain partners, OS, GPU, storage, and HPC product teams to deliver scalable, highly available network architectures and connectivity solutions.
- Implement and refine compute, storage, security, telemetry, and performance-engineering practices to detect issues early and improve end-to-end application experience.
- Manage infrastructure lifecycle and develop infrastructure designs for revenue-generating manufacturing sites.
- Define and enforce security, compliance, and reliability standards for infrastructure supporting mission-critical manufacturing, R&D, and NPI workloads.
- Collaborate with Operations, manufacturing partners, and engineering teams to develop NVIDIA reference architectures and best practices for large-scale compute and AI data designs using products such as Mellanox and GPUs.
- Troubleshoot DNS, DHCP, and other components of the connectivity stack.
- Support Test Engineering topologies and infrastructure on the factory floor.
Benefits
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
