Senior Infrastructure Engineer - Infrastructure Security and Core Services

NVIDIA•Us, CA

About The Position

NVIDIA is seeking experienced candidates with a passion for infrastructure security, compute services, and storage needs for manufacturing workloads. This role involves redesigning core services for NVIDIA manufacturing sites, enabling new sites, and troubleshooting incidents with a focus on minimizing revenue impact from factory downtime. It's a hands-on engineering position focused on developing and deploying ultra-high-speed, resilient, and scalable core services for GPU-accelerated OT and IT environments in manufacturing sites. Success requires outstanding problem-solving abilities, a comprehensive understanding of compute, storage, routing, switching, automation, and fundamental network theory.

Requirements

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.
Expert in Compute technologies - Dell, Openshift, cloud compute services like Dell etc.
Expert in 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 take requirements into new designs as businesses transform and product requirements change.
Experience with designing Test Automation infrastructures in manufacturing.
Strong scripting skills.
Designing 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 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.
Implement and refine compute, storage, security, telemetry, and performance-engineering practices across the infrastructure.
Manage life cycle management and design infrastructures for revenue-generating manufacturing sites.
Define and enforce security, compliance, and reliability standards for all infrastructure components supporting mission-critical manufacturing and R&D workloads.
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.
Troubleshoot DNS, DHCP, and other full connectivity stack infrastructures.
Experience with Test Engineering topologies and supporting infrastructure on the factory floor.