Senior Infra Security & Core Services Engineer - Global

NVIDIA; Santa Clara (CA); On-site; USD 208,000 - 334,000; Full time

Job summary

NVIDIA is seeking a hands-on engineer to redesign and deploy ultra-high-speed, secure core services for its manufacturing sites and AI factories. You’ll architect CPU‑based compute, storage, and GPU/HPC clusters, design OT/IT networks, and partner across teams to ensure scalable, highly available infrastructure that handles intense manufacturing workloads.

You’ll also enforce security standards, build reference architectures, and troubleshoot DNS/DHCP and connectivity stacks for reliable factory

Qualifications

• MS or PhD in Electrical Engineering, Computer Science, Computer Engineering, AI, Data Science, Mathematics, Statistics, or equivalent experience.
• 12+ years in building, managing and supporting large scale hybrid networks, and automation pipelines (Python, Ruby, Go).
• Expert in Mellanox networking and compute/storage tech (Dell, OpenShift, Pure, NetApp).
• Experience designing data centers, manufacturing environments and labs; building data lakes and caching layers.
• Experience with Test Automation infrastructures in manufacturing and scripting.

Responsibilities

• Lead architecture, design, and deployment of global-scale manufacturing sites and connectivity to AI factories and offices.
• Design high-performance OT/IT networks for general compute and GPU-dense AI workloads.
• Collaborate with Operations, Manufacturing Partners and engineering teams to deliver scalable, highly available network architectures.
• Implement security, telemetry, and performance practices to detect issues early and improve end-to-end experience.
• Manage lifecycle design infrastructures and enforce security and reliability standards for mission-critical manufacturing workloads.

Skills

Hybrid networks

Python automation

Ruby

Go

Mellanox networking

Dell hardware

OpenShift

Storage: Pure

Storage: NetApp

Data center design

Manufacturing environments

Test automation infra

CPU & GPU workloads

Education

MS or PhD in Electrical Engineering, Computer Science, Computer Engineering, AI, Data Science, Math, Statistics

Job description

NVIDIA is seeking a hands-on engineer to redesign and deploy ultra-high-speed, secure core services for its manufacturing sites and AI factories. You’ll architect CPU‑based compute, storage, and GPU/HPC clusters, design OT/IT networks, and partner across teams to ensure scalable, highly available infrastructure that handles intense manufacturing workloads.

You’ll also enforce security standards, build reference architectures, and troubleshoot DNS/DHCP and connectivity stacks for reliable factory