Senior Infrastructure Engineer - Infrastructure Security and Core Services

Posted 17 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
208K-334K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Designs, deploys, and secures global manufacturing infrastructure, including high-performance networks, CPU/GPU compute, storage, HPC clusters, and cloud services. The role architects resilient connectivity for OT and IT environments, develops automation, enforces security and reliability standards, supports factory-floor infrastructure, and rapidly troubleshoots DNS, DHCP, networking, and infrastructure incidents affecting manufacturing operations.
Summary Generated by Built In

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for 30 years. It’s an outstanding legacy of innovation that’s motivated by extraordinary technology—and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join our team and see how you can make a lasting impact on the world!

The Contract Manufacturing infrastructure team is seeking experienced candidates who have a passion for infrastructure security, compute services and storage needs that are designed for manufacturing workloads. This candidate would need to redesign the NVIDIA manufacturing sites core services, enable new sites and troubleshoot incidents quickly knowing the revenue impact of a factory line being down. This is a hands-on engineer position focused on the development and deployment of ultra-high-speed, resilient, and scalable core services for GPU-accelerated OT and IT environments, manufacturing sites. Outstanding problem-solving abilities and a comprehensive understanding of the computer, storage, routing, switching, automation and deep understanding of fundamental network theory is also critical to your success at NVIDIA.

What you will be doing

  • 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 both for NVIDIA and Partner connectivities to support both 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 evolve with rapid growth in both 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, come up with design infrastructures, revenue generating manufacturing sites.

  • Define and enforce security, compliance, and reliability standards for all infrastructure components supporting mission critical manufacturing, R&D workloads, 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.

  • Be able to troubleshoot quickly DNS, DHCP, and other full connectivity stack infrastructures.

  • Experience with Test Engineering topologies and experience supporting infrastructure on the factory floor.

What we need to see

  • 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 like Dell etc and 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 and strong scripting skills

  • Designing both CPU and GPU workloads

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The NVIDIA factories that produce GPUs, our inventions, serve as the visual cortex of modern computers and are at the heart of our products and services. We need to build secure networks for these critical revenue generating manufacturing sites. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 333,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 13, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • 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 comparable languages
  • Expertise in Mellanox networking technologies
  • Experience with compute technologies including Dell and OpenShift
  • Experience with storage services including Pure Storage and NetApp
  • Experience designing compute and storage architectures for data centers, offices, manufacturing environments, and laboratories
  • Experience building data lakes, caching layers, and cloud-based infrastructure services
  • Experience designing test automation infrastructure in manufacturing environments
  • Strong scripting skills
  • Experience designing CPU and GPU workloads
  • Experience supporting infrastructure on the factory floor and working with test engineering topologies

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

Similar Jobs

Comcast Logo Comcast

Enterprise Account Executive

Digital Media • Information Technology • News + Entertainment
Remote or Hybrid
California, USA
115000 Employees
65K-116K Annually

Comcast Logo Comcast

Account Executive

Digital Media • Information Technology • News + Entertainment
Remote or Hybrid
California, USA
115000 Employees
72K-96K Annually

Tapestry - Coach and Kate Spade Logo Tapestry - Coach and Kate Spade

Temporary Associate

eCommerce • Fashion • Retail • Sales • Wearables • Design
Hybrid
Vacaville, CA, USA
16000 Employees
15-20 Hourly

Tapestry - Coach and Kate Spade Logo Tapestry - Coach and Kate Spade

Temporary Associate

eCommerce • Fashion • Retail • Sales • Wearables • Design
Hybrid
Barstow, CA, USA
16000 Employees
15-20 Hourly

Similar Companies Hiring

Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
60 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
43 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account