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 in the extensive domain of network architecture & connectivity engineering to redesign the NVIDIA manufacturing sites connectivity strategy. This is a hands-on architecture position focused on the development and deployment of the IT room which is similar in design to a mini datacenter and office designs at these manufacturing sites. Outstanding problem-solving abilities and a comprehensive understanding of the network security protocols & standards, routing, switching, automation and deep understanding of fundamental network theory is also critical to your success at NVIDIA. Knowledge of Manufacturing and OT networks and infrastructure is an advantage.
What you will be doing:
- Troubleshoot, network issues at the factory including DNS and DHCP
- Lead the architecture, design, and deployment of global‑scale factories and how they connect back to the cloud and the factory IT rooms. (Skills with RoCE and traditional IP) to support both general compute workloads and large language models.
- 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.
- Design clear demarcations between the IT room, Production floor and the NPI areas in the factory and how they talk to each other and back to NVIDIA DCs and clouds.
- Manage life cycle management, come up with design topologies for faster networks in revenue generating manufacturing sites.
- Define and enforce security, compliance, and reliability standards for all backbone and fabric components supporting sensitive enterprise and R&D workloads.
- Collaborate with internal product 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
What we need to see:
- MS or in Electrical Engineering, Mechanical 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: TCP/UDP, IPv4/IPv6, BGP/MP-BGP, VPN, L2 switching, EVPN, VxLAN, Segment Routing, MPLS, IS-IS, DWDM.
- Experience automating SDN/NFV/NFVI Infrastructure
- Experience with Mellanox networking gear
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.
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
- Master’s degree in Electrical Engineering, Mechanical 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 automation languages
- Expertise in TCP/UDP, IPv4/IPv6, BGP/MP-BGP, VPN, Layer 2 switching, EVPN, VXLAN, Segment Routing, MPLS, IS-IS, and DWDM
- Experience automating SDN/NFV/NFVI infrastructure
- Experience with Mellanox networking equipment
- Knowledge of manufacturing and OT networks and infrastructure
- Experience with RoCE and traditional IP networking
- Experience 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.
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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.
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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.
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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
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.”
