NVIDIA Corporation

Senior Infrastructure Engineer - Connectivity

NVIDIA Corporation • $208K — $333K *
Manufacturing & Automotive
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in relevant fields or equivalent experience
  • 12+ years of experience in large-scale hybrid networks
  • Expert in networking technologies including TCP/UDP, IPv4/IPv6
  • Experience with automation languages like Python, Ruby, or Go
  • Familiarity with Mellanox networking equipment

Responsibilities

  • Troubleshoot network issues including DNS and DHCP
  • Lead the architecture and deployment of global-scale factory connectivity
  • Collaborate with systems and product teams to create scalable network solutions
  • Design interfaces between IT rooms, production floors, and NVIDIA data centers
  • Manage lifecycle and design topologies for efficient manufacturing networks
  • Define security and compliance standards for network components
  • Develop 'NVIDIA on NVIDIA' reference architectures for compute and AI data

Benefits

  • Eligibility for equity
  • Comprehensive health benefits
  • Work in a cutting-edge technology environment
  • Opportunities for professional development
  • Dynamic and innovative workplace culture
Full Job Description
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


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 October 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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