NVIDIA Corporation

Senior Network Architect

NVIDIA Corporation$208K — $396K *
Telecommunications & Hardware
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • MS or PhD in relevant technical fields or equivalent experience
  • 12+ years in managing large-scale hybrid networks
  • Proficient in automation with languages like Python, Ruby, or Go
  • Expertise in advanced networking technologies including TCP/UDP, IPv4/IPv6, and more
  • Experience with SDN/NFV infrastructure automation

Responsibilities

  • Lead design and deployment of global-scale data center fabrics
  • Design high-performance data center fabrics for compute and AI workloads
  • Engineer low-latency carrier interconnects for data center communications
  • Collaborate with teams to develop scalable network architectures
  • Implement network monitoring and performance-engineering practices
  • Select technologies and manage vendor relations for networking components
  • Define security and compliance standards for network components
  • Partner with product teams to create reference architectures for data centers

Benefits

  • Equity opportunities
  • Diversity and inclusion-focused workplace
  • Hybrid work model
  • Commitment to equal opportunity employment
Full Job Description
The NVIDIA Enterprise Network Architecture team is seeking experienced candidates in the extensive domain of network architecture & engineering. This is a hands-on architecture position focused on the development and deployment of ultra-high-speed, resilient, and scalable interconnects for GPU-accelerated data centers and compute clusters. 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.

What you will be doing
  • Lead the architecture, design, and deployment of global-scale backbone and data center fabrics that serve large fleets of CPU-based compute, storage, and GPU/HPC clusters.
  • Design high-performance DC fabrics using InfiniBand and high-throughput Ethernet (RoCE and traditional IP) to support both general compute workloads and GPU-dense AI/ML training and inference environments.
  • Engineer and optimize carrier interconnects, metro and long-haul backbone, and dark-fiber systems to provide low-latency, loss-minimal connectivity between regions, super labs, and data centers.
  • Partner with systems, OS, GPU, storage, and HPC platform teams to deliver scalable, highly available network architectures that can evolve with rapid growth in both compute and GPU capacity.
  • Implement and refine network monitoring, rich telemetry, and performance-engineering practices across fabrics and backbone to detect issues early and continually improve end-to-end application experience.
  • Drive technology selection, vendor engagement, and lifecycle strategy for routing, optical, and data center switching platforms across both compute and GPU domains.
  • 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 centers.


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: TCP/UDP, IPv4/IPv6, BGP/MP-BGP, VPN, L2 switching, EVPN, VxLAN, Segment Routing, MPLS, IS-IS, DWDM.
  • Experience automating SDN/NFV/NFVI Infrastructure


#LI-Hybrid

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 for Level 5, and 248,000 USD - 396,750 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 21, 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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