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Principal Network Engineer — DC and AI Clusters

NVIDIA

Principal Network Engineer — DC and AI Clusters

NVIDIA

US, CA, Santa Clara

·

On-site

·

Full-time

·

1mo ago

Compensation

$248,000 - $396,750

Benefits & Perks

Learning and development stipend

Annual team offsites

Top Tier compensation with equity

Flexible PTO policy

Required Skills

SQL

PyTorch

Airflow

We are seeking a highly skilled Principal Network Engineer to join our dynamic team to build the next generation of IT AI Clusters and help lead the team through a major technology transformation into running AI on-prem and build infrastructure by integrating Enterprise ready platforms while building a solid foundation with automation. We are looking for a passionate engineer who will solve networking problems for scalable AI clusters.

This is a hands-on network engineering position focused on the architecture, design, development and deployment of ultra-high-speed, resilient, and scalable DC AI Clusters and 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 DCs inter-connects and fabric for HPC, AI, and GPU computing clusters.

  • Develop high-performance data center fabric using Infini Band, Ultra Ethernet and related technologies.

  • Optimize carrier interconnects, intra and inter DC routing, and dark fiber deployments to ensure low latency and high reliability.

  • Partner with system, OS, GPU, and HPC teams to deliver scalable, highly available networks for extreme-performance workloads.

  • Implement network monitoring, telemetry, solving, and continuous performance improvement processes.

  • Drive technology selection, vendor engagement, and lifecycle management for Data Center hardware and software.

  • Collaborate with internal product managers develop NVIDIA on NVIDIA solutions

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: Infini Band, Ultra Ethernet, ROCEv2, DCQCN, TCP/UDP, IPv4/IPv6, BGP/MP-BGP, VPN, L2 switching, EVPN, VxLAN, Segment Routing, MPLS.

  • Experience automating network infrastructure

  • Experience using an automated configuration management system (Python,Terraform, Chef, Puppet, Ansible, Salt, etc.)

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. 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 248,000 USD - 396,750 USD.

You will also be eligible for equity and benefits.

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

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

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About NVIDIA

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

Employees

Santa Clara

Headquarters

$4.57T

Valuation

Reviews

4.1

10 reviews

Work Life Balance

3.5

Compensation

4.2

Culture

4.3

Career

4.5

Management

4.0

75%

Recommend to a Friend

Pros

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

Cons

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

Salary Ranges

47 data points

Junior/L3

Mid/L4

Junior/L3 · Analyst

7 reports

$170,275

total / year

Base

$130,981

Stock

-

Bonus

-

$155,480

$234,166

Interview Experience

7 interviews

Difficulty

3.1

/ 5

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR