Principal Network Architect at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, HPCIndustries

Requirements

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
Experience 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 using an automated configuration management system (Terraform, Chef, Puppet, Ansible, Salt, etc.)
Outstanding problem-solving abilities and comprehensive understanding of network security protocols & standards, routing, switching, automation, and fundamental network theory

Responsibilities

Lead the architecture, design, and deployment of global-scale backbone and fabric for HPC, AI, and GPU computing clusters
Develop high-performance data center fabric using Infiniband, high-throughput Ethernet, and related technologies
Optimize carrier interconnects, backbone 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 backbone networking hardware and software
Ensure security, compliance, and reliability across all backbone components to support sensitive compute loads and business requirements
Collaborate with internal product managers to develop NVIDIA on NVIDIA solutions

Skills

Key technologies and capabilities for this role

InfinibandEthernetBGPPythonRubyGoTCPUDPIPv4IPv6routingswitchingautomationnetwork securityHPCdark fiber

Questions & Answers

Common questions about this position

What is the base salary range for the Principal Network Architect position?

The base salary range is 248,000 USD - 391,000 USD, determined based on location, experience, and pay of employees in similar positions.

Is this a remote position or does it require office work?

This is a hybrid position.

What are the key required skills and experience for this role?

Candidates need an MS or PhD in relevant fields, 12+ years in large-scale hybrid networks, expertise in networking technologies like BGP, MPLS, EVPN, experience with automation languages such as Python, Ruby, Go, and automated configuration tools like Terraform or Ansible.

What is the work environment like at NVIDIA?

NVIDIA leads in AI, High-Performance Computing, and Visualization, focusing on innovative GPU technologies that enable groundbreaking developments from artificial intelligence to autonomous cars.

What makes a strong candidate for this Principal Network Architect role?

A strong candidate will have an advanced degree in a relevant field, 12+ years of experience in large-scale networks, deep expertise in advanced networking protocols, and hands-on experience with network automation and infrastructure tools.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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