Senior Network Architect

Posted 13 Hours Ago
Be an Early Applicant
Santa Clara, CA
Expert/Leader
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior Network Architect at NVIDIA, you will lead the design and architecture of high-performance networks, evaluate technologies, troubleshoot complex issues, and ensure compliance with IT standards. You'll collaborate with product managers and participate in design reviews while conducting performance audits and tuning of networks.
Summary Generated by Built In

NVIDIA Enterprise Network Architecture team is seeking experienced candidates in the extensive domain of network architecture & engineering. Great foundations generating documentation for architectural planning, roadmaps, designs, evaluations, test plans, along with a passion for configuration standards will set you apart. 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 design and architecture of the organization's network, ensuring it supports current & future needs and is highly available and scalable.

  • Evaluate and recommend network technologies, hardware, and software solutions.

  • Troubleshoot and resolve complex network issues to minimize downtime.

  • Sets the bar for being adaptable to operational issues and is accountable for their prevention in future.

  • Participate in design reviews; Ensure compliance with Information Technology governance standards.

  • Liaise with internal stakeholders to understand and address network requirements.

  • Conducts advanced level performance tuning as well as network performance audits on a regular basis.

  • 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: 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.)

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 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 outstanding people like you to help us accelerate the next wave of artificial intelligence.

The base salary range is 160,000 USD - 310,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Top Skills

Go
Python
Ruby
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

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.”

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