Senior Network Engineer - Cloud

Posted 16 Hours Ago
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Bengaluru, Bengaluru Urban, Karnataka
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior Network Engineer will develop a robust cloud network infrastructure at NVIDIA, focusing on reliability and scalability to support various software development workflows. Responsibilities include managing large-scale network stacks, contributing to automation, and providing 24/7 support for network operations.
Summary Generated by Built In

NVIDIA is looking for a Senior Network Engineer to develop a cloud network infrastructure. The goal is to craft a reliable, scalable and efficient network to support NVIDIA software development workflows and tools, including CI/CD pipelines, compute resource management flow and developer productivity tools. The network is serving the needs across the whole software stack for NVIDIA from Graphics Drivers to Autonomous Vehicles to Deep Learning frameworks. To achieve this goal, we are looking for an engineer who has a deep understanding of L3 underlay and overlay networks, outstanding design skills and a track record in building and delivering large-scale networks.

NVIDIA’s deep learning platforms have made major impact to various fields is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate, hard-working and creative people to help us take on more of these unique opportunities in deep learning cloud solutions.

What you will be doing:

  • Engage in 24/7 global shift rotations to provide remote support for network repairs and changes while collaborating across teams and updating customers on status and ticket information.

  • Contribute to the overall monitoring and operations of our on-premises and cloud network infrastructures including intra-DC, inter-DC, and Internet connectivity. Implement, manage and troubleshoot entire network stacks. Contribute to the automation of network infrastructure end-to-end including provisioning, management and monitoring.

  • Operating and maintaining large scale IP Networking Technologies and protocols such as: TCP/IP, BGP, OSPF, ISIS, VRF, VxLAN, EVPN, QoS, GRE, IPSEC, DNS, MACsec.

  • Multiple opportunities to deploy your expertise relating to Peering and Datacenter interconnect technologies: PNI, Transit, Exchange, Passive DWDM, Wave circuits.

  • Daily chances to utilize your creativity in designing and implementing networks at scale, such as automated deployments (e.g., ZTP).

What we need to see:

  • 5+ years of demonstrated ability in networking.

  • MS or BS Degree or equivalent experience

  • Ability to write and understand Python/Shell scripts and programs for automation, tools, frameworks, dashboards, alarms.

  • Familiarity with Arista, Cumulus OS, Fortinet OS, Juniper.

  • Hands-on experience with high performance network and network optimization in highly-available, large-scale, multisite, international environments.

  • Strong track record of alert response and resolution, within defined SLAs.

  • Experience with one or more of the following CSP environments: AWS, Azure, GCP, OCI.

  • Great communication and presentation skills.

Ways to stand out from the crowd:

  • Working knowledge of Mellanox/Cumulus OS.

  • Familiarity with leveraging tools such as Netbox/Nautobot, Prometheus, Grafana, Panoptes to monitor and manage a global network.

  • Passionate about innovating and investing in ground breaking technologies.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.

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

Python
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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