NVIDIA is looking for a Senior Network Operations Engineer to support and maintain our cloud and datacenter network infrastructures. This network serves the needs across the whole software stack for NVIDIA, from Graphics Drivers to Autonomous Vehicles and Artificial Intelligence.
In this role, the Senior Network Operations Engineer will remediate critical alerts within defined SLAs, triage production impacting network incidents, and interact with internal customers on network related issues. They will also be responsible for engaging with external vendors to remediate hardware and software issues, and participate in project related work such as network device upgrades and capacity augmentations. An ideal candidate will possess a wide range of skills, including alert monitoring & resolution in large-scale networks and CSP environments, outstanding troubleshooting skills, understanding of L3 underlay networks, and network protocol knowledge in large multi-vendor infrastructures.
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.
Drive operational improvements in change management and daily operations by following procedures.
Manage and operate large scale IP network technologies and infrastructures.
Utilize your skills in Peering and Datacenter interconnect technologies: PNI, Transit, Exchange, Passive DWDM, Wave circuits.
Monitor and support the network health of on-premises and cloud infrastructures.
Collaborate and develop workflow enhancements while documenting best practices.
What we need to see:
Deep knowledge and experience of TCP/IP, BGP, OSPF, MPLS, IS-IS, VxLAN, EVPN, QoS, GRE, IPsec, DNS, and MACsec.
5+ years of experience in network operations.
Skilled in network troubleshooting techniques and demonstrating creative problem-solving abilities.
Strong track record of alert response within defined SLAs and Incident management.
Experience with one or more of the following CSP environments: AWS, Azure, GCP, OCI.
Familiarity with Arista, Fortinet and Juniper.
Hands-on experience with contributing to tooling and automation for provisioning, monitoring, and managing complex network infrastructures.
Bachelor’s degree in Computer Science, related technical field, or equivalent experience.
Excellent verbal and written communication skills.
Ways To Stand Out From The Crowd:
Solid understanding of Mellanox/Cumulus OS and Infiniband technology.
Skilled in Unix/Linux system administration, with the ability to write and understand Python/Shell scripts to improve efficiency in hyperscale environments.
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’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 outstanding opportunities in deep learning cloud solutions.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.You will also be eligible for equity and benefits.
Top Skills
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.”
