Network Site Reliability Engineer

Reposted 18 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
168K-265K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Network Site Reliability Engineer will ensure high availability of network infrastructure, work on incident management, implement automation, and drive improvements for operational excellence.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking a highly skilled and experienced Network Site Reliability Engineer (SRE) to join our Enterprise Network Operations and SRE team. In this role, you will be pivotal in implementing our vision for a reliable and efficient network infrastructure. The ideal candidate is passionate about network operations and committed to enhancing the user experience. You'll have the opportunity to solve complex network challenges using hands-on debugging and by focusing on network automation, observability, documentation, and operational excellence. Your primary responsibilities will include minimizing manual operational tasks to achieve and maintain Service Level Objectives (SLOs), proactively identifying and mitigating network risks to promote continuous improvement, developing knowledge base articles for automation and bots, and conducting blameless postmortems & following through on Root Cause Analyses (RCAs). This is a critical position focused on ensuring user satisfaction and brilliance in network operations. The role requires a wealth of skills and experience in network operations.

What you will be doing:

  • Owning the operational aspect of the network infrastructure, ensuring its high availability and reliability, actively working on network incidents and service requests.

  • Partnering with architecture and deployment teams to guarantee that new implementations are supportable and align with production standards.

  • Advocating for and implementing automation to reduce toil and improve operational efficiency.

  • Monitoring network performance, identifying areas for improvement, and collaborating with relevant teams to implement refinements.

  • Collaborating with domain experts across functions to resolve production issues swiftly and effectively, ensuring customer happiness.

  • Discovering opportunities for operational improvements and teaming up with colleagues to devise solutions that enhance excellence and sustainability in network operations.

What we need to see:

  • BS degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.

  • A minimum of 10 years of industry practice in network operations or related fields concentrating on automation & site reliability engineering. Familiarity with both enterprise and the data center networks is critical.

  • Proficiency in network fundamentals & fixing complex network issues with expertise in network tech like TCP/UDP, IPv4/IPv6, Wireless, BGP, ISIS, VPN, L2 switching, Firewalls, Load Balancers, Data Center Network technologies, etc. Consistent track record in network operations.

  • Monitoring Tools: Familiarity with network management tools such as Prometheus, Grafana, Alert Manager, Nautobot/Netbox, BigPanda.

  • Network Automation: Expertise in automating networks using frameworks such as Salt, Ansible, or similar.

  • Process & Service Tooling: Skills with ServiceNow, Jira & foundational knowledge of ITIL framework

  • System Administration: Knowledge of Linux system fundamentals.

  • Problem-Solving and Communication: Detailed problem-solving approach, critical thinking, coupled with good interpersonal skills and a solid grasp of ownership and drive.

Ways to stand out from the crowd:

  • Support Automation: Track record of taking operational signals through means such as SNMP, Syslog, Streaming Telemetry to solve operational challenges.

  • Platform Exposure: Experience with Mellanox/Cumulus Linux, Palo Alto firewalls, Netscalers and F5 load balancers.

  • Technical Proficiency in Programming and Scripting: Competence in Python, Go, or related programming languages. Skilled in constructing intricate systems to supervise and regulate network operations, surpassing elementary script development.

  • Network Technologies: Proficient knowledge of one or more of the following technologies: VXLAN/EVPN at Scale, MPLS, RSVP, Segment Routing, SDWAN, SASE Platforms

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 9, 2025.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

Alert Manager
Ansible
Bgp
Bigpanda
Data Center Network Technologies
Firewalls
Go
Grafana
Ipv4
Ipv6
Isis
Itil
JIRA
L2 Switching
Linux
Load Balancers
Nautobot
Netbox
Prometheus
Python
Salt
Servicenow
Tcp
Udp
Vpn
Wireless
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The Company
HQ: Santa Clara, CA
21,960 Employees
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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