NVIDIA

Network Site Reliability Engineer

In short

This hybrid, lead-level Network Site Reliability Engineer role at NVIDIA in Santa Clara, CA owns the operational reliability of network infrastructure, driving automation, observability, and SLO achievement. The team partners with architecture, deployment, and SME teams to resolve issues and improve network operations. It requires 8+ years of network SRE/automation experience, proficiency with tools like Prometheus, Grafana, Ansible/Salt, Python or Go, and deep knowledge of network protocols such as BGP, VPN, EVPN, and VxLAN.

About the Role
The Enterprise Network Support and SRE team is looking to add a seasoned Technical SRE lead to help actualize the SRE vision for our network infrastructure. We are looking for an engineer who is passionate about the network and making its operation seamless with a focus on user experience. This role will offer several opportunities to solve problems by being hands-on with troubleshooting, focused on network automation, observability, documentation, and excellence in operations. This Network SRE will be dedicated to enhancing network operations, diligently working to minimize manual labor and achieve Service Level Objectives (SLOs) amongst many goals. Our approach includes minimizing reactive operational tasks, documenting KB articles that can be used by Bots, following through on RCAs, conducting blameless postmortems, and proactively identifying and mitigating network risks to foster continuous improvement.
This crucial role will be focused on user satisfaction and brilliance in Network Operations. This SRE engineer will focus on tackling significant projects and is committed to fostering a supportive atmosphere that offers the mentorship necessary for professional development and growth. They will bring a wealth of skills and experience to be a sought after mentor, who leads by example.
What you'll be doing
•Owning the operational aspect of the network infrastructure, ensuring its high availability and reliability.
•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 enhance operational efficiency.
•Monitoring network performance, identifying areas for improvement, and coordinating with relevant teams to execute enhancements.
•Collaborating with SMEs to resolve production issues swiftly and effectively, maintaining customer satisfaction.
•Identifying opportunities for operational improvements and partnering with teams to develop solutions that drive 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.
•8+ years of industry experience in network site reliability engineering, network automation, network operations, or related areas. Experience on both campus and data center networks.
•Familiarity with network management tools such as Prometheus, Grafana, Alert Manager, Nautobot/Netbox, BigPanda.
•Expertise in automating networks using frameworks such as Salt, Ansible, or similar.
•In depth experience in one or more of the following: Python, Go.
•Knowledge in network technologies such as TCP/UDP, IPv4/IPv6, Wireless, BGP, VPN, L2 switching, Firewalls, Load Balancers, EVPN, VxLAN, Segment Routing. Proven track record in network operations.
•Skills with ServiceNow and Jira.
•Knowledge of Linux system fundamentals is a plus.
•Systematic problem-solving approach, coupled with excellent communication skills and a sense of ownership and drive.
Ways to stand out from the crowd
•Track record of taking operational signals through means such as SNMP, Syslog, Streaming Telemetry to solve operational challenges.
•History of debugging and optimizing code; automating routine tasks.
•Experience with Mellanox/Cumulus Linux, Palo Alto firewalls, Netscalers and F5 load balancers.
•Previous SRE experience.
Additional Information
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 7, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Stop applying.
Get referred.

$10 in free credits

In just 60 seconds, fully on autopilot — Eraldt's AI agents read your CV, map the roles you fit, find live vacancies and the people who can refer you, write personal emails, and get you referred.

This isn't an application: your CV doesn't go to the company, and we don't promise a referral for this exact role.

Discover who else lands interviews on autopilot