Data Center Networking Engineer - 400G/800G & GPUs

Roblox; San Mateo (CA); On-site; USD 243,000 - 295,000; Full time

Benefits offered by this job

Equity compensation

Job summary

Roblox’s Data Center Network Engineering (DNE) team designs, deploys, and operates Roblox's large-scale data center network, including GPU clusters for AI training and inference. The role focuses on scalable design, validation of new technologies, cross-team coordination, and reliability improvements across data centers in a collaborative environment.

Based at our San Mateo headquarters, this full-time onsite position offers equity compensation and a base pay range described on the job page.

Qualifications

• 6+ years of experience designing and deploying large-scale data center fabrics (CLOS).
• Experience with GPU clusters or AI/ML networking is preferred.
• Proficiency deploying and managing 400G and 800G hardware.
• Skilled in configuring and troubleshooting large-scale BGP deployments.
• Strong knowledge of network protocols (TCP/IP, UDP, DHCP, DNS) with IPv4/IPv6 experience.
• Preferred: QoS, IS-IS, MPLS, RSVP-TE, DWDM, commercial NAT, open-source hardware and software.

Responsibilities

• Drive the design, deployment, and operations of Roblox's large-scale data center network, including networking for GPU clusters.
• Design, qualify, and validate new technologies and hardware for scalable solutions.
• Coordinate data center builds and projects with multiple teams, including weekly cross-team calls.
• Work with Network Reliability Systems, Data Center Ops, Capacity Planning, Supply Chain, and Compute/ML teams to address network challenges early.
• Contribute to automation and telemetry that improve efficiency, reliability, and visibility.

Skills

Data center fabrics (CLOS)

GPU clusters / AI networking

400G / 800G hardware

BGP deployments

TCP/IP, UDP, DHCP, DNS

IPv4 / IPv6

QoS

IS-IS

MPLS

RSVP-TE

DWDM

NAT

Job description

Roblox’s Data Center Network Engineering (DNE) team designs, deploys, and operates Roblox's large-scale data center network, including GPU clusters for AI training and inference. The role focuses on scalable design, validation of new technologies, cross-team coordination, and reliability improvements across data centers in a collaborative environment.

Based at our San Mateo headquarters, this full-time onsite position offers equity compensation and a base pay range described on the job page.