Network Engineering Intern

At TensorWave the cluster is the network: thousands of GPUs only train as one machine if the fabric between them is built and validated correctly. We're looking for a Network Engineering Intern to join our team during an exciting phase of growth. In this role, you will work with the engineers who bring those fabrics up, verifying cabling and links during real cluster deployments and writing the Python tooling that makes the next deployment faster and less error-prone. You will leave with code merged into the team's repository and used on a live cluster.

Responsibilities

Work with engineers bringing up network fabrics; verify cabling and links during real cluster deployments; write Python tooling that makes deployments faster and less error-prone; merge code into the team's repository and use it on a live cluster

Requirements

Enrollment in a relevant program (computer science, computer engineering, electrical engineering, IT, or network engineering), military experience in communications, network, or cyber, or 2+ years as a network or systems engineer or administrator; Solid networking fundamentals: TCP/IP, subnetting, Layer 2 versus Layer 3, and how routing works; Some programming or scripting experience, Python preferred; comfort on the Linux command line; Methodical troubleshooting; Able to travel to Data Center sites 1-2 times

Nice to have

CCNA, JNCIA, Network+, or equivalent; BGP or EVPN lab experience; exposure to Arista EOS, SONiC, or other data center NOS; Git, Ansible, or NetBox experience; HPC or GPU cluster exposure; familiarity with RDMA or RoCE concepts

Benefits

Paid internship