Network Engineering Intern

TensorWave • Las Vegas, NV

22h

About The Position

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.

Requirements

• Current enrollment in a Computer Science, Computer Engineering, Electrical Engineering, IT, or Network Engineering program; or military experience in communications, network, or cyber; or 2+ years of prior work 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 skills: ability to isolate, test one variable, and document findings.
• Able to travel to Data Center sites 1-2 times.

Nice To Haves

• CCNA, JNCIA, Network+, or equivalent certification.
• 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.

Responsibilities

• Verify cabling and links during real cluster deployments
• Write Python tooling to improve deployment speed and reduce errors
• Merge code into the team's repository for use on a live cluster

Benefits

• Paid Internship

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed