About the role#
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 are looking for a Network Engineering Intern to join our team. You will work with the engineers who bring these fabrics up. You will leave with code merged into the team repository and used on a live cluster.
What you'll do#
- Verify cabling and links during real cluster deployments.
- Write Python tooling to make future deployments faster and less error-prone.
What you'll need#
- One of the following: current enrollment in a computer science, computer engineering, electrical engineering, IT, or network engineering program; military experience in communications, network, or cyber specialties; or 2+ years of prior work as a network or systems engineer or administrator.
- Solid networking fundamentals including TCP/IP, subnetting, Layer 2 versus Layer 3, and routing.
- Programming or scripting experience, with a preference for Python.
- Comfort using the Linux command line.
- A methodical approach to troubleshooting where you isolate issues and test variables.
- Ability to travel to Data Center sites 1-2 times.
Location & details#
- This is an on-site role based in Las Vegas, Nevada.
- The internship is for Summer 2027.
- This is a paid, full-time position.
About TensorWave
TensorWave is a cloud platform built for artificial intelligence workloads. The company uses AMD hardware exclusively to support tasks like model training, fine-tuning, and inference. Founded in 2023, the organization operates out of Las Vegas, Nevada. It maintains a staff of 51 to 200 employees.
How to get in at TensorWave
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