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Network Engineering Intern

TensorWave· Internships
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Las Vegas, NevadaInternPosted 2w ago

About the role

Internship at TensorWave focused on network fabric verification and tooling for GPU cluster deployments. Work with engineers to verify cabling and links during real deployments and develop Python tooling to accelerate future deployments; code merged into the team’s repository and used on a live cluster.

Responsibilities

  • Verify cabling and links during real cluster deployments
  • Write Python tooling to improve deployment speed and reduce errors
  • Contribute code that will be merged into the team’s repository and used on a live cluster

Qualifications

  • Current students in computer science, computer engineering, electrical engineering, IT, or network engineering programs (homelabs, CTF teams, and open-source contributions count) OR transitioning service member with communications, network, or cyber specialties OR professionals returning after a career break
  • One of: current enrollment in a relevant program; 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 vs Layer 3, and how routing works
  • Some programming or scripting experience, Python preferred; comfort on the Linux command line
  • Methodical troubleshooting: isolate, test one variable, and document findings
  • Ability to travel to Data Center sites 1-2 times

Skills

Required:Networking fundamentalsPythonLinux command line

Benefits

  • Paid Internship
Last updated Oct 8, 2026. Interested? Apply on the company site.
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Next-Gen AI Infrastructure

TensorWave: AI & HPC Cloud with AMD Instinct™

AI inferencemanaged inferenceLLM inferenceAI model deploymentlow-latency inferencescalable AIAI autoscalingGPU inference
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