Network Engineering Intern

TensorWave Inc.; Las Vegas (NV); On-site; USD 26,000 - 35,000; Part time

Job summary

TensorWave is seeking a Network Engineering Intern to join during a growth phase. You will verify cabling and links during real cluster deployments and write Python tools to accelerate the next deployment, with code merged into the team repository for live use.

The internship targets current students, transitioning service members, or professionals returning after a career break, with strong fundamentals in networking and Python scripting, plus willingness to travel to data center sites 1-2

Qualifications

• Current students in CS/CE/IT programs or related field.
• Hands-on networking experience or coursework preferred.
• Some programming or scripting experience, Python preferred; Linux CLI familiarity.

Responsibilities

• Verify cabling and links during real cluster deployments.
• Write Python tooling to speed up deployments and reduce errors.
• Collaborate with engineers to ensure fabric readiness for large GPU clusters.

Skills

Python

Linux

Networking basics

TCP/IP

Education

Pursuing CS/CE/IT

Tools

Git

Ansible

NetBox

Job description

About TensorWave

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

About TensorWave

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

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’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.

Who You Are

This internship is open to three kinds of candidates. We evaluate all three against the same bar and none is a second-tier track.

• Current students
  • Computer science, computer engineering, electrical engineering, IT, or network engineering programs. Homelabs, CTF teams, and open-source contributions count.
• Transitioning service members and veterans
  • Communications, network, and cyber specialties map directly. Examples: Army 25-series signal; Navy IT; Air Force 1D7 cyber defense operations; USMC 06-series communications. Hands-on experience standing up and troubleshooting networks under pressure is exactly what we need.
• Professionals returning after a career break
  • Network engineers, systems administrators, and IT operations professionals returning after a break. If your last role predates modern automation, that is what the internship is for.
  • 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 versus Layer 3, and how routing works.
  • Some programming or scripting experience, Python preferred; comfort on the Linux command line.
  • Methodical troubleshooting: you isolate, test one variable, and write down what you found.
  • Able to travel to Data Center sites 1-2 times.

Preferred Qualifications

• 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.

Internship Information

• Paid Internship
• May - August (12 weeks)
• Tuesday - Friday, 8 hours

Equal Employment Opportunity

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

Reasonable Accommodations

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact [e-mail].

Employment Eligibility

All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.

Background Checks

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

Data Privacy Notice

By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.