Drimva

Trace3

Innovation Research & Development Lab Intern

Houston, TX +1 · Internship · Posted Oct 26, 2026

Location
Houston, TX
Houston, Texas, United States
Experience
No years specified; prior professional AWS experience is not required.
Education
Undergraduate program enrollment, junior or senior year, at an accredited college or university; applicable field of study.

About the job

Supports Trace3’s Innovation R&D Lab by building and maintaining AWS environments for prototypes, proofs of concept, MVPs, and technical reviews of emerging technologies.

What you'll do

  • Build and configure AWS lab environments from designs, templates, and checklists; deploy technologies under evaluation and prepare test materials.
  • Automate scoped lab tasks, document configurations and results, track resource use and cost, and troubleshoot or escalate issues.
  • Observe technical reviews and vendor briefings, take notes, and complete and present a capstone project.

What they ask for

  • Enrollment in the junior or senior year of an undergraduate program in a relevant field, such as computer science, information technology, cybersecurity, or cloud computing.
  • Fundamental understanding of cloud computing concepts, including virtualization, storage, networking, and the shared responsibility model.
  • Basic familiarity with Linux, the command line, and at least one scripting language.
  • GPA of 3.0 or better and availability to work 40 hours per week throughout the internship.

Nice to have

  • Hands-on AWS experience or a foundational certification, such as AWS Certified Cloud Practitioner; Git and infrastructure as code familiarity.
  • Interest in cybersecurity, identity, AI, or agentic technologies; academic, professional, or internship experience in a professional setting.

Pay

$18 — $27 USD (base salary)

Tools

Amazon Web Services (AWS), Linux, Python, Bash, PowerShell, Git

AI focus

Deploy AI tools under evaluation in lab environments for technical review; interest in AI or agentic technologies is a plus.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)