Innovation Research & Development Lab Intern

About the Role

Trace3 is seeking an Innovation Research & Development Lab Intern to support the Innovation R&D Lab. This role involves building and maintaining Amazon Web Services (AWS) cloud environments for incubator prototypes, proofs of concept, and minimum viable products (MVPs). The intern will work with R&D engineers, develop practical cloud engineering skills, and learn about emerging technology areas.

Key Responsibilities

• Build and configure AWS environments from engineer-provided designs, templates, and checklists to support prototypes, proofs of concept, and MVPs.
• Learn core AWS lab standards, including compute, storage, networking, and identity and access management.
• Deploy vendor and open-source technologies under evaluation in lab environments for technical review.
• Prepare test environments, sample data, and basic validation scripts for proofs of concept and technical reviews, and capture results.
• Automate small lab tasks with scripting and learn infrastructure as code tools.
• Document build steps, configurations, and lessons learned.
• Track and report resource usage and cost for assigned environments.
• Troubleshoot environment issues and escalate blockers.
• Observe team meetings, technical reviews, and vendor briefings, and prepare notes.
• Complete a capstone project and present it to the team.
• Work within approved lab accounts, adhering to security, access, and cost controls.

Requirements & Tech Stack

• Enrollment in the Junior or Senior year of an undergraduate program at an accredited college or university.
• Pursuing a field of study applicable to the Innovation R&D Lab internship, such as computer science, information technology, cybersecurity, cloud computing, or a related field.
• Fundamental understanding of cloud computing concepts.
• Basic familiarity with Linux, the command line, and at least one scripting language (e.g., Python, Bash, PowerShell).
• AWS experience or a foundational certification (e.g., AWS Certified Cloud Practitioner) is ideal but not required.
• Familiarity with Git and infrastructure as code tools is a plus.
• Interest in cybersecurity, identity, AI, or agentic technologies is a plus.
• Excellent technical documentation and artifact creation skills.
• Excellent oral and written communication skills.
• Cumulative grade point average (GPA) of 3.0 or better.
• Academic or professional/internship experience working in a professional setting is a plus.
• Ability to work independently and accept direction.
• Willingness to learn new technologies and ask questions.
• Self-motivated individuals with a customer mindset.
• Enthusiasm for technical problem-solving with attention to detail.
• Availability to work 40 hours per week throughout the internship.