AI Test Automation Intern
About The Position
GROW WITH US: Tandem Diabetes Care creates new possibilities for people living with diabetes, their loved ones, and their healthcare providers through a positively different experience. We’d love for you to team up with us to “innovate every day,” put “people first,” and take the “no-shortcuts” approach that has propelled us to become a leader in the diabetes technology industry. STAY AWESOME: Tandem Diabetes Care is proud to manufacture and sell the Tandem Mobi system and t:slim X2 insulin pump with Control-IQ+ technology — an advanced predictive algorithm that automates insulin delivery. But we’re so much more than that. Our company’s human-centered approach to design, development, and support delivers innovative products and services for people who use insulin. Because many of our own team members live with diabetes, or have a loved one impacted by diabetes, the work is personal, and we are committed to the cause. Learn more at tandemdiabetes.com A DAY IN THE LIFE: The AI Test Automation Intern will join the Systems Integration & Test organization and contribute to the development of AI powered test and analysis tools used to improve software quality, system reliability, and security posture. This role is intended for a student with a background or strong interest in AI/ML engineering and cybersecurity, who is excited to apply these skills to automated test systems, code analysis, and large scale test result data. The intern will work alongside test automation, systems, and security engineers to help design and prototype tools that detect trends, anomalies, and potential risks in test execution and code artifacts—while ensuring alignment with cybersecurity and regulatory requirements applicable to medical devices. The position emphasizes hands on development, experimentation, and prototyping, rather than traditional manual testing or heavy documentation.
Requirements
- Must be available to work full time for the duration of the 12-week summer internship
- Able to work effectively in a team environment.
- Able to alter behavior and opinions due to new information.
- Experience with Microsoft Word, Excel and PowerPoint.
- Clear and effective written documentation skills.
- Analytical and problem-solving mindset with an interest in improving processes and methodologies.
- Ability to read and follow procedures and flow diagrams.
- Proficient knowledge of at least one programming language, preferably Python or JavaScript.
- Familiarity with regulated environments or secure coding practices.
- Able to assert own ideas and persuade others through effectively consolidating, evaluating, and presenting relevant information.
- High School Diploma or equivalent, required.
- Currently pursuing a Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a closely related field.
- Available to work full time for the 12 week summer internship period.
Nice To Haves
- Experience with Machine Learning libraries preferred
- Exposure to log analysis, time-series data analysis, or anomaly detection preferred.
- Prior academic projects, industry experience, or volunteer work related to machine learning, artificial intelligence, or data science preferred.
- Intern experience in related environment, preferred.
Responsibilities
- Design and develop AI‑assisted tools or prototypes to analyze: Automated test results (e.g., failures, instability, regressions, soak trends) Logs, metrics, and system telemetry Source code or test scripts for patterns, risks, or quality gaps
- Apply machine learning, statistical analysis, or heuristic techniques to identify anomalies, trends, or signals that are difficult to detect with traditional rule‑based approaches
- Assist in integrating AI‑driven analysis into existing test automation pipelines or workflows
- Explore approaches for automated test prioritization, failure clustering, or root-cause hints
- Collaborate with cybersecurity and systems teams to ensure AI tools: Follow approved data‑handling and access controls Do not expose proprietary, regulated, or sensitive information Align with internal cybersecurity, privacy, and regulatory expectations
- Help evaluate AI tool outputs for accuracy, explainability, and usefulness in a regulated testing environment
- Implement proof‑of-concept scripts, services, or utilities to support experimentation
- Document technical designs, assumptions, and limitations at a level appropriate for engineering handoff and compliance review
- Use standard development tools (Git, IDEs, issue tracking) to manage work
- Ensures compliance with company policies, including Privacy/HIPAA, and other legal and regulatory requirements.
- Performs other duties as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
