Systems Engineering & AI Workflows Intern

Systems Engineering & Ai Workflows Intern

Join us today and make a difference in people's lives.

We are seeking a motivated Systems Engineering & AI Workflows Intern to support exploratory projects focused on applying AI tools to systems engineering workflows. This internship provides hands-on exposure to evaluating and improving AI-assisted workflows for engineering documentation, analysis, and process support.

Areas interns will be exposed to:

• Evaluation of AI-generated outputs for engineering documentation and workflows
• Basic workflow testing and validation for multi-step engineering processes
• Knowledge base organization, formatting, and clarity improvements
• Prompt iteration and example-based testing for AI tools
• Technical communication with various functional teams in product development

Why LivaNova is a great opportunity:

• Gain exposure to real-world systems engineering workflows
• Learn how emerging AI tools are evaluated and applied in engineering contexts
• Receive mentorship from experienced engineers
• Contribute to practical, well-scoped summer projects

Qualifications:

• Currently pursuing a degree in Systems Engineering, Computer Engineering, Computer Science, Electrical Engineering, or related field
• Interest in AI, automation, or engineering productivity tools
• Exposure to Python or similar scripting languages (academic or personal projects acceptable)
• Strong written communication and documentation skills
• GPA of 3.6 or higher

Pay Transparency, Timeline & Location:

• A reasonable estimate of the hourly rate for this position is $25/hr.
• Internship Dates: May 18th - August 7th; internships may be extended if there is opportunity and availability.
• On-site, Mon-Fri at our site in Clear Lake, TX

Valuing different backgrounds:

LivaNova values equality and diversity. We are committed to ensuring that our recruitment process is fair, transparent and free from unlawful discrimination. Our selection process is driven by the key demands/requirements for the role rather than bias or discrimination on the basis of a candidate's sex, gender identity, age, marital status, veteran status, non-job-related disability/handicap or medical condition, family status, sexual orientation, religion, color, ethnicity, race or any other legally protected classification.