Engineering Documentation and AI Automation Internship (16-Month Co-op)

Our internship programs offer real-world projects, hands-on experience, and opportunities to collaborate with passionate teams globally.

As an Engineering Documentation and AI Automation Intern at Synopsys, you will dive into real-world projects, gaining hands-on experience while collaborating with our teams worldwide,and having fun in the process!

Responsibilities

• Review and enhance technical documentation by verifying internal and customer-facing engineering documents for accuracy, completeness, consistency, and clarity, while creating, formatting, and updating technical content, tables, diagrams, and supporting data
• Design and implement AI-assisted automation workflows by analyzing existing documentation processes, developing Python scripts and utilities to compare information across Word, Excel, PowerPoint, PDF, and structured data sources, and creating reusable prompts, validation rules, templates, and AI agents for approved documentation use cases
• Detect and resolve documentation discrepancies by identifying missing content, inconsistent parameter names, numeric differences, incorrect units, outdated references, and formatting issues across multiple document formats
• Collaborate with cross-functional teams by working with subject-matter experts, engineering, applications, and documentation teams across multiple geographical regions to understand technical changes and translate them into clear documentation
• Evaluate and document automation solutions using measurable criteria such as accuracy, coverage, processing time, and reduction in manual effort, while implementing human-review checkpoints to verify AI-generated results and presenting project outcomes to technical stakeholders

Requirements

• Currently pursuing a Bachelor's degree in Computer Engineering, Electrical Engineering, Software Engineering, Computer Science, or a related field
• Completion of at least three years of study before the internship begins, with an expected graduation date of April 2029 preferred
• Strong written and verbal communication skills in English with demonstrated ability to explain technical information clearly and accurately
• Good Python programming skills, including the ability to write readable, maintainable, and well-documented code
• Strong proficiency with Microsoft Word, Excel, and PowerPoint
• Strong analytical and logical problem-solving skills with demonstrated attention to detail when reviewing technical content, numerical data, tables, and diagrams
• Ability to work independently while collaborating with cross-functional and geographically distributed teams, with the capability to prioritize assignments, manage deadlines, and take ownership of tasks through completion

Preferred Qualifications

• Familiarity with generative AI, Large Language Models, prompt development, retrieval-augmented generation, or AI agent workflows
• Experience using LLM APIs, Python-based AI libraries, Microsoft Copilot, Azure AI services, or automating document and data-validation workflows
• Familiarity with parsing or generating Word, Excel, PowerPoint, PDF, XML, JSON, YAML, Markdown, or HTML content
• Experience with scripting languages such as Python, Tcl, Perl, C shell, Linux, Git, regular expressions, or command-line tools
• Experience creating technical diagrams using Microsoft Visio or similar tools
• Knowledge of computer architecture, digital design, memory interfaces, or semiconductor IP
• Participation in AI projects, hackathons, research projects, open-source work, or personal automation projects