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

Date posted 11/08/2026

Category Interns/Temp Hire Type Intern Job ID 19227 Base Salary Range $0-$0 Remote Eligible No Date Posted 11/08/2026

We Are

Drive technology innovations that shape the way we live and connect. Our technology drives the Era of Pervasive Intelligence, where smart tech and AI are seamlessly woven into daily life. From self-driving cars and health-monitoring smartwatches to renewable energy systems that efficiently distribute clean power, Synopsys creates high-performance silicon chips that help build a healthier, safer, and more sustainable world.

Internship Experience

At Synopsys, interns dive into real-world projects, gaining hands-on experience while collaborating with our passionate teams worldwide - and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path. Join us and start shaping your future today!

Mission Statement

Our mission is to fuel today's innovations and spark tomorrow's creativity. Together, we embrace a growth mindset, empower one another, and collaborate to achieve our shared goals. Every day, we live by our values of Integrity, Excellence, Leadership, and Passion, fostering an inclusive culture where everyone can thrive - both at work and beyond.

What You'll Be Doing

•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discrepancies by identifying missing content, inconsistent parameter names, numeric differences, incorrect units, outdated references, and formatting issues across multiple document formats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

What You'll Need

• 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

Key Program Facts

Program Length: 16-month internship

Location: Ottawa, Canada

Working Model: Hybrid working model

Full-Time/Part-Time: Full-time

Start Date: May 2027

Application Requirements

Please submit one combined document containing all of the following:

• A current resume

• A technical or professional writing sample

• A link to a GitHub repository, portfolio, AI project, automation project, or relevant code sample (if available)

• A short description of a repetitive documentation or engineering process you would like to improve using AI or automation

Equal Opportunity Statement

Synopsys is committed to creating an inclusive workplace and is an equal opportunity employer. We welcome all qualified applicants to apply, regardless of age, color, family or medical leave, gender identity or expression, marital status, disability, race and ethnicity, religion, sexual orientation, or any other characteristic protected by local laws. If you need assistance or a reasonable accommodation during the application process, please reach out to us.

Synopsys Canada ULC values the diversity of our workforce. We are committed to provide access & opportunity to individuals with disabilities and will provide reasonable accommodation to individuals throughout the recruitment and employment process. Should you require an accommodation, please contact hr-help-canada@synopsys.com.