Summer 2026 Industrial Placement (Electronics, Machine Learning, R&D)

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Synopsys is offering a Summer 2026 Industrial Placement in Electronics, Machine Learning and R&D for Canadian universities, a full-time 40-hour week May to August with hybrid remote and on-site options and pay CAD 38 to 43 per hour. You’ll study and summarize ML algorithms, apply ML to simulation decisions, refine predictions as new data arrives, and present findings to the team. Ideal candidates pursue a Master’s or PhD in Electrical Engineering, Computational Science, CS, Software Engineering or Physics, with hands-on ML experience, strong Python and C++ skills, and knowledge of electromagnetics; PhD students are strongly preferred. To apply, tailor your resume to ML projects, include a portfolio or GitHub, demonstrate collaboration and communication, and confirm eligibility for Canada and the hybrid model.

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General Information

Job Title Summer 2026 Industrial Placement (Electronics, Machine Learning, R&D) Job ID 13883 Country Canada City Canada Off-Site State/Province Off-Site Date Posted 22-Dec-2025 Job Category Interns/Temp Job Subcategory Ansys Intern Hire Type Intern Remote Eligible Yes

Descriptions & Requirements

Job Description and Requirements

Introduction:

 

We drive technology innovations that shape the way we live and connect. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and Multiphysics simulation and analysis. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow

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:

• Study and summarize existing machine learning algorithms and frameworks used within the team and company.
• Apply one or more machine learning techniques to make predictions on decisions that potentially appear during simulation.
• Dynamically refine predictions as more information becomes available during the simulation process.
• Summarize findings and present research achievements to the team.

What You’ll Need:

• Currently enrolled in a full-time degree program at a Canadian university.
• Pursuing a Master’s or PhD in Electrical Engineering, Computational Science, Computer Science, Software Engineering, or Physics.
• Familiarity with machine learning and prior experience with ML-related projects.
• Proficiency in programming languages such as Python (strongly preferred) and C++.
• Understanding of the physics of electromagnetics.
• PhD students are strongly preferred.

Key Program Facts:

• Program Length: May 2026 – August 2026 (Full-Time, 40 hours per week)
• Location: Canada (specific city or remote options may be available)
• Working Model: Hybrid (combination of remote and on-site work, details to be discussed)
• Full-Time/Part-Time: Full-Time
• Start Date: May 2026
• Salary Information: The base salary range across Canada for this role is between $38.00-$43.00 CAD per hour. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details upon request.

 

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 [email protected].