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Co Op Computer Science Jobs in Ontario (NOW HIRING)

Magna

Computer Vision Engineering Co-op

Toronto, ON

CA$24.50 - CA$28.50/hr

PEY/co-op student in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or an equivalent engineering, mathematics, or science discipline. * Strong Python ...

Nokia

Software Designer Co-op/Intern

Kanata, ON ยท On-site

Position: Software Designer Co-op/Intern Number of Position(s): 1 Duration: 4 Months+ Date ... Solid computer science fundamentals (data structures, algorithms, SQL) * Programming skills (Java ...

Nokia

Software Test Co-op/Intern

Kanata, ON ยท On-site

Software Test Co-op/Intern Number of Position(s): 2 Duration: 4 Months+ Date: - ( Fall Term Sept ... diploma in Computer Science, Computer Systems Engineering, Electrical Engineering, Computer ...

Nokia

Software Designer Co-op/Intern

Kanata, ON ยท On-site

Position: Software Designer Co-op/Intern Number of Position(s): 1 Duration: 4 Months + Date ... Engineering or Computer Science or a related field with an accredited school in Canada.

Nokia

DSP Firmware Engineering Co-op/Intern

Kanata, ON ยท On-site

DSP Firmware Engineering Co-op/Intern Number of Positions: 6 Duration: 4 months Date: September ... computer science, or a related field with an accredited school in Canada. You're a Great Fit If You ...

Nokia

Test Automation Co-op/Intern

Kanata, ON ยท On-site

Test Automation Co-op/Intern Number of Position(s): 1 Duration: 4 Months Date: - ( Fall Term Sept ... Diploma in Computer Science, Computer Systems Engineering, Electrical Engineering, Software ...

Nokia

Web Developer Co-op/Intern

Kanata, ON

Web Developer Co-op/Intern Number of Position(s): 1 Duration: 4 Months+ Date: - ( Fall Term Sept ... science, Computer Engineering, or a related field with an accredited school in Canada.

University of Toronto

MEng Co-op Officer

Toronto, ON

CA$91K/yr

Faculty of Applied Science & Engineering Department: FASE: Engineering Career Centre Campus: St ... The MEng Co-op Officer will work alongside highly skilled experiential learning professional ...

mcCallumSather

Mechanical Engineer Co-Op

Hamilton, ON ยท On-site

CA$23 - CA$26/hr

Ensure CAD/Revit BIM MEP Standards, Quality Assurance and Quality Control procedures are followed ... Sciences/ Mechanical Engineering Technologist ยท Preference given to those with at least one ...

Clio

Software Developer, Co-op

Toronto, ON ยท Hybrid

CA$67K/yr

We are currently seeking a new Software Developer, Co-op to join our Engineering team out of hub ... Excellent computer science fundamentals: data structures, algorithms; programming languages, SQL;

Nokia

Software Tester - Co-op/Intern

Kanata, ON ยท On-site

Software Tester - Co-op/Intern Number of Position(s): 1 Duration: 4 Months Date: - ( Fall Term Sept ... Currently a candidate for a Master's, Bachelor's degree, or Diploma in Computer Science, Software ...

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Co Op Computer Science information

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How much do co op computer science jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for co op computer science in Ontario is $27.90, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $33.41 per hour, depending on experience, location, and employer.

What are 5 jobs you can get with computer science?

With a computer science background, common jobs include software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These roles often require programming skills, knowledge of operating systems, and familiarity with tools like databases and cloud platforms.

What is a side hustle for computer science?

A side hustle for someone in computer science often involves freelance programming, web development, app creation, or offering tech consulting services outside of their main job. These activities typically require skills in coding, problem-solving, and familiarity with tools like Git or cloud platforms, and can be done on flexible schedules to supplement income.

What types of projects or tasks do Computer Science Co-op students typically work on during their placement?

As a Computer Science Co-op student, you can expect to work on a variety of hands-on projects, such as developing software features, assisting with bug fixes, automating workflows, or performing quality assurance testing. Many companies also involve Co-ops in team meetings, code reviews, and collaborative development efforts, ensuring you gain a holistic understanding of the software development lifecycle. Your daily tasks may vary, but you will often work alongside experienced developers and receive mentorship to help build your technical and professional skills. This real-world experience not only enhances your resume but also helps you build a valuable professional network for future career opportunities.

What are the key skills and qualifications needed to thrive in the Co Op Computer Science position, and why are they important?

To thrive as a Co Op Computer Science, a strong foundation in programming languages (such as Java, Python, or C++), problem-solving skills, and current enrollment in a computer science degree program are essential. Familiarity with version control systems like Git, coding environments such as Visual Studio Code, and exposure to databases or basic cloud platforms are commonly expected. Strong communication, time management, and willingness to learn help you stand out and adapt quickly to new tasks and team environments. These skills and qualities are vital for successfully contributing to real-world software projects while gaining practical experience in a professional setting.

What is a Co Op Computer Science job?

A Co-Op Computer Science job is a paid, structured work opportunity that allows students to gain hands-on experience in the field while completing their degree. Co-op positions are typically full-time and last for a semester or more, offering real-world exposure to software development, data analysis, cybersecurity, and other technical areas. These roles help students build professional skills, expand their network, and improve job prospects after graduation. Participants often alternate between work terms and academic semesters to balance learning and industry experience.

What is a co-op computer science?

A co-op in computer science is a structured program that combines academic coursework with paid work experience in the industry. It allows students to apply their technical skills, such as programming and software development, in real-world settings while earning academic credit or compensation.

Which is difficult, CS or IT?

Computer Science (CS) and Information Technology (IT) are different fields; CS typically involves programming, algorithms, and software development, which can be more theoretical and challenging for some. IT focuses on managing and supporting computer systems and networks, often requiring practical skills and certifications. The difficulty depends on individual strengths and interests, but CS generally demands more in-depth technical and mathematical knowledge.
What are the most commonly searched types of Computer Science jobs in Ontario? The most popular types of Computer Science jobs in Ontario are:
What are popular job titles related to Co Op Computer Science jobs in Ontario? For Co Op Computer Science jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Co Op Computer Science jobs in Ontario look for? The top searched job categories for Co Op Computer Science jobs in Ontario are:
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Co Op Computer Science jobs near you
Computer Vision Engineering Co-op

Computer Vision Engineering Co-op

Magna

Toronto, ON

CA$24.50 - CA$28.50/hr

Full-time

Posted 11 days ago

Job description

Job descriptions may display in multiple languagesbased on your language selection.

What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.

Job Responsibilities:

Position Overview
We are seeking a motivated Computer Vision Engineering Co Op Student to join our team. This role requires a basic understanding of computer vision and machine learning technologies, especially for industrial applications such as defect detection, 3D reconstruction, quality assurance, and process optimization. Strong Python programming skills are required. Additionally, knowledge of relevant mathematics, statistics, machine learning techniques, data pipelines, and software development workflows is essential.

Position Term


This position will commence on September 1, 2026, and conclude on August 27, 2027.


Essential Duties and Responsibilities

  • Perform and present data analysis results based on requests from supervisors.

  • Create data and machine learning pipelines on one of the leading cloud platforms.

  • Participate in the development and improvement of software solutions.

  • Test and evaluate developed solutions.


Qualifications

  • PEY/co-op student in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or an equivalent engineering, mathematics, or science discipline.

  • Strong Python programming experience is required.

  • Familiarity with deep learning frameworks (TensorFlow or PyTorch) is required.

  • Familiarity with cloud platforms is preferred.

  • Experience with software development processes is preferred.

  • Experience in computer vision tasks such as image classification, object detection, semantic segmentation, or 3D reconstruction is considered an asset.

  • Experience with ROS2 is preferred.


Education / Experience

  • Currently attending university (minimum 3rd year) and seeking a PEY/co-op term.

Compensation

  • The compensation range for this position is $24.50 to $28.50 per hour.

Special Knowledge / Skills

  • Strong technical and analytical skills.

  • Ability to work on complex engineering systems using creative approaches.

  • Proficient in Microsoft Office products (Excel, Word, and PowerPoint).

  • Strong professional communication skills, both written and verbal.


Physical Demands / Work Environment

  • Normal amounts of sitting or standing, with average mobility required to move throughout an office environment.

  • Ability to perform a normal amount of computer-based work.

  • The candidate may be exposed to an automotive manufacturing environment.

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type:
Fixed Term (Fixed Term)
Group:
Magna Corporate

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