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Full Time Computer Engineer Jobs in Toronto, ON (NOW HIRING)

Hitachi

Senior Telecom Engineer

Toronto, ON · On-site

CA$119K/yr

Engineering & Science Job Schedule: Full time Remote: No About Us A career at Hitachi Rail will ... Computer Engineering or Information Technology Qualifications/ University Degree 2 to 5 years of ...

DNAstack

Software Engineer (II)

Toronto, ON · Remote

... full-time, 12-month contract and help us design and develop products to power breakthrough ... Degree in Computer Science, Computer Engineering or related field * Self-starter attitude ...

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Full Time Computer Engineer information

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How much do full time computer engineer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for full time computer engineer in Toronto, ON is $30.21, according to ZipRecruiter salary data. Most workers in this role earn between $17.43 and $39.92 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Computer Engineer jobs in Toronto, ON? The most popular types of Computer Engineer jobs in Toronto, ON are:
Full Time Computer Engineer jobs near you

Software Engineer - Computer Vision

Ecopia Tech

Toronto, ON • On-site

Full-time

Posted 21 days ago

Job description

Salary:

Ecopia AIs mission is to create a digital twin of the Earth. Billions of geospatial images are captured every day by satellites, airplanes, vehicles, and personal devices. Ecopia leverages AI to convert high-resolution images of our earth into high-definition (HD) Vector Maps. These maps form a digital representation of reality and are embedded into critical decision-making applications, offering unique insight at scale. Ecopias HD Vector Maps empower a wide range of applications such as smart cities, insurance, real estate, retail, manufacturing, utilities, logistics, autonomous driving, and augmented reality (AR).


Were seeking a passionate, talented engineer to join us at our Toronto office. You will have the incredible experience of working alongside our computer vision and engineering experts. Your work will have a direct impact on our end products, which empower various real-world applications on a scale never thought possible. The position is permanent, full-time and will have a highly competitive salary, annual salary increases and bonuses.


We are looking for talented self-starting engineers who enjoy diving into a subject and getting their hands dirty. With Ecopias flexible hybrid remote working environment, it's your choice to work from home and/or our office, located in the beautiful MaRS Discovery District building at 101 College Street in Toronto. Come join us on the journey to map the world!


KEY RESPONSIBILITIES

  • Develop deep learning algorithms and build software systems to automatically reconstruct 3D built environments, interpret and understand 3D contents from geospatial image data captured by satellites, airplanes, drones, vehicles, and smartphones at a country-scale
  • Collaborate with the product team to transfer research into products that empower various real-world business applications

QUALIFICATIONS

  • Master's or Ph.D. in Computer Science or related field, or equivalent experience
  • Strong programming experience in C / C++ / Python
  • Deep understanding of algorithms and data structures
  • Research experience in machine learning and/or computer vision and/or 3D applications
  • Deep understanding of multiview geometry and 3D computer vision
  • Hands-on experience with semantic segmentation, and/or 3d reconstruction and generation, and/or simultaneous localization and mapping (SLAM)
  • Publications at top venues, e.g. CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, are a plus


OPTIONAL: CODING PUZZLE CHALLENGE

Want to stand out from other applicants? Play with our Tiny Classifier challenge:https://puzzle2026.ecopiatech.com.

Successful submissions will receive a unique code to include in your application, which will improve your priority in our review process.


COMMITMENT TO DIVERSITY AND INCLUSION

Ecopia is committed to fostering a diverse and inclusive working environment. We welcome applications from qualified candidates of all backgrounds, regardless of age, physical ability, gender, race, religion, or sexual orientation. We will provide any requested accommodation to candidates with disabilities throughout the recruitment process.