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Computer Science Jobs in Toronto, ON (NOW HIRING)

Ontario 407

Data Scientist

Woodbridge, ON

CA$85K - CA$115K/yr

A University degree in Engineering, Statistics, Mathematics, or Computer Science. * Minimum 3-5 years working experience with data science techniques: clustering, regression models, classification ...

Waabi

Research Scientist

Toronto, ON · On-site

CA$158K - CA$269K/yr

Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

Td

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Undergraduate degree in Statistics, Mathematics, Computer Science, Engineering, Economics, Data Science, Finance, or a related quantitative field * 2+ years of relevant experience in analytics, data ...

Targeted Talent

Senior Deep Learning Engineer

Toronto, ON · On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Targeted Talent

Senior Deep Learning Engineer

Toronto, ON · On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Td

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Undergraduate or advanced technical degree (e.g., math, statistics, engineering, finance, or computer science); graduate's degree preferred with progressive work experience * 3+ years of relevant ...

Vangard, Inc.

Senior AI Scientist

Toronto, ON · On-site

Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field; Master's degree or equivalent research experience preferred How We Work Vanguard has ...

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All JobsComputer Science JobsComputer Science Jobs in Toronto, ON

Computer Science information

See Toronto, ON salary details

$19.1K

$64.5K

$134.6K

How much do computer science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for computer science in Toronto, ON is $64,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,605.00 and $89,707.00 per year, depending on experience, location, and employer.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What are computer science jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a computer science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

Are computer science majors still in demand?

Computer science majors are currently in high demand due to the growth of technology, software development, cybersecurity, and data analysis fields. Employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and cloud platforms, making it a strong career choice with good job prospects.

What are careers in computer science?

Careers in computer science include roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require strong programming skills, knowledge of algorithms, and familiarity with tools like programming languages, databases, and operating systems.

What can you do with a computer science degree?

A computer science degree prepares individuals for a variety of roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and systems design, often requiring knowledge of programming languages, databases, and problem-solving. Graduates can work in technology companies, finance, healthcare, or government agencies, often with opportunities for certification and ongoing learning.

What jobs can I do with computer science?

A degree in computer science opens opportunities for roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like databases and operating systems.
More about Computer Science jobs

What are the most commonly searched types of Computer Science jobs in Toronto, ON?

The most popular types of Computer Science jobs in Toronto, ON are:

What are popular job titles related to Computer Science jobs in Toronto, ON?

For Computer Science jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Computer Science jobs in Toronto, ON look for?

The top searched job categories for Computer Science jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Computer Science jobs?

Cities near Toronto, ON with the most Computer Science job openings:

Computer Science jobs near you
Infographic showing various Computer Science job openings in Toronto, ON as of September 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Summer. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $64,454 per year, or $31 per hour.

Scientific Software Engineer

QuEra Computing, Inc.

Toronto, ON • On-site

Full-time

PTO

Re-posted 16 days ago

Key responsibilities

  • Develop and maintain domain-specific languages involved in the compilation pipeline.

  • Support customers with usage questions and technical issues related to the SDK Bloqade and compiler infrastructure Kirin.

  • Collaborate with scientists and hardware control team to plan and develop hardware features for executing QEC algorithms.

Job description

Summary

QuEra Computing, Inc. seeks a creative and collaborative Scientific Software Engineer to help solve the unique software challenges of integrating high-level applications into state-of-the-art neutral-atom quantum computers. You will have the opportunity to work with a vibrant scientific software team and a community of industry and academic collaborators and to help our growing team of diverse experts address fascinating challenges, ranging from classical compiler techniques to direct integration with low-level hardware components. Using our open-source toolchain, Kirin, you will be building QuEra's compiler pipeline together with experimental & computational physicists from low-level hardware instructions to high-level programming languages. This involves the development of new features and infrastructure for hardware execution. You will be co-designing compilers and hardware infrastructure for the next generation of quantum computing using cutting-edge neutral-atom and quantum error correction technologies. This emerging direction involves novel challenges in both engineering and science.

Responsibilities

  • Develop and maintain domain-specific languages (DSLs) involved in the compilation pipeline
  • Support customers when usage questions and technical issues arise
  • Create comprehensive documentation for our SDK Bloqade and compiler infrastructure Kirin.
  • Collaborate with scientists and our hardware control team to plan and develop hardware features required for executing QEC algorithms
  • Collaborate with other members of the scientific software team to deliver new language and hardware features including new gates, atom shuttling instructions, and low-level pulse control features

Qualifications

  • Ph.D. in Computer Science or Physics with a focus on one or many of quantum computation, quantum architecture, quantum programming language & compilation or quantum physics, or equivalent professional experience
  • Enthusiastic about building tools and documentation used by non-software developers
  • Experience with Python semantics, Python type hints, and the CPython APIs
  • Knowledge of the full lifecycle of software development, including version control, code review, testing, CI/CD, logging, profiling, debugging, and documentation

Preferred Qualifications

  • Experience with Static Single Assignment intermediate representation-based compilers and compiler engineering using LLVM/MLIR
  • Experience in technical writing
  • Experience in programming language and compiler design
  • Deep understanding in topics including quantum physics, quantum algorithms, quantum error correction, and quantum compilation
  • Experience in creating education content for quantum computation topics
  • Experience in open-source collaboration and contribution with good record in GitHub contributions

QuEra Computing Inc does not presently have an established entity in Canada and therefore, this hire, which will include benefits eligibility, paid time off etc. will be handled through a third-party Employer of Record.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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