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Computer Science Fresh Graduate Jobs in Ontario (NOW HIRING)

Data Scientist

Toronto, ON ยท On-site

CA$80K - CA$175K/yr

Graduate degree (Master's or PhD) in Computer Science, Engineering, Statistics, Mathematics, or a related field. This role is ideal for someone passionate about building scalable AI solutions and ...

Manager, Engineering

Toronto, ON ยท On-site

CA$96K - CA$136K/yr

University or post-graduate degree * Strong academic background (e.g., computer science, engineering) * 7+ years relevant experience J EXPERIENCE AND / OR EDUCATION * University or post-graduate ...

Cloud/AI Platform Engineer

Toronto, ON ยท On-site

CA$70K - CA$150K/yr

New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data ...

Cloud/AI Platform Engineer

Toronto, ON ยท On-site

CA$75K - CA$141K/yr

New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data ...

... scientists, digital innovators, program and construction managers and other professionals ... Uses computer software as a tool for solving basic engineering problems. * Performs work in ...

Showing results 41-60

Computer Science Fresh Graduate information

See Ontario salary details

$21.5K

$54.4K

$109.5K

How much do computer science fresh graduate jobs pay per year?

As of Sep 7, 2026, the average yearly pay for computer science fresh graduate in Ontario is $54,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $62,000.00 per year, depending on experience, location, and employer.

What is a computer science fresh graduate?

A Computer Science Fresh Graduate job is an entry-level position designed for individuals who have recently completed a degree in computer science or a related field. These roles typically involve tasks like software development, database management, IT support, or cybersecurity, depending on the employer. Companies hire fresh graduates to train them in industry practices and align their skills with organizational needs. Common job titles include Software Engineer, IT Support Specialist, and Data Analyst. Employers look for strong programming skills, problem-solving abilities, and a willingness to learn new technologies.

What types of projects and responsibilities can a computer science fresh graduate expect in their first role?

As a Computer Science Fresh Graduate, you can typically expect to contribute to coding, debugging, testing, and maintaining software applications under the guidance of more experienced team members. You'll often collaborate closely with engineers, designers, and sometimes clients to deliver project goals and learn best practices. Initial responsibilities may also include participating in code reviews, writing documentation, and assisting in troubleshooting technical issues. These projects are designed to help you build industry experience, strengthen your technical skills, and prepare for more advanced assignments or leadership roles over time.

What are the key skills and qualifications needed to thrive in the computer science fresh graduate position, and why are they important?

To thrive as a Computer Science Fresh Graduate, you need a solid understanding of programming languages, data structures, algorithms, and software development principles, typically proven by a bachelor's degree in computer science or a related field. Familiarity with industry-standard tools like Git, integrated development environments (IDEs), and possibly certifications in areas such as cloud computing or cybersecurity can be advantageous. Strong problem-solving abilities, a willingness to learn, and effective teamwork and communication skills will help you stand out. These competencies are crucial for adapting to varied technical tasks, succeeding in collaborative projects, and quickly growing in the fast-evolving tech industry.

What are popular job titles related to Computer Science Fresh Graduate jobs in Ontario?

For Computer Science Fresh Graduate jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Computer Science Fresh Graduate jobs in Ontario look for?

The top searched job categories for Computer Science Fresh Graduate jobs in Ontario are:

Infographic showing various Computer Science Fresh Graduate job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 3% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $54,352 per year, or $26.1 per hour.

QNX Open Source Software Developer (New Graduate/Graduate)

AtHoc

Ottawa, ON โ€ข On-site

CA$80K - CA$105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Job description

Worker Sub-Type:

Regular

Job Description:

QNX enhances the human experience and amplifies technology-driven industries, providing a trusted foundation for software-defined businesses to thrive. The business leads the way in delivering safe and secure operating systems, hypervisors, middleware, solutions, and development tools, along with support and services delivered by trusted embedded software experts. With a focus on reducing hardware dependency and increasing efficiency, QNX empowers organizations to unlock new possibilities in areas like high-performance computing at the edge, standards-based virtualization technologies, and cloud enablement. QNX technology has been deployed in the world's most critical embedded systems, including more than 275 million vehicles on the road today. QNX software is trusted across industries including automotive, medical devices, industrial controls, robotics, commercial vehicles, rail, and aerospace and defense.

Purpose of the Role: The "QNX Everywhere" Initiative

QNX is on a mission to compete directly with Linux as the premier, go-to operating system for embedded development worldwide. Through ourQNX Everywhere initiative, we are building a rich, seamless open-source ecosystem that brings the vast array of open-source software currently enjoyed on Linux natively onto the QNX Real-Time Operating System (RTOS).

As an Open-Source Software Developer, you will play a pivotal role in this initiative. You will analyze, port, optimize, and upstream a wide range of open-source software - spanning core system utilities, networking middleware, IPC frameworks, middleware stacks, applications, AI frameworks, and bleeding-edge Physical AI & Roboticsstacks. By bringing these technologies to QNX, you will enable developers globally to build safe, secure, and feature-rich embedded solutions without sacrificing the rich open-source ecosystem.

You will conduct:

  • Broad Open-Source Porting & Integration:Analyze, port, build, and optimize open-source software across C, C++, Python, and Rust for the QNX RTOS. Projects span a wide variety of domains, including:
    • System Runtimes:Node.js, GTK, SQLite, Boost.
    • Networking & Middleware:SOME/IP, MQTT, DDS, Zenoh.
    • Physical AI & Robotics:ROS2, OpenPI, Google MediaPipe, OpenCV, ONNX Runtime, PyTorch/ExecuTorch, TensorFlow.
  • Upstreaming & Community Leadership:Work directly with upstream open-source communities and maintainers to integrate QNX build targets, patches, and CI configurations into mainstream repositories.
  • Hardware & Accelerator Enablement:Work with silicon partners to enable open-source software on diverse embedded platforms, including GPU/NPU acceleration blocks (NVIDIA IGX Thor, AMD ROCm, Qualcomm, NXP).
  • QNX Subsystem Integration:Integrate open-source projects with core QNX subsystems (graphics, networking, USB, audio, sensors, and multimedia).
  • Porting Layers & Toolchain Support:Develop OS-specific abstraction layers, shims, and porting libraries; adapt cross-compilation build systems (CMake, Meson, Bazel, Cargo, GN/Ninja) for QNX toolchains.
  • Performance Optimization:Perform low-level profiling, memory footprint reduction, latency tuning, and performance optimization on embedded target hardware.

You will have:

  • Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or equivalent practical experience.
  • Strong software development skills in C and C++ (C++14/17/20) and Python.
  • Proven experience with Linux/Unix development environments and cross-compilation toolchains (CMake, Meson, Ninja, Make).
  • Solid understanding of operating system internals and POSIX APIs (pthreads, IPC, memory management, networking sockets).
  • Excellent communication skills with an interest in collaborating within open-source developer communities.
  • Self-motivated with a passion for building software ecosystems.

Any of the below are considered a bonus:

  • Experience porting, building, or maintaining large open-source projects or Linux distributions.
  • Experience or interest inPhysical AI, Robotics, or Vision frameworks(e.g., ROS2, OpenPI, MediaPipe, ONNX Runtime, PyTorch/ExecuTorch, TensorFlow, OpenCV).
  • Experience withGPU / Heterogeneous Computestacks (NVIDIA CUDA/TensorRT, AMD ROCm, Vulkan Compute, OpenCL) on platforms like NVIDIA Thor/IGX or AMD silicon.
  • Knowledge of embedded GUI engines (Qt, GTK), or automotive/industrial middleware (DDS, SOME/IP, MQTT).
  • Hands-on experience with RTOS environments (QNX, VxWorks, FreeRTOS, Zephyr) or Linux kernel/driver internals.
  • Familiarity with Rust and cargo build targets for embedded or systems programming.
  • Active open-source contributions (GitHub/GitLab profile, upstream PRs, or patch submissions).

If you are ready to use your expertise to drive real innovation, we would love to hear from you!

#LI-KH1

Scheduled Weekly Hours:

40

Compensation Hiring Base Salary Range:

$80,000.00 - $105,000.00

Please be advised that the compensation hiring range indicated herein is provided solely as a good-faith estimate of expected base compensation for the position. The actual compensation offered will be determined at the time of hire and is contingent upon multiple factors, including but not limited to the candidate's qualifications, relevant experience, demonstrated skills, and results of assessments conducted during the hiring process.

Bonus:

The BlackBerry Variable Incentive Pay (VIP) program is an organization-wide bonus incentive program which aims to reward full-time eligible employees for their contribution to BlackBerry's success. VIP payments are made in addition to base salary and factor in company's performance as a way for employees to share in BlackBerry's achievements.

Benefits:

The BlackBerry Employee Benefits programs offer a wide range of benefits that support your physical, financial and personal well-being. BlackBerry remains committed to offering affordable benefits including coverage for medical, dental, vision, life, disability insurance, retirement, employee share purchase program and paid-time-off to those that meet the eligibility requirements.

Disclosure of Position Status:

This is an active opening. We are seeking to fill this position immediately

Disclosure of Artificial Intelligence:

We donot use artificial intelligence (AI)to screen, assess, or select applicants at any stage of our recruitment process. All applications are reviewed and evaluated by our hiring team.