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Robotics Software Engineer Jobs in Ontario (NOW HIRING)

Engineer, AI & Software Testing

Toronto, ON · Hybrid

CA$95K - CA$145K/yr

Computer Science, Electrical, Aerospace, and Robotics. Automotive OEM or Tier-1 experience ... Proficient in programming python * Proficient in machine learning and AI frameworks such as ...

Lead, coach, and support software developers through regular one-on-ones, feedback, career ... Experience working in cross-disciplinary environments involving hardware, robotics, manufacturing ...

Senior Software Engineer, Auto Labelling

Toronto, ON · On-site +1

CA$170K - CA$220K/yr

... Engineers working on building a cutting-edge offline perception and auto-labelling system ... Qualifications: - Bachelors degree with a Computer Science, Robotics and/or similar technical field ...

Hamilton Req ID: 29629 Hourly Rate: $30 Role Summary We are looking for a Software Engineering ... Exposure to automation, robotics, manufacturing systems, IoT, or hardware/software integration is a ...

Mechanical Design Engineer

Hamilton, ON · On-site

CA$80K - CA$100K/yr

... software required to perform your duties will be paid for by Radian. · Robot and PLC training will be provided by the company if needed. · The Mechanical Engineering Manager should be included in ...

Director of Engineering

Toronto, ON · On-site

$180 - $260/hr

Overall, you will define the Company's Engineering and Software Architecture foreseeing the ... Robotics / Hardware for the automotive market. * Strong C++, Python and ROS skills. * Strong ...

Showing results 41-60

Robotics Software Engineer information

See Ontario salary details

$69K

$122.4K

$179K

How much do robotics software engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for robotics software engineer in Ontario is $122,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $139,500.00 per year, depending on experience, location, and employer.

What does a robotics software engineer do?

The job duties of a robotics software engineer are working to develop software for robot control and automation. In this job, your responsibilities include working on an embedded system that controls automated equipment. You may build new software or test, improve, or debug current software. Most robotics software engineers work for the manufacturing industry and focus on robots that companies use in product production. You may work in other fields that use robotics as well. This job may include responsibilities such as developing a user interface that non-technical employees can use to set up the equipment.

What does a robotics software engineer do?

A Robotics Software Engineer designs, develops, and maintains the software that controls and powers robots. This includes writing code for robot perception, control algorithms, and integration with hardware components. They work closely with hardware engineers to ensure seamless interaction between the robot's physical and digital systems. Their work often involves programming in languages such as C++, Python, or ROS (Robot Operating System) and testing robots in real-world or simulated environments.

What are the key skills and qualifications needed to thrive as a robotics software engineer, and why are they important?

To thrive as a Robotics Software Engineer, you need a strong background in computer science, robotics, and mathematics, often supported by a relevant degree and experience in algorithm development. Proficiency with programming languages like C++, Python, and ROS (Robot Operating System), as well as familiarity with simulation tools and version control systems, is essential. Problem-solving ability, teamwork, and effective communication are crucial soft skills for collaborating on complex projects and adapting to evolving technologies. These skills and qualities are vital for designing, implementing, and maintaining reliable robotic systems that perform effectively in real-world environments.

What are some common challenges faced by robotics software engineers when integrating software with hardware systems?

Robotics Software Engineers often encounter challenges related to ensuring seamless communication between software algorithms and physical hardware components. These can include dealing with sensor noise, managing real-time constraints, debugging hardware-software mismatches, and ensuring reliable performance in unpredictable environments. Close collaboration with electrical and mechanical engineers is essential to quickly resolve integration issues and to test software on physical robots. Adapting to rapid hardware changes and troubleshooting in live environments require strong problem-solving skills and effective cross-disciplinary teamwork.

What is the difference between Robotics Software Engineer vs Mechatronics Engineer?

AspectRobotics Software EngineerMechatronics Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or related field; programming skillsBachelor's in Mechatronics, Mechanical, or Electrical Engineering; multidisciplinary knowledge
Work EnvironmentSoftware development teams, robotics labs, research facilitiesDesign, integrate mechanical and electronic systems, often in manufacturing or automation
Employer & Industry UsageTech companies, robotics firms, research institutionsManufacturing, automation, aerospace, automotive industries

While both roles involve robotics, a Robotics Software Engineer primarily focuses on developing software for robotic systems, whereas a Mechatronics Engineer designs and integrates mechanical, electronic, and software components. The roles often overlap but differ in their core focus areas and skill sets.

What are the most commonly searched types of Robotics Software Engineer jobs in Ontario?

The most popular types of Robotics Software Engineer jobs in Ontario are:

What are popular job titles related to Robotics Software Engineer jobs in Ontario?

For Robotics Software Engineer jobs in Ontario, the most frequently searched job titles are:

Infographic showing various Robotics Software Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $122,386 per year, or $58.8 per hour.

Engineer, AI & Software Testing

Magna

Toronto, ON • Hybrid

CA$95K - CA$145K/yr

Full-time

Re-posted 16 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:

This role involves testing AI models and software for diverse use cases using various methodologies. The incumbent will generate ground truth data, develop reference materials and annotated datasets, and build a robust testing framework to ensure high quality standards. Key tasks include engaging with internal customers to identify challenges, creating impactful solutions, and collaborating with universities and external partners to drive innovation and successful project outcomes. In addition, the role supports the R&D project team engineers and researchers by providing technical evaluation of technologies being considered by Magna.

Your Responsibilities

  • Salary: $95,000 - $145,000, annual salary
  • Immediate, open position
  • Evaluate technologies and product designs to ensure they align with scientific and engineering principles, company standards, customer needs, and relevant specifications.
  • Support the creation of innovative components and modules from conceptualization through all stages of development, including design engineering, validation, prototyping, testing, and assessing both production feasibility and business cases.
  • Design and execute research programs by applying fundamental concepts in mechanics, thermodynamics, hydraulics, electronics, heat transfer, and materials science.
  • Foster teamwork by contributing creative ideas for new products and processes, and by sharing information with colleagues.
  • Compare experimental results with simulation data for consistency and validation.
  • Oversee the innovation project timeline by tracking overall progress, coordinating efforts, estimating time requirements, sequencing tasks, and resolving any arising issues.
  • Clearly define and manage outsourced work-such as software development, prototyping, validation, and testing-ensuring it is completed on schedule.

Who we are looking for

  • Bachelor's or higher degree in Engineering including but not limited to: Computer Science, Electrical, Aerospace, and Robotics. Automotive OEM or Tier-1 experience preferred.
  • Comprehensive understanding about automotive technology
  • Good understanding of basic engineering principles and physics
  • 3+ years of recent, in-depth, hands-on experience in a relevant field in the automotive industry

Your preferred qualifications

  • Proficient in handling training and validation data, segmentation and annotation process
  • Proficient in programming python
  • Proficient in machine learning and AI frameworks such as Tensorflow, Keras, PyTorch, ...
  • Experience in github continuous integration and testing
  • Experience in prompting technics
  • Experience in frontend web development (next.js, react,...)
  • Experience in cloud deployment (docker, azure, aws,...)
  • Proficient in agentic AI frameworks such as crewai, langgraph, ...
  • Ability to travel domestic and international - 10% percent of the time.

Please Note

  • Accommodations for disabilities in relation to the job selection process are available upon request.
  • Candidates will be required to complete a Criminal Records Check, and if deemed necessary, a Credit Check as part of the candidate selection process.

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.

In addition, we offer you the following site benefits:

  • Hybrid work policy
  • Wellness programs and events
  • On-site cafeteria
  • Parking for electric vehicles
  • Access to private park for employees & their families
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:
Regular / Permanent
Group:
Magna Corporate