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Robotics Intern Jobs in Ontario (NOW HIRING)

Waabi

Research Internship/Co-op

Toronto, ON · On-site

CA$45 - CA$60/hr

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research ...

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Robotics Intern information

See Ontario salary details

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$4.1K

$11K

How much do robotics intern jobs pay per month?

As of Aug 20, 2026, the average monthly pay for robotics intern in Ontario is $4,113.25, according to ZipRecruiter salary data. Most workers in this role earn between $2,083.33 and $4,791.67 per month, depending on experience, location, and employer.

What is a robotics intern?

A Robotics Intern assists engineers in designing, programming, and testing robotic systems. They may work with hardware and software, troubleshoot issues, and contribute to research and development. Interns often collaborate on automation, sensors, and control systems to improve robotic performance. This role provides hands-on experience with emerging technologies in robotics and automation.

What do robotics interns do?

As a Robotics Intern, you'll often assist with a mix of hands-on hardware assembly, software development, and system testing under the guidance of experienced engineers. Your projects might involve coding robot behaviors, troubleshooting sensors or actuators, and helping to prototype or refine automation solutions. Interns frequently collaborate with multidisciplinary teams, giving you exposure to both engineering and project management aspects. These experiences are designed to build your technical skills while providing insight into how robotics solutions are developed in a professional setting.

What skills and qualifications are needed to thrive as a robotics intern?

To thrive as a Robotics Intern, you should have a solid understanding of robotics fundamentals, programming (such as Python or C++), and basic electronics, often backed by coursework in engineering or computer science. Familiarity with robotics platforms (like ROS), CAD software, and prototyping tools is highly valued, as is any hands-on experience through labs or personal projects. Strong problem-solving, adaptability, and collaborative communication skills set outstanding candidates apart. These abilities are critical for contributing effectively to project teams, learning quickly on the job, and making a tangible impact during your internship.

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

The most popular types of Robotics jobs in Ontario are:

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

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

What job categories do people searching Robotics Intern jobs in Ontario look for?

The top searched job categories for Robotics Intern jobs in Ontario are:

What cities in Ontario are hiring for Robotics Intern jobs?

Cities in Ontario with the most Robotics Intern job openings:

Robotics Intern jobs near you
Infographic showing various Robotics Intern job openings in Ontario as of August 2026, with employment types broken down into 18% Internship, 1% As Needed, 47% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $49,359 per year, or $23.7 per hour.

Research Internship/Co-op

Waabi

Toronto, ON • On-site

CA$45 - CA$60/hr

Full-time, Internship

Re-posted 6 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to "drive" safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.

With offices in Toronto and San Francisco, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai 

You will...
- Be part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale.
- Lead or Contribute to an AI research project, pushing the frontiers of the field by developing new algorithms for Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning, controls, simulation, mapping, localization, core AI, etc.
- Design, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems. 
- Be encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog, and release open source projects.

Qualifications:
- Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study.
- Demonstrated research/software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers.
- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
- Proficient in reading and coding in Python and/or C++..
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Application Instructions:
- To be considered for an internship/co-op, please add your most up to date academic transcripts alongside with your resume for further review.
The US hourly range for this role is: $40- $55 USD and the Canada hourly range for this role is: $45-$60 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. 


Perks/Benefits:
Waabi provides a competitive benefits package that includes:
- Daily drinks, snacks and catered meals (when in office)
- Regularly scheduled team building activities and social events
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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