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

Waabi

Senior Software Engineer, Auto Labelling

Toronto, ON · On-site +1

CA$170K - CA$220K/yr

Qualifications: - Bachelors degree with a Computer Science, Robotics and/or similar technical field ... Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time ...

Citi

AI Applied Senior Engineering Lead

Mississauga, ON

CA$145K - CA$217K/yr

Bachelor's or Master's degree in Computer Science, AI, Robotics, or a related quantitative ... Applications Development ----- Time Type: Full time ----- Primary Location Full Time Salary Range ...

Waabi

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

... robotics and machine learning to enable safe self-driving at scale, with advanced techniques in ... Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time ...

Waabi

Research Scientist, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

Model distillation. - Collaborate with engineers to integrate models into large-scale, distributed ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

Waabi

Lead Product Manager, Autonomy

Toronto, ON · On-site

CA$165K - CA$260K/yr

Lead cross-functional alignment across Engineering, Design, Research, Simulation, Systems ... Technical experience in autonomous vehicle development or a background in Computer Science/Robotics.

Waabi

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

... robotics. Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a ... Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time ...

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All JobsRobotics Engineer JobsFull Time Robotics Engineer JobsFull Time Robotics Engineer Jobs in Toronto, ON

Full Time Robotics Engineer information

See Toronto, ON salary details

$21.5K

$83.9K

$152.7K

How much do full time robotics engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for full time robotics engineer in Toronto, ON is $83,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,737.00 and $104,023.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Robotics Engineer vs Full Time Mechanical Engineer?

AspectFull Time Robotics EngineerFull Time Mechanical Engineer
Required CredentialsBachelor's in Robotics, Mechanical, or Electrical Engineering; certifications in robotics or automationBachelor's in Mechanical Engineering; possibly Professional Engineer (PE) license
Work EnvironmentResearch labs, manufacturing facilities, automation companiesManufacturing plants, design firms, product development
Industry UsageRobotics, automation, AI integrationMechanical design, product development, manufacturing

Full Time Robotics Engineers focus on designing and developing robotic systems, integrating sensors, and programming automation solutions. Mechanical Engineers work on designing mechanical components, systems, and machinery. While both roles require engineering degrees, Robotics Engineers often have specialized knowledge in control systems and programming, whereas Mechanical Engineers emphasize mechanical design and materials. The roles are complementary but distinct in their focus areas within engineering industries.

Is there a demand for full time robotics engineers?

Full-time robotics engineers are in high demand across industries such as manufacturing, healthcare, and automation, driven by advancements in AI, machine learning, and sensor technologies. Employers seek candidates with skills in programming, control systems, and experience with robotics frameworks like ROS, often requiring a bachelor's or master's degree in engineering or related fields. The field offers strong job growth prospects due to increasing automation needs worldwide.

What are the most commonly searched types of Robotics Engineer jobs in Toronto, ON?

The most popular types of Robotics Engineer jobs in Toronto, ON are:

Full Time Robotics Engineer jobs near you

Senior Software Engineer, Auto Labelling

Waabi

Toronto, ON • On-site, Remote

CA$170K - CA$220K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 9 days ago

Key responsibilities

  • Work on building a cutting-edge offline perception and auto-labelling system leveraging computer vision and machine learning.

  • Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation, and automation ecosystem.

  • Architect and scale the data processing pipeline to handle large-scale data and user requests using distributed computing frameworks.

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

You will...
- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.
- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.
- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.
- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment.
Qualifications:
- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.
- 3+ years of experience developing solutions in ML systems or the ML software stack.
- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.
- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.
- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code.
- Open-minded and collaborative team player with the willingness to help others.
 
Bonus/nice to have:
- Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.
- Experience working with large Vision-Language Models (VLMs)
The US yearly salary range for this role is: $170,000 - $220,000 USD in addition to competitive perks & benefits. Waabi (US) 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 locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
  • Competitive compensation and equity awards.
  • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
  • Unlimited Vacation.
  • Flexible hours and Work from Home support.
  • Daily drinks, snacks and catered meals (when in office).
  • Regularly scheduled team building activities and social events both on-site, off-site & virtually.
  • 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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