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Robotics Engineer Jobs in Toronto, ON (NOW HIRING)

Magna

Robotic Technician

Mississauga, ON · On-site

$37.41 - $44.06/hr

Through our robust product engineering, outstanding tooling capabilities and diverse process ... Safe and efficient repair and maintenance of Fanuc robots and welding equipment. * Develop and ...

Radian Robotics

Capital Sales Account Manager

Hamilton, ON · On-site

CA$115K - CA$125K/yr

At Radian Robotics, we recognize the vital role of steel, aluminum and wood in our world. We also ... The salesperson will work closely with the Applications Engineer, who provides the technical ...

Magna

Project Engineer

Brampton, ON · On-site

CA$65K - CA$109K/yr

Experience with control systems, robotics programming, and integration; ability to create and interpret electrical schematics; software development experience is a plus. * Excellent organizational ...

Magna

Project Engineer

Brampton, ON · On-site

CA$79K - CA$129K/yr

Experience with control systems, robotics programming, and integration; ability to create and interpret electrical schematics; software development experience is a plus. * Experience with GitHub ...

Profound Medical

Mechatronics Developer

Mississauga, ON · On-site

CA$100K - CA$130K/yr

Design and develop robotic mechanisms and electromechanical subsystems. * Conduct Root Cause ... Create CAD models, engineering drawings, specifications, and bills of materials. * Build, assemble ...

Mattr

Lead Automation Engineer

Concord, ON

CA$94K - CA$118K/yr

Lead Automation Engineer - Calgary (Hybrid) Summary As a Lead Automation Engineer, you will take ... Exposure to robotics or interest in expanding automation capabilities in this area * Interest or ...

Lincoln Electric

Electrical Engineering Lead

Hamilton, ON

CA$85K - CA$108K/yr

... engineer with strong electrical and controls expertise and the ability to lead work across disciplines. The successful candidate will work closely with mechanical, controls, software, robotics, and ...

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Showing results 21-40

All JobsRobotics Engineer JobsRobotics Engineer Jobs in Toronto, ON

Robotics Engineer information

See Toronto, ON salary details

$38.7K

$90.3K

$143.6K

How much do robotics engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for robotics engineer in Toronto, ON is $90,297.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,870.00 and $99,251.00 per year, depending on experience, location, and employer.

What does a robotics engineer do?

A Robotics Engineer designs, builds, and tests robots and robotic systems that are able to perform tasks typically done by humans. They work on integrating hardware and software to create machines that can automate processes in industries such as manufacturing, healthcare, and logistics. Their responsibilities often include researching new technologies, programming robotic systems, troubleshooting issues, and collaborating with other engineers. Robotics Engineers play a key role in advancing automation and improving efficiency and safety in various sectors.

What does a robotics engineer do?

A robotics engineer designs and often builds robots from their plans and ensures the correct processes are in place for the robot to run properly. They work with their clients to determine costs and design specifications, then they design software systems to control robotic systems; build, configure, and test robots; and automate processes to increase production and precision. Once the robotic system is in place, the robotics engineer helps troubleshoot any problems the clients have with the system.

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

To thrive as a Robotics Engineer, you need a strong background in mechanical engineering, electrical engineering, and computer science, typically backed by a relevant bachelor's or master's degree. Familiarity with programming languages like Python or C++, CAD software, and robotics platforms such as ROS (Robot Operating System) is essential. Problem-solving skills, creativity, and effective teamwork are standout soft skills in this field. These competencies are crucial for designing, building, and refining innovative robotic systems that meet complex technical and user requirements.

What types of projects do robotics engineers typically collaborate on with cross-functional teams?

Robotics Engineers often work closely with professionals from software development, mechanical engineering, and electrical engineering to design, build, and test robotic systems. Projects can range from automating manufacturing processes to developing autonomous vehicles or medical robots. Collaboration is essential, as engineers must integrate hardware and software components while ensuring systems meet safety and performance standards. Effective communication and teamwork are key to successfully bringing innovative robotics solutions from concept to reality.

What is the difference between Robotics Engineer vs Mechanical Engineer?

AspectRobotics EngineerMechanical Engineer
Required CredentialsBachelor's in Robotics, Mechanical, Electrical Engineering or related field; certifications in robotics or automationBachelor's in Mechanical Engineering; Professional Engineer (PE) license optional
Work EnvironmentDesigning, testing, and programming robotic systems in labs or manufacturing settingsDesigning and analyzing mechanical systems in various industries, including manufacturing, automotive, aerospace
Industry UsageRobotics companies, automation firms, manufacturingManufacturing, automotive, aerospace, product design

Robotics Engineers focus on designing and developing robotic systems, combining knowledge of mechanical, electrical, and software engineering. Mechanical Engineers have a broader scope, working on mechanical systems across multiple industries. While both roles require engineering degrees, Robotics Engineers often need specialized skills in programming and automation. The choice depends on your interest in robotics and automation versus general mechanical system design.

Do robotics engineers make a lot of money?

Robotics engineers typically earn competitive salaries that vary based on experience, education, and location. According to industry data, the median annual wage for robotics engineers is higher than the average for engineering roles, reflecting the specialized skills and knowledge required in designing and developing robotic systems. Advanced skills in programming, control systems, and CAD tools can also influence earning potential.

Is there a high demand for robotics engineers?

Robotics engineers are in high demand across industries such as manufacturing, healthcare, and automation due to the increasing adoption of robotics technology. The field is expected to grow significantly as companies seek to improve efficiency and develop advanced robotic systems, often requiring skills in programming, control systems, and hardware design.
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For Robotics Engineer jobs in Toronto, ON, the most frequently searched job titles are:

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The top searched job categories for Robotics Engineer jobs in Toronto, ON are:

Robotics Engineer jobs near you
Infographic showing various Robotics Engineer job openings in Toronto, ON as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $90,297 per year, or $43.4 per hour.

Director of Product , Data Flywheel

Toronto, ON • Remote

Serve Robotics
Internet and IT • 51 - 200 employees
Learn more about Serve Roboticsexternal

$221K - $275K/yr

Full-time

Re-posted 10 days ago

Job description

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

Data is an integral part of Serve’s autonomy stack. As of EOY 2025, Serve has 2000 actively deployed robots making real world deliveries across numerous US cities. ‘Autonomy Data Flywheel’ is an internal Data product initiative that leverages on this large scale of real world robots and super-charges our End-End AI model development. It covers the entire data lifecycle starting with the data offloading infrastructure on edge, depots, and meeting the engineering needs of training, testing & validation.

Responsibilities

  • Build and drive roadmap for the Autonomy Data Flywheel

  • Draft requirements and ensure delivery for all consumers of the data including End-End AI, Perception, Safety and other teams.

  • Work with engineering teams to set and achieve targets for both quality and quantity KPIs

  • Define and maintain Data Diversity metrics for maximizing scenario coverage on Sidewalk ODD(Operational Design Domain)

  • Cross functional initiatives with Operations and IT teams to drive depot and cloud infrastructure work.

  • Support Data pipelines so that we are retaining the right data without impacting safety and day to day operations

Qualifications

  • Product/Engineering Experience for data infrastructure in AV/Automotive or Robotics/Edge AI industries

  • Experience building production level ML Ops pipelines

  • Fluent with training datasets and evals for AI models

  • Preferred: Experience with data infrastructure at Edge/Depot (E.g. NAS infra) and Cloud

  • Experience with ML Ops, targeted and active learning approaches

*Please note: The listed base salary range applies to candidates based in the San Francisco Bay Area. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely within the United States and Canada

  • USA - ALL: $200k - $245k USD

  • Canada - ALL: $175k - $215k CAD

Compensation Range: $221K - $275K