Engineering & architecture jobs in Canada

Explore engineering & architecture jobs in Canada. Choose a role or place to find work that fits.

Counted Oct 1, 2026

Hiring at a glance

View jobs

Open jobs: 4,632
Employers: 1,422

Advertised starting pay

Average starting payCAD / year: $104,325Across 652 listings
Average starting payCAD / hour: $44.53Across 50 listings
Average starting payUSD / year: $131,895Across 30 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 2%110 listings
Hybrid: 37%1,694 listings
On-site: 61%2,819 listings

Not specified: <1% (9 listings)

Employers hiring include WSP in Canada (262), Egis Group (135), AtkinsRéalis (133).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Engineering & architecture jobs in Canada

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Added 2 months ago
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Vision / Robotics Engineer
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Toronto, ON
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Toronto, Ontario
$110,000 to $140,000 CAD / year
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Intermediate Mechanical Engineer
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Rouyn-Noranda, Quebec
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Added 3 months ago
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WSP in Canada
Val-d'Or, Quebec
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Added 3 months ago
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WSP in Canada
Amos, Quebec
Full-time
With an unmatched breadth and depth of engineering, advisory and science-based expertise, our global minds unite to power local solutions.

Loombotic

Vision / Robotics Engineer

Toronto, ON, Canada

Job type: Full-time
Posting language: English
Posted: Jun 4, 2026

Apply About employer

Applications open in a new tab.

Original job description

About Loombotic

Loombotic is automating the wire harness, the hand-built nervous system inside every robot, vehicle, and machine. It is one of the last big manufacturing processes still done almost entirely by hand, and we are changing that by building our own instant-quoting software and our own machines, shipping a custom harness in about a week instead of 6 to 12. Teams building robotics, aerospace, and advanced thermal and data-center hardware rely on us to get custom cables in days, not months.

This role builds the perception and robotics at the heart of that.

The role

You'll build the perception and robotics that let our automated line handle wires, connectors, and terminals - parts that are flexible, small, and hard for traditional automation. That means vision systems that find and orient connectors and wire ends, and robot motion that picks, places, routes, and terminates reliably on a real production floor. You'll own problems end-to-end, from prototype on the bench to running in production, working shoulder-to-shoulder with mechanical, controls, and the technicians who run the line.

Problems you'll get to solve

A few of the problems you'd actually work on:

Get a robot to reliably pick, orient, and place wires and connectors: flexible, shiny parts that have to be placed and seated to sub-millimeter precision, the kind of work traditional automation chokes on
Build vision that finds and localizes a specific connector, terminal, or wire end in clutter, under real factory lighting, fast enough to keep cycle time low
Solve high-precision insertion and termination: seating a terminal in the right cavity every time, at the tolerances harnesses demand
Drive a vision-guided task from works-in-a-demo to runs-untended on the line, by understanding both the algorithm and how the part actually behaves
Make it robust enough to run unattended on a production line, not just in a demo

What you'll do

Build vision pipelines (classical CV and/or ML) for detecting, segmenting, and estimating the pose of connectors, terminals, and wire ends
Develop and tune robot motion for pick/place, routing, insertion, and termination tasks
Handle camera/robot calibration, hand-eye calibration, and the gritty real-world edge cases
Close the loop with mechanical and controls engineers on end effectors, fixtures, and machine design
Deploy, monitor, and harden systems running on the production floor; debug failures with real parts
Measure and drive up cycle time, yield, and reliability

You are

Hands-on with both code and hardware - happy at a workstation and on the floor with the machine
Rigorous about making things work reliably in the real world, not just in a demo
A fast iterator who learns from physical failure modes
A strong collaborator across mechanical, controls, and production
More interested in the line running reliably than in who gets credit for the fix

Minimum qualifications

Experience building robotics and/or computer-vision systems that ran on real hardware
Strong programming in Python and/or C++
Solid grasp of camera calibration, coordinate frames/transforms, and robotic manipulation
Comfortable working on-site in Austin, TX with physical equipment
Legally authorized to work in the U.S. or Canada

Nice to have

Industrial robot arms, motion control, or real-time systems
6-DoF pose estimation, deep learning for perception, or sensor fusion
Manufacturing automation, machine building, or NPI on a production line
Working with deformable/flexible objects (wires, cables, fabric)
ROS or equivalent robotics frameworks
Bonus: serious Factorio (or other factory-builder game) playtime. If optimizing automated factories for fun sounds like you, you'll fit right in.

What we care about

We care about engineers who close the loop on hard physical problems. The best person here gets a flaky vision-guided insertion from 80% to 99.9% because they understand both the algorithm and the way the part actually behaves on the floor. We want people who want to automate something the industry says can't be automated.

Compensation & benefits

$135k-$185k base + meaningful early-stage equity, 0.25% to 0.75% (most offers 0.3-0.5%; 0.6-0.75% for an early senior or lead), 4-year vest, 1-year cliff. Typical hire $145-160k; $170-185k for a senior or lead
Medical, dental, and vision coverage
Paid time off and company holidays
Top-tier hardware, tools, and lab access
Access to our engineering lab and tools for approved personal projects. We like people who build things

How to apply

Apply with your resume (and any projects/demos) and short answers to:

Describe a vision or robotics system you took from prototype to working reliably on real hardware. What broke, and how did you fix it?
What's your experience with manipulation, pose estimation, or robot motion?
Why Loombotic / why automating harness manufacturing?

Loombotic is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We provide reasonable accommodations for applicants with disabilities; if you need one during the hiring process, just ask.

Apply About employer

More about this job

Responsibilities

You will develop perception and robotics systems to automate the handling of flexible components like wires and connectors on a production line. This involves building vision pipelines, tuning robot motion, and ensuring systems run reliably in a real-world manufacturing environment.

Requirements

Candidates must have experience building robotics or computer vision systems on real hardware and possess strong programming skills in Python or C++. You should be comfortable working on-site with physical equipment and have a solid grasp of camera calibration and robotic manipulation.

Skills

Robotics
Computer vision
Python
C++
Camera calibration
Coordinate transforms
Robotic manipulation
Pose estimation
Sensor fusion
Motion control
Manufacturing automation
ROS
Machine learning
Debugging
System deployment

Benefits

Medical coverage
Dental coverage
Vision coverage
Paid time off
Company holidays
Equity
Lab access

Visa sponsorship

Not detected in the job text

Keywords

Robotics
Computer Vision
Python
C++
Automation
Manufacturing
Wire Harness
Pose Estimation
Sensor Fusion
Motion Control
ROS
Machine Learning
Calibration
Hardware
Production Line
NPI
Deformable Objects
Real-time Systems
Algorithm Development
System Integration

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