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Added 4 mins ago
Software Development Engineer - Agent Factory
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Full-time
3+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
Added 50 mins ago
Co-op Winter 2027 – System of Systems Integration, Verification and Validation – 4-8 months
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Added 50 mins ago
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$160,000 to $180,000 USD / year
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$140,000 to $170,000 CAD / year
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Engineer automation with monitoring, exception handling, logging, and reporting so failures are detected proactively and control effectiveness can be demonstrated.
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Global Traffic Group

Product Development and Industrialization Lead

St. Albert, AB, T8N 7N5, Canada

Posting language: English
Posted: Sep 25, 2026

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Original job description

Who We Are

At Global Traffic Group (GTG), we lead with purpose: building safer roadways and smarter, more connected communities. With innovative traffic safety and enforcement technologies, we are shaping the infrastructure of tomorrow, built on data, driven by safety, and empowered by partnerships. As we grow, we are seeking a bold, visionary, and results-driven Product Development and Industrialization Lead who brings both the technical depth and hands-on drive to take our products from prototype to production at scale.

About the Role

We are seeking a senior-level product development and manufacturing professional who can take our AI-enabled electronic and electromechanical products from working prototypes and small production runs into reliable, cost-effective manufacturing at scale. This is a high-impact, hands-on role responsible for industrialization, product engineering, and technical leadership.

This role is for a proven builder who has personally scaled multiple physical products from tens of units into the thousands, and who can own the messy middle between prototype and production without requiring step-by-step direction.

The successful candidate will take ownership of scaling our products and bring strong AI and computer vision expertise to everything we build.

What You’ll Do

Scale Production: Lead products from prototype and small runs through pilot builds, validation, and production release at increasing volumes.
Design for Manufacturing: Apply design for manufacturing and assembly principles from the outset - component selection, tolerances, assembly methods, and testing.
Solve Scale-Up Challenges: Identify and resolve assembly inconsistencies, component availability, supplier quality issues, and production bottlenecks.
Drive Down Cost: Reduce unit cost, assembly time, rework, and scrap without compromising performance or field reliability.
Build with AI: Design and integrate computer vision, artificial intelligence, and machine learning into cameras, sensors, radar, and embedded systems for traffic safety solutions.
Test and Deploy: Lead prototyping, validation, field testing, and deployment of traffic and vision-based systems.
Lead Technically: Manage engineering projects end to end and provide technical direction to engineers, technicians, vendors, and manufacturers.

What You Bring

10+ years developing and scaling physical products
Proven personal contribution to scaling multiple products from tens of units into thousands
Strong experience with AI, machine learning, or computer vision in physical products
Degree in Mechanical, Mechatronics, Electrical, Manufacturing, or related Engineering, or equivalent experience
Hands-on experience with cameras, sensors, embedded systems, programming (Python, C/C++, MATLAB), and CAD (SolidWorks or CATIA)
P.Eng. or eligibility for registration with APEGA is preferred
Experience in traffic systems, intelligent transportation, or vehicle detection is desirable
People management, Lean, Six Sigma, or ISO experience is an asset
Willingness to travel as needed for testing, deployment, and supplier collaboration.

The Ideal Candidate:

You're a hands-on product builder who thrives on turning working prototypes into products that ship at volume. You combine engineering depth with practical problem-solving and are comfortable owning the path from design to production while bringing AI and vision technology into real-world hardware.

Proven Scaler: A track record of personally taking multiple physical products from small runs into thousands or tens of thousands
Manufacturing Minded: Designs with production, cost, and serviceability in mind from day one
AI-Forward Engineer: Brings strong computer vision and machine learning experience to physical, field-deployed products
Problem Solver: Thrives in the messy middle - diagnosing what breaks during scale-up and fixing it fast
Cost Conscious: Consistently finds ways to reduce unit cost and improve yield without sacrificing quality
Independent Operator: Highly self-directed and comfortable owning projects from concept to production
Clear Communicator: Explains technical risks and recommendations clearly to both engineers and executives
Driven to Deliver: Resilient, practical, and focused on getting products out the door

Why Join GTG?

Make a tangible difference in road safety, urban efficiency, and community well-being.
Join a team of purpose-driven professionals that values initiative, curiosity, and collaboration.
Competitive compensation, benefits, and the chance to grow your career while shaping the future of mobility.
You get your birthday off- PAID!
On site Parking

Work Conditions:

This position is a full-time, 40hr/week requirement
On-site requirement
Flexibility to work overtime to meet deadlines as required

Conditions of Employment:

Successful applicant will be required to obtain a satisfactory criminal background check.
Successful applicant must be a Canadian resident or lawfully able to work in Canada.

We wish to thank all applicants for their interest; however, only those candidates selected for interviews will be contacted.

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More about this job

Responsibilities

Lead the industrialization and scaling of AI-enabled electronic and electromechanical products from prototype to high-volume production. Manage engineering projects end-to-end while optimizing manufacturing processes, reducing costs, and ensuring product reliability.

Requirements

Requires 10+ years of experience in developing and scaling physical products with a strong background in AI, machine learning, or computer vision. Candidates must hold an engineering degree and possess hands-on expertise in embedded systems, CAD, and manufacturing principles.

Skills

Product development
Industrialization
Manufacturing
AI
Computer vision
Machine learning
Embedded systems
Python
C/C++
MATLAB
CAD
SolidWorks
CATIA
Design for manufacturing
Project management
Technical leadership

Benefits

Paid birthday off
On-site parking
Competitive compensation

Visa sponsorship

Not detected in the job text

Keywords

Product Development
Industrialization
Manufacturing
AI
Computer Vision
Machine Learning
Embedded Systems
Python
C++
MATLAB
CAD
SolidWorks
CATIA
Design for Manufacturing
Lean
Six Sigma
ISO
Traffic Safety
Intelligent Transportation
Prototyping
Validation
Field Testing
APEGA
P.Eng
Hardware Engineering
Supply Chain
Quality Control
Product Engineering
Sensors
Radar

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