Computer Vision Engineering Data & Analytics Oakville, Ontario

Geotab Inc.; Oakville; On-site; CAD 110,000 - 170,000; Full time

Job summary

Geotab is seeking a Senior Computer Vision Engineer to deliver advanced Edge AI contributions for its camera systems. You will design, implement, and validate real-time deep learning architectures while improving training frameworks and deployment pipelines.

You will work closely with Technical Leads, camera software engineers, platform teams, and product managers to drive feature releases and maintain code quality.

Qualifications

• Advanced hands-on proficiency in computer vision, machine learning, and edge deployment ecosystems.
• Experience designing and deploying real-time deep learning models for edge devices.
• Strong analytical and collaboration skills to work with cross-functional teams.

Responsibilities

• Deliver high-precision Edge AI contributions for Geotab camera systems.
• Design, implement, and validate novel deep learning architectures for real-time edge processing.
• Improve code structure, training frameworks, and deployment pipelines.
• Collaborate with Technical Leads, camera software engineers, platform developers, product managers, and partners.
• Mentor junior engineers to elevate team-wide capabilities and reduce technical debt.

Skills

Computer Vision

Edge AI

Deep Learning

CNNs

Transformers

Mentoring

Tools

PyTorch

TensorFlow

Linux

Job description

Geotab ® is a global leader in IoT and connected transportation and certified "Great Place to Work™." We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.

Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab's open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.

Our team is growing and we're looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it's like to be a Geotabber, check out ourblog and follow us @InsideGeotab onInstagram .

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Computer Vision Engineer who will deliver advanced, high-precision Edge AI technical contributions for Geotab camera systems. Operating with a high degree of execution and independence, this role designs, develops, and maintains scalable Compositional Video Understanding models while actively improving code structure and architecture for long-term maintainability. Recognized by peers for technical guidance on complex failure modes, the Senior Engineer works closely with Technical Leads to contribute to major feature releases, upholds a high technical bar, and actively mentors less senior developers to drive team velocity. If you love technology, and are keen to join an industry leader - we would love to hear from you!

What you'll do:

As a Senior Computer Vision Engineer, your key area of responsibility will be delivering advanced, high-precision Edge AI technical contributions for Geotab camera systems. You will design, implement, and validate novel deep learning architectures for real-time edge processing while continuously improving code structure, training frameworks, and deployment pipelines. You will need to work closely with Technical Leads, adjacent engineering teams, camera software engineers, platform developers, immediate team members, product managers, internal partners, and external candidates through the interview process.

To be successful in this role you will be a pragmatic project owner and self-starter with strong analytical skills, able to tackle systemic challenges under tight time constraints, evaluate systemic impacts, and mentor less senior engineers to elevate team-wide capabilities. In addition, the successful candidate will have advanced hands-on proficiency in computer vision, machine learning, and edge deployment ecosystems, with the ability to optimize models for ultra-low-latency performance, troubleshoot complex failure modes, and balance tech debt with business delivery.

How you'll make an impact:

• High-Precision Model Development: Design, implement, and validate novel, high-precision CV/ML deep learning architectures (CNNs, Transformers, etc.) for real-time edge processing, covering object detection, segmentation, tracking, scene understanding, and sensor fusion.
• Architecture & Clean Code Structure: Continuously improve codebase structure, model training frameworks, and deployment pipelines in service of testability, robustness, and maintainability.
• Design Documentation: Independently write, co-write,