Computer Vision Engineering

Role overview

Key responsibilities

• Design and validate deep learning architectures for real-time edge processing, including detection, segmentation, tracking, scene understanding, and sensor fusion.
• Improve code structure, training frameworks, deployment pipelines, monitoring tools, and CI/CD processes.
• Optimize models for accuracy and ultra-low latency using quantization, pruning, and knowledge distillation.
• Investigate training failures, inference bottlenecks, and field performance issues.
• Own complex projects, collaborate across engineering and product teams, and support major feature releases.
• Mentor engineers and interns and participate in technical interviews and candidate evaluations.

Required qualifications

• 5 to 8 years of relevant industry experience and at least 5 years of hands-on applied machine learning experience.
• Bachelor’s or master’s degree or diploma in a relevant quantitative or engineering field, or equivalent advanced education and exceptional industry experience.
• Advanced proficiency in Python, C++, deep learning frameworks, and edge deployment libraries.
• Working knowledge of embedded hardware architectures and accelerators.
• High proficiency in computer vision, machine learning, and multimodal AI.
• Strong analytical, problem-solving, communication, mentoring, and technical decision-making skills.

Work model

• Geotab uses a flexible hybrid working model supporting both in-person and virtual work.
• Employees may work from home with reliable internet and are encouraged to use the company’s offices as often as desired.

Compensation

• The hiring range is $104,400 to $135,700 CAD.
• The annual base salary depends on skills, qualifications, education, experience, work location, market data, and other compensation components.

Benefits and programs

• Full-time permanent employees may receive home office reimbursement, parental leave top-up, learning opportunities, medical and dental benefits, retirement savings, and other programs.

About Geotab