7 дней назад
Senior Computer Vision Engineer (Edge AI)
104 400 - 135 700CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Computer Vision Engineer (Edge AI): Designing and deploying high-precision computer vision and machine learning architectures for real-time Geotab camera systems with an accent on edge optimization, model reliability, and ultra-low-latency inference. Focus on quantization, pruning, knowledge distillation, hardware-accelerated deployment, failure-mode investigation, and mentoring engineers.
Location: Oakville, Ontario, Canada; flexible hybrid work model
Salary: CAD 104,400–135,700 annual base salary
Company
develops IoT, connected transportation, fleet management, vehicle data analytics, and camera-based safety solutions.
What you will do
- Design, implement, and validate deep learning architectures for real-time edge computer vision, including detection, segmentation, tracking, scene understanding, and sensor fusion.
- Improve code structure, training frameworks, deployment pipelines, testability, robustness, and maintainability.
- Optimize models for accuracy and ultra-low-latency execution using quantization, pruning, and knowledge distillation.
- Build model monitoring tools and CI/CD pipelines for reliable field deployment and updates.
- Investigate training failures, inference bottlenecks, and live performance issues while owning complex technical projects.
- Collaborate with technical leads, camera software engineers, platform developers, product managers, and internal partners; mentor engineers and participate in technical interviews.
Requirements
- 5–8 years of relevant industry experience and 5+ years of applied machine learning experience.
- Bachelor’s or master’s degree/diploma in computer science, software or electrical engineering, physics, mathematics, or a related quantitative field, or equivalent experience.
- Advanced hands-on proficiency in Python, C++, and deep learning frameworks including PyTorch, TensorFlow, and OpenCV.
- Experience with edge deployment libraries such as ONNX Runtime, OpenVINO, and CoreML.
- Knowledge of embedded accelerators and hardware architectures including Ambarella CVFlow, Qualcomm SNPE, and NVIDIA Jetson.
- Strong computer vision, machine learning, analytical, communication, problem-solving, and mentoring skills.
Culture & Benefits
- Flexible hybrid work supported by virtual collaboration and cloud-based tools.
- Home office reimbursement program.
- Medical and dental benefits, retirement savings program, and parental leave top-up program for full-time permanent employees.
- Online learning and networking opportunities.
- Electric vehicle purchase incentive program.
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