Computer Vision Engineering
Core
Design, implement, and validate high-precision Edge AI models for real-time processing in Geotab camera systems, focusing on object detection, segmentation, tracking, and sensor fusion.
Role type
Senior IC Computer Vision Engineer (Edge AI)
Builds
Scalable Compositional Video Understanding models and edge deployment pipelines for commercial vehicle camera systems
Domain
IoT, Connected Transportation, Computer Vision, Edge AI
Deliverable
production ML models
Required skills
Deep learning architecture design (CNNs, Transformers), Edge model optimization (quantization, pruning, knowledge distillation), CI/CD pipeline automation, System failure mode diagnosis, Python, C++, PyTorch, TensorFlow, OpenCV, ONNX Runtime, OpenVINO, CoreML, Embedded hardware architecture knowledge
Preferred skills
Experience with Ambarella CVFlow, Qualcomm SNPE, NVIDIA Jetson, Multi-modal AI ecosystems
Technologies
PyTorch, TensorFlow, OpenCV, ONNX Runtime, OpenVINO, CoreML, Ambarella CVFlow, Qualcomm SNPE, NVIDIA Jetson
Responsibilities
Design and validate novel deep learning architectures for real-time edge processing; Optimize models for ultra-low-latency performance on edge hardware; Build and refine CI/CD pipelines for edge model monitoring; Diagnose and troubleshoot complex model training failures and inference bottlenecks; Mentor less senior engineers; Collaborate with adjacent engineering teams and product managers to execute feature releases
Seniority
Senior, hands-on IC with mentorship responsibilities
