Senior Computer Vision Engineer
Tasks
- Build and optimize cloud and edge inference pipelines for RGB NIR PTZ and multi camera systems
- Build lightweight detection segmentation classification and temporal reasoning models for real time inference
- Design and implement cloud edge AI architectures for real time computer vision
- Design deployment monitoring OTA updates and observability for edge AI
- Develop computer vision models for wildfire smoke detection vegetation detection and asset detection
- Develop hybrid edge cloud AI workflows for latency bandwidth and compute efficiency
- Improve inference latency throughput memory usage and power efficiency
- Lead model compression with quantization pruning and knowledge distillation
- Mentor engineers and establish best practices for edge AI and computer vision development
- Port and optimize deep learning models for ARM64 CUDA TensorRT ONNX and NVIDIA Jetson
Perks/Benefits
Skills/Tech-stack
3D Computer Vision | ARM64 | C++ | CUDA | Camera Calibration | Computer Vision | Depth Estimation | Image classification | Instance Segmentation | MLOps | Multi Camera | Multi-camera calibration | Multi-object Tracking | NIR | NVIDIA Jetson | ONNX | Object Detection | Object Tracking | PTZ | PyTorch | Python | RGB | Semantic Segmentation | TensorRT | Video Understanding
Education
Regions
Countries
States
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