Perception Engineer
Tasks
- Build detection/segmentation/tracking architectures
- Create visualization triage and root cause tools
- Design training evaluation pipelines
- Implement multi sensor decision level fusion
- Instrument health metrics drift detection graceful degradation
- Optimize models for real-time embedded inference
- Perform simulation based testing with sensor models
- Validate algorithms using real world datasets
Perks/Benefits
Skills/Tech-stack
C++ | CI/CD | CUDA | Computer Vision | Convolutional Neural Network | Decision Level Fusion | FP16 | INT8 | Image Segmentation | Jetson | Lidar | Linux | Model Evaluation | Neural Network | ONNX Runtime | Object Detection | Object Tracking | Parquet | Pruning | PyTorch | Python | Quantization | Radar | Radar Signal Processing | SQL | Signal Processing | TensorRT | Transformer
Education
Roles
Regions
Countries
States
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