Principal Deep Learning Engineer – Perception, Autonomous Driving
Tasks
- Architect deep learning perception models
- Build object detection and segmentation systems
- Create multi object tracking pipelines
- Define data labeling guidelines
- Define data quality control metrics
- Develop train and deploy transformer based architectures
- Ensure ground truth quality for perception tasks
- Establish safety critical development process
- Identify and solve long tail corner cases
- Implement dense occupancy prediction
- Mentor engineers and guide technical roadmap
- Optimize models for edge deployment
- Productize production grade perception features
- Quantize and deploy models with TensorRT
Perks/Benefits
Skills/Tech-stack
3D Obstacle Detection | C++ | Computer Vision | Critical development | Data Quality | Data labeling | Deep learning | Edge Computing | Embedded Systems | Instance Segmentation | Model Optimization | Multi-object Tracking | Object Detection | Object Tracking | Obstacle Detection | Occupancy prediction | PyTorch | Python | Quantization | Safety Critical Development | Safety-Critical | Semantic Segmentation | TensorRT | Transformers
Education
Regions
Countries
States
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