Principal Deep Learning Engineer – Perception, Autonomous Driving
US, CA, Santa Clara, United States
USD 272K-431K Senior-level Full Time
Tasks
- Architect deep learning perception models
- Define data labeling guidelines
- Develop train and deploy deep learning architectures
- Drive end to end productization of perception models
- Ensure high fidelity ground truth
- Establish data quality control metrics
- Identify and solve corner case driving scenarios
- Influence cross-functional teams
- Mentor senior engineers
- Set technical roadmap for perception architectures
- Ship production grade perception features
Perks/Benefits
Skills/Tech-stack
3D Obstacle Detection | C++ | Computer Vision | Data Pipelines | Data Quality | Data labeling | Edge Computing | Embedded deployment | Instance Segmentation | Model Optimization | Multi-Modal | Multi-modal Perception | Multi-object Tracking | NVIDIA TensorRT | Object Detection | Object Tracking | Obstacle Detection | Occupancy prediction | PyTorch | Python | Quantization | Semantic Segmentation | Sensor fusion | Temporal Tracking | Transformer
Education
Regions
Countries
States
Cities
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