Senior Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles
Tasks
- Analyze real and synthetic datasets
- Build production grade deep learning models
- Collaborate with data and ground truth teams
- Collaborate with safety systems and software teams for deployment
- Define KPI frameworks for perception performance
- Define training objectives and run experiments
- Design and implement 3D perception models
- Design data and labeling strategy
- Develop 3D obstacle perception architecture
- Improve perception accuracy robustness efficiency
- Train and evaluate perception models
Perks/Benefits
Skills/Tech-stack
3D Computer Vision | 3D representations | Active Learning | Auto-labeling | BEV | C++ | CUDA | Camera Calibration | Computer Vision | Convolutional Neural Network | Deep learning | Embedded Systems | Language Models | LoRA | Multi Camera | Multi Sensor | Multi-sensor Fusion | Multi-view Geometry | Neural Network | PyTorch | Python | Real Time | Real-time Systems | Representation Learning | Self-Supervised Learning | Self-supervised | Sensor fusion | Supervised Learning | Time Systems | Transformer | Vision Language Models | Vision-language
Education
Regions
Countries
States
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