Senior Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles
Tasks
- Define KPI frameworks and analyze perception datasets
- Deploy perception solutions meeting safety latency and robustness requirements
- Design 3D perception models using multi camera and multi sensor fusion
- Develop 3D obstacle perception architecture and roadmap
- Implement data strategy for perception labeling and data collection
- Train and evaluate production grade deep learning models
Perks/Benefits
- N/A
Skills/Tech-stack
3D Computer Vision | Active Learning | Auto-labeling | BEV | C++ | CUDA | Camera Calibration | Computer Vision | Convolutional Neural Networks | Deep learning | Efficient Fine Tuning | Embedded Systems | Fine Tuning | GPU Acceleration | Knowledge Distillation | Language Models | Large-scale | Large-scale pretraining | LoRA | Model in the loop | Multi Camera | Multi Sensor | Multi-sensor Fusion | Multi-view Geometry | Neural Networks | Parameter efficient fine-tuning | PyTorch | Python | Representation Learning | Self-Supervised Learning | Self-supervised | Sensor fusion | Supervised Learning | The Loop | Transformers | Vision Language Models | Vision-language
Education
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