Senior Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles
Tasks
- Analyze real and synthetic datasets for failure modes
- Build production grade deep learning models
- Define data and labeling requirements
- Define perception KPI frameworks
- Deploy perception solutions for autonomous driving
- Design 3D obstacle perception pipeline
- Develop active learning and auto labeling workflows
- Develop perception model architectures
- Implement multi camera and multi sensor fusion models
- Optimize models for safety latency and robustness
- Run experiments and evaluate perception performance
Perks/Benefits
- N/A
Skills/Tech-stack
3D Computer Vision | Active Learning | Auto-labeling | BEV perception | C++ | CUDA | Camera perception | Computer Vision | Convolutional Neural Network | Deep learning | Efficient Fine Tuning | Fine Tuning | GPU Acceleration | Knowledge Distillation | Language Model | Large-scale | Large-scale pretraining | LoRA | Multi Camera | Multi Sensor | Multi-camera perception | Multi-sensor Fusion | Neural Network | Parameter efficient fine-tuning | PyTorch | Python | Representation Learning | Self-Supervised Learning | Self-supervised | Sensor fusion | Supervised Learning | Transformer | Vision Language Model | Vision-language
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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