Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles
Tasks
- Analyze real and synthetic datasets for failure modes
- Build multi camera and multi sensor fusion models
- Collaborate with safety systems and software teams
- Create KPI frameworks for perception performance
- Define training and evaluation best practices
- Design and develop 3D perception models
- Develop efficient production deep learning models
- Drive data collection and labeling strategy
- Lead model assisted active learning and auto labeling
- Mentor engineers and provide technical leadership
- Own technical vision and roadmap for 3D obstacle perception
Perks/Benefits
Skills/Tech-stack
3D Computer Vision | Active Learning | Auto-labeling | BEV | C++ | CNN | CUDA | Camera Calibration | Computer Vision | Deep learning | Knowledge Distillation | Language Models | Large-scale | Large-scale pretraining | Lidar | LoRA | Model in the loop | Multi Sensor | Multi-sensor Fusion | Multi-view Geometry | PyTorch | Python | Radar | Representation Learning | Self-Supervised Learning | Self-supervised | Sensor fusion | Supervised Learning | The Loop | Transformer | Vision Language Models | Vision-language
Education
Regions
Countries
States
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