Senior Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles
Tasks
- Analyze real and synthetic datasets for failure modes
- Build production grade deep learning models
- Collaborate with safety systems and software teams
- Define KPI frameworks for perception metrics
- Design 3D perception models for obstacle detection and tracking
- Develop 3D obstacle perception architecture
- Implement multi camera and multi sensor fusion pipelines
- Optimize perception models for latency memory and compute constraints
- Run experiments and evaluate perception performance
- Specify data labeling requirements and manage data strategy
Perks/Benefits
Skills/Tech-stack
3D Computer Vision | Active Learning | Auto-labeling | BEV | C++ | CUDA | Camera Calibration | Camera perception | Computer Vision | Convolutional Neural Networks | Deep learning | Efficient Fine Tuning | Fine Tuning | Knowledge Distillation | Language Models | Large-scale | Large-scale pretraining | LoRA | Multi Camera | Multi-camera perception | Multi-view Geometry | Neural Networks | Parameter efficient fine-tuning | PyTorch | Python | Representation Learning | Self-Supervised Learning | Self-supervised | Sensor fusion | Supervised Learning | Transformer | Vision Language Models | Vision-language
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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