AI / Computer Vision (IC)
Tasks
- Architect end to end computer vision pipelines for real world safety detection
- Co design computer vision stack with hardware and firmware teams
- Drive edge and cloud perception roadmap
- Lead reliability and performance optimization at scale
- Mentor and technically guide senior scientists and engineers
- Optimize and deploy models for constrained hardware
- Train production models using multimodal data
- Translate customer and business needs into engineering requirements
- Translate research into shipped product
Perks/Benefits
Skills/Tech-stack
Computer Vision | Edge inference | GPS/IMU | Language Models | Lidar | Low Latency | Low Latency Inference | Machine Learning | Machine learning deployment | Model Optimization | Multi Camera | Multi-camera fusion | Multimodal Perception | Object Detection | Performance optimization | Radar | Real Time | Real-time Machine Learning | Semantic Segmentation | Sensor fusion | Tracking | Transformer Architectures | Vision Language Models | Vision-language
Education
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