Senior Deep Learning Engineer - AI for Wireless Systems
Tasks
- Build models using simulation tools and real world datasets
- Design and prototype deep learning models for RAN applications
- Evaluate benchmark and validate models on GPU platforms
- Implement, train, and validate neural networks
- Integrate models into full stack systems and pipelines
- Optimize models for real time inference and hardware acceleration
- Train, optimize, and deploy deep learning models
Perks/Benefits
- N/A
Skills/Tech-stack
CUDA | Convolutional Neural Networks | GNN | GPU Optimization | Graph Neural Networks | Model Compression | Neural Networks | PyTorch | Python | Real Time | Real-time Inference | Sequence Modeling | Series modeling | TensorFlow | Time Series | Time Series Modeling | Transformers | Triton
Education
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