Senior Deep Learning Engineer - AI for Wireless Systems
Tasks
- Benchmark and evaluate model performance
- Build models using simulation and real world datasets
- Design deep learning models for RAN applications
- Implement and deploy deep learning models on GPU platforms
- Integrate models into full stack AI pipelines
- Optimize model performance for real-time inference
- Prototype deep learning models
- Train and validate neural networks
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | CNN | CUDA | GNN | GPU Optimization | Model Compression | Neural Networks | PyTorch | Python | Real Time | Real-time Inference | Sequence Modeling | TensorFlow | Time Series | Transformer | Triton
Education
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