Deep Learning Software Engineer
Tasks
- Build and optimize deep learning frameworks
- Design and develop AI software
- Develop machine learning primitives in mathematical libraries
- Identify performance bottlenecks
- Implement distributed deep learning algorithms
- Optimize code for hardware backends
- Profile distributed deep learning models
- Propose performance optimization solutions
- Transform neural network computational graphs
Perks/Benefits
Skills/Tech-stack
Asynchronous Communication | C++ | Data parallelism | Deep learning | Distributed Training | Kernel development | LLM | Model Parallelism | OpenVINO | Parameter Server | Performance Profiling | PyTorch | Python | TensorFlow
Education
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