Research Scientist, ML H/W-SW Codesign
Tasks
- Analyze ML acceleration interactions with systems
- Attend conferences and interpret research papers
- Codevelop ML accelerator and system architecture
- Develop model compression techniques
- Evaluate approaches with methodology and benchmarks
- Identify ML acceleration problems
- Integrate algorithms with software
- Optimize models for hardware accelerators
- Publish and patent novel outcomes
- Solve hardware software co-design problems
Perks/Benefits
- N/A
Skills/Tech-stack
C# | C++ | Deep learning | GPU Architecture | Hardware acceleration | High Performance | High-Performance Computing | Knowledge Distillation | ML Compiler | Machine Learning | Model Compression | Model Pruning | Model Quantization | Numerics | On-device Inference | Performance Computing | PyTorch | Python | SWHW CoDesign | TensorFlow | Training Optimization
Education
Regions
Countries
States
Cities
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