Research Scientist, ML H-W/S-W Codesign
Tasks
- Attend conferences and interpret research papers
- Codesign ML accelerator and system architecture
- Contribute to patents and peer reviewed publications
- Define use cases and create evaluation benchmarks
- Develop model compression and scalability techniques
- Evaluate ML acceleration interactions with surrounding systems
- Identify ML acceleration problems
- Integrate algorithms and software for accelerator optimization
- Optimize models on hardware accelerators with latency and power constraints
- Perform data driven trade off analysis for partner alignment
- Solve co design problems with hardware and software teams
Perks/Benefits
- N/A
Skills/Tech-stack
Algorithm Design | Benchmarks | C plus plus | C# | Computer Vision | Hardware Architecture | Hardware acceleration | Hardware-Aware Machine Learning | Knowledge Distillation | Language Models | Language Processing | Large Language Models | Latency optimization | ML Compilers | Machine Learning | Model Compression | Model Evaluation | Model Inference | Multimedia | Multimodal AI | Natural Language | Natural Language Processing | Network Pruning | Network design | Neural Network | Neural network pruning | Numerics | Power Optimization | PyTorch | Python | System Architecture | TensorFlow | Training
Education
Regions
Countries
States
Cities
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