Machine Learning Hardware Architect, Hardware, Software Co-Design, Google Cloud
Tasks
- Architect simulation frameworks and performance models
- Define hardware software co design roadmap for ML performance
- Drive power performance area tradeoffs
- Lead cross functional partnerships with hardware compiler and ML teams
- Optimize compute memory bandwidth and inter chip networks
- Perform system level performance analysis for distributed ML systems
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Chip architecture | Co-design | Compiler development | Computer Architecture | Deep Learning Hardware Acceleration | Deep learning | Deep learning hardware | Design verification | Digital design | Digital design verification | Distributed Systems | Hardware acceleration | Hardware-Software Co-design | Hardware/software | Machine Learning | Machine Learning Inference | Machine learning training | Performance Modeling | Power performance area | Power/performance | PyTorch | Python | Simulation | Software Co-design | System analysis | TPU architecture | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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