Machine Learning Hardware Architect, Hardware, Software Co-Design, Google Cloud
Tasks
- Analyze system level performance for distributed ML systems
- Architect simulation frameworks and performance models
- Define hardware software roadmap for ML performance
- Evaluate microarchitectural decisions for chip architecture
- Manage cross functional partnerships across hardware compiler and ML teams
- Optimize compute memory bandwidth and inter chip network
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Chip architecture | Co-design | Computer Architecture | Deep learning | Deep learning frameworks | Design verification | Digital design | Digital design verification | Distributed Systems | Hardware-Software Co-design | Hardware/software | Inter Chip Networking | Learning frameworks | Machine Learning | Memory bandwidth | Microarchitecture | Model Architecture | Performance Modeling | Power performance area | Power/performance | PyTorch | Python | Simulation Frameworks | Software Co-design | TPU architecture | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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