Senior Software Engineer, Fleet-level ML Performance
Tasks
- Collaborate with data center hardware architecture and framework teams to define hardware and software requirements
- Design and implement unified ML accelerator platform performance estimation methodology
- Partner with cross functional ML stack teams to analyze and optimize performance
- Perform fleet level performance analysis of machine learning workloads on TPU systems
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Computer Architecture | Deep learning | Embedding architectures | Machine Learning | Performance Analysis | Power Management | Python | Reliability Availability Serviceability | Scheduling | Simulation
Education
Regions
Countries
States
Cities
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