AI/ML Performance Analysis and Validation Engineer
Tasks
- Analyze AI ML performance characteristics
- Analyze performance trade offs in distributed computing
- Build performance models for AI ML applications
- Characterize application and platform performance
- Collaborate on cross-functional projects
- Develop simulation technologies
- Implement AI/ML applications
- Model data center architectures
- Validate AI ML applications on accelerators
Perks/Benefits
- N/A
Skills/Tech-stack
Computer Architecture | CoreML | Data center | Data center architecture | Distributed Computing | JAX | Machine Learning | Performance Modeling | PyTorch | Python | Simulation | Validation
Education
Regions
Countries
States
Cities
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