Machine Learning Performance Modeling Architect
Tasks
- Build analytical and simulation based performance models
- Capture machine learning workloads from applications and system usage
- Collect and interpret performance counters with software profilers
- Debug diagnose and resolve cross disciplinary system issues
- Evaluate architectural tradeoffs performance power and image quality
- Execute silicon technology and machine learning roadmap for performance power and form factor
- Generate and analyze telemetry data
- Lead power performance modeling analysis for machine learning components use cases
- Support silicon SoC development phases
Perks/Benefits
- N/A
Skills/Tech-stack
C# | C++ | Data Visualization | Heterogeneous computing | Image quality | Image quality evaluation | Machine Learning | Performance Modeling | Performance counters | Performance simulation | Power performance modeling | Power/performance | PyTorch | Python | Quality evaluation | Scientific Debugging | SoC Architecture | Software profiling | System Architecture | Telemetry | Telemetry Analysis | Thermal optimization | Workload Analysis | Workload optimization
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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