Senior GPU Architect, Deep Learning
Tasks
- Advance parallel computation
- Design hardware features for deep learning workloads
- Develop simulators and test infrastructure
- Develop testing and metrics systems
- Develop tools to analyze simulate validate and verify models
- Map deep learning workloads to hardware
Perks/Benefits
Skills/Tech-stack
C# | C++ | Computer Architecture | Deep learning | GPU Architecture | High Performance | High-Performance Computing | Parallel Computing | Performance Computing | Perl | Python | RTL | Signal Processing
Education
Regions
Countries
States
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