Senior Deep Learning Computer Architect
Tasks
- Analyze behavior of deep learning methods
- Collaborate with deep learning researchers and software engineers
- Conduct performance analysis and optimization
- Design hardware accelerator architectures
- Perform GPU and system level architecture analysis
- Propose features to accelerate deep learning methods
- Study benefits of proposed hardware features
- Tune performance for LLM workloads
Perks/Benefits
Skills/Tech-stack
Attention | C++ | CUDA | Communication Convolution | Computer Architecture | GPU Architecture | Kernel Fusion | LLM workloads | Matrix multiplication | Parallelization | Performance Analysis | Performance optimization | PyTorch | Python
Education
Regions
Countries
States
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