Senior Software Engineer, CUDA Deep Learning Systems
Tasks
- Analyze hardware software performance bottlenecks
- Architect distributed computing systems
- Collaborate to co design systems and algorithms
- Design custom CUDA kernels
- Develop profiling and runtime tools
- Prototype deep learning model optimizations
- Write maintainable code for production transitions
Perks/Benefits
Skills/Tech-stack
C++ | CUDA | Computer Architecture | Deep Learning Compilers | Deep learning | Distributed Computing | Expert parallelism | FP8 | GPU | Generative AI | INT8 | Kernel optimization | Language Models | Large Language Models | Learning systems | Low Precision | Low-precision Arithmetic | MPI | Machine Learning | Machine learning systems | NCCL | Numerical Methods | Performance optimization | Pipeline parallelism | Profiling | Python | Systems programming | Tensor Parallelism | Torch compile | Transformers | Triton | UCX | Workload profiling | XLA
Education
Regions
Countries
States
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