Software Engineer, CUDA Deep Learning Systems
Tasks
- Analyze hardware software interactions and performance bottlenecks
- Architect and optimize distributed computing systems
- Collaborate to co design systems and algorithms for accelerators
- Design implement and optimize CUDA kernels
- Develop profiling tools and runtime systems
- Prototype deep learning model optimizations
- Write maintainable code for prototype to production
Perks/Benefits
Skills/Tech-stack
C++ | CUDA | Computer Architecture | Deep learning | Distributed Computing | FP8 | GPU | INT8 | Inference | JAX | Low Precision | MPI | NCCL | Performance optimization | Profiling | PyTorch | Python | Systems programming | TensorRT | Torch compile | Training | Transformers | Triton | UCX | VLLM | XLA
Education
Roles
Regions
Countries
States
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