Research Scientist, ML Systems
Tasks
- Accelerate model training and inference
- Co design ML systems and infrastructure
- Design and implement numerical algorithms in Cplusplus and CUDA
- Identify and resolve performance bottlenecks across CPU GPU interconnect
- Profile and analyze deep learning workloads
- Re engineer machine learning model building blocks for performance gains
- Stay current with HPC computer architecture and ML systems research
Perks/Benefits
Skills/Tech-stack
C++ | CUDA | Computer Architecture | Deep learning | High Performance | High-Performance Computing | Interconnect optimization | Latency | MPI | Memory bandwidth | Numerical Algorithms | OpenMP | Performance Computing | Performance Profiling
Education
Regions
Countries
States
Cities
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