ML Systems Engineer, ML Acceleration
Singapore, Central, Singapore
SGD 120K-155K (estimate) Senior-level Full Time
Tasks
- Develop GPU kernels with Triton or CUDA
- Implement optimization techniques like kernel fusion sharding tiling
- Optimize data loading pipeline throughput
- Optimize distributed training pipelines
- Profile training performance bottlenecks
Perks/Benefits
- N/A
Skills/Tech-stack
CUDA | Data loading | Distributed Training | GPU Kernels | Kernel Fusion | Profiling | PyTorch | PyTorch distributed | Python | Sharding | Tiling | Triton
Education
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