Model Optimization Engineer
Tasks
- Apply model compression techniques
- Implement measurement driven performance improvements
- Improve memory management and parallelism
- Minimize inference latency
- Optimize GPU kernels
- Optimize training throughput
- Profile CPU GPU and distributed systems
- Reduce training and inference cost
- Review designs and mentor engineers
- Support instrumentation and debugging
- Tune distributed training and inference
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Compiler optimization | Cutlass | Debugging | Deep learning | DeepSpeed | Distributed Training | Distributed inference | FinOps | GPU Architecture | Memory Management | Model Compression | Model Parallelism | Profiling | Python | TensorRT-LLM | Triton | VLLM
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