Model Optimization Engineer
Tasks
- Apply model compression techniques
- Collaborate with cross functional teams on AI systems
- Debug and analyze performance bottlenecks
- Manage memory hierarchy and parallelism
- Minimize inference latency
- Optimize GPU kernels
- Optimize training throughput
- Profile CPU GPU and distributed systems
- Reduce AI workload cost
- Tune distributed training and inference
- Use instrumentation for performance measurement
Perks/Benefits
Skills/Tech-stack
C++ | CUDA | Compiler optimization | Cutlass | Debugging | Deep learning | DeepSpeed | Distributed Training | Distributed inference | FinOps | GPU Architecture | Memory Management | Model Compression | Parallel Computing | Profiling | Python | TensorRT | TensorRT-LLM | Triton | VLLM | VLLM Inference
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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