LLM Inference Engineer
Tasks
- Benchmark and improve system performance across deployment scenarios and GPU types
- Design multi-node serving architectures for distributed LLM inference
- Develop disaggregated serving solutions with optimized caching
- Implement quantization techniques for transformer models
- Implement speculative decoding for latency optimization
- Optimize multi-LoRA serving systems
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | CUDA | Caching | Distributed Systems | GPU Optimization | LoRA | Python | Quantization | Speculative decoding | Transformer
Education
N/A
Roles
Regions
Countries
States
Cities
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