Member of Technical Staff, ML Inference Engineering
Tasks
- Build inference benchmarking and monitoring
- Develop low level runtime inference services
- Implement CUDA and Triton optimizations
- Implement fault-tolerant data ingestion
- Improve mixed precision training and inference
- Optimize GPU and system performance
- Optimize quantization and model graphs
- Own inference engine and runtime services
- Profile latency throughput memory compute
- Scale inference and training across multi GPU multi node
Perks/Benefits
- N/A
Skills/Tech-stack
Autoscaling | Bare Metal | CUDA | Distributed Storage | Distributed Systems | FP16 | FP8 | Inference engine | Infiniband | Kubernetes | LLM serving | Language Model | Large Language Model | LoRA | Machine Learning | Mixed Precision | Model Optimization | Multi-GPU | Multi-LoRa | Multi-node | NVIDIA GPU | Python | Quantization | RoCE | Schedulers | Triton
Education
N/A
Regions
Countries
States
Cities
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