AI Software Engineer
Tasks
- Customize inference frameworks
- Deploy end to end model serving
- Design inference serving systems
- Design serving API
- Develop custom GPU operations
- Disaggregate prefill and decode
- Implement inference optimizations
- Manage KV cache
- Monitor latency SLOs
- Profile CUDA kernels
- Quantize models
- Respond to incidents
- Translate model changes into inference implementations
- Tune continuous batching
- Tune speculative decoding
Perks/Benefits
- N/A
Skills/Tech-stack
C plus plus | CUDA | CUDA kernel | Continuous batching | FP8 | INT4) | INT8 | KV cache | Latency SLO | MOE | Multimodal Models | Nsight | ONNX Runtime | Prefill decoding disaggregation | Python | Quantization | SGLang | Speculative decoding | TensorRT | TensorRT-LLM | Transformer Models | VLLM
Education
N/A
Roles
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