Senior Software Engineer – TensorRT Edge-LLM
Tasks
- Benchmark and profile inference performance
- Collaborate across CUDA compilers and robotics teams
- Design compiler and runtime optimizations for transformers
- Develop CUDA kernels for transformer components
- Develop inference framework in C++
- Extend TensorRT with autoregressive serving
- Implement LoRA and MoE support
- Implement speculative decoding
- Incorporate emerging LLM inference techniques
- Manage KV cache
- Optimize inference for embedded automotive environments
Perks/Benefits
- N/A
Skills/Tech-stack
Attention | C++ | CUDA | Compiler optimization | FlashInfer | GEMM | GPU Architecture | KV cache | Kernel development | LoRA | MLC LLM | Mixture of Experts | Performance Profiling | Quantization | SGLang | Speculative decoding | Tensor Parallelism | TensorRT | TensorRT-LLM | Transformer Models | VLLM
Education
Regions
Countries
States
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