Senior Deep Learning Software Engineer, TensorRT Performance
US, CA, Santa Clara, United States
USD 152K-287K Senior-level Full Time
Tasks
- Analyze inference performance issues
- Build deep learning inference performance benchmarking methodologies
- Collaborate with cross functional teams to develop inference solutions
- Create model pipelines with quantization scheduling memory management and distributed inference
- Develop inference framework features for TensorRT and OSS frameworks
- Implement graph compiler algorithms and code generators
- Optimize deep learning models for NVIDIA accelerators
- Scale model performance across different GPU and edge architectures
Perks/Benefits
Skills/Tech-stack
C++ | CUDA | Distributed inference | GPU Architecture | Graph Compiler | JAX | Memory Management | ONNX | Performance Analysis | Performance optimization | PyTorch | Python | Quantization | Scheduling | TensorFlow | TensorRT | Triton | VLLM
Education
Regions
Countries
States
Cities
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