Deep Learning Software Engineer, TensorRT Performance - New College Grad 2026
Tasks
- Analyze inference performance issues
- Build deep learning inference benchmarking workflows
- Contribute to TensorRT inference frameworks
- Develop distributed inference pipelines
- Develop graph compiler algorithms
- Develop optimized model pipelines
- Generate inference code
- Implement inference frontend operators
- Implement quantization scheduling memory management
- Optimize deep learning models for NVIDIA accelerators
- Scale inference performance across GPU and edge devices
Perks/Benefits
Skills/Tech-stack
C++ | CUDA | Distributed Computing | GPU Architecture | Graph Compiler | JAX | Latency optimization | Low Latency | Low latency optimization | Memory Management | Model Quantization | ONNX | Performance Analysis | Performance optimization | PyTorch | Python | TensorFlow | TensorRT | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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