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# Senior Deep Learning Software Engineer, TensorRT...

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Nvidia CUDA, Computer Engineering, Python (Programming Language), Performance Tuning, Recommender Systems, Tensorflow, Software Engineering, Graphics Processing Unit (GPU), Pytorch, Large Language Models, Deep Learning, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, TensorRT
- **Published:** June 23, 2026
- **Apply:** https://www.juju.com/job/00000000gagkig

## About the Role

+ Bachelors, Masters, PhD, or equivalent experience in relevant fields (Computer Science, Computer Engineering, EECS, AI).

 + At least 3 years of relevant software development experience.

 + Strong C++, Python programming and software engineering skills

 + Experience with DL frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX) and inference libraries (e.g. TensorRT, TensorRT-LLM, vLLM, SGLang, FlashInfer).

 + Experience with performance analysis and performance optimization

Ways to stand out from the crowd:

 + Strong foundation and architectural knowledge of GPUs.

 + Deep understanding of modern deep learning models and workloads (e.g. Transformers, Recommenders, ASR, TTS, Visual Understanding).

 + Proficiency in one of the deep learning programming domain specific languages (e.g. CUDA/TileIR/CuTeDSL/cutlass/Triton).

 + Prior contributions to major LLM inference frameworks (e.g. vLLM) or prior experience with graph compilers in deep learning inference (e.g. TorchDynamo/TorchInductor).

 + Prior experience optimizing performance for low-latency, resource-constrained systems or embedded AI pipelines (e.g. Jetson systems or other edge AI accelerators).



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