AI Computing Development Engineer, TensorRT and TensorRT-LLM AIGV

Responsibilities

• Design and develop robust inferencing software (TensorRT/TensorRT-LLM) optimized for functionality and performance across platforms
• Perform performance analysis, optimization, and tuning of deep learning inference workloads
• Track and integrate academic and industry advancements in AI and feature-update TensorRT/TensorRT-LLM accordingly
• Provide feedback into architecture and hardware design and development
• Collaborate across hardware, software, and research teams to shape the direction of machine learning inferencing across NVIDIA platforms
• Own and deliver technical work with scope based on experience, ranging from complex features to substantial parts of larger projects, with increasing independence and technical leadership over time
• Publish key technical results at leading scientific and engineering conferences
• What we need to see
• Masters or higher degree in Computer Engineering, Computer Science, Applied Mathematics, or related computing-focused field (or equivalent experience)
• Strong Python or C/C++ programming and software design experience, including debugging, performance profiling, and test design

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