AI Computing Development Engineer, TensorRT and TensorRT-LLM

About this role

NVIDIA is hiring software engineers for its AI Computing team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning-powered AI, enabling breakthroughs in areas like generative AI, computer vision, speech recognition, recommender systems, and large-scale language and multimodal models. Join the team building the inferencing software (TensorRT/TensorRT-LLM) that will be used across our product lines

The ability to work in a fast-paced, delivery-focused environment is required, and excellent interpersonal skills are a must. What you'll be doing: 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 C/C++ or Python programming and software design experience, including debugging, performance profiling, and test design 2+ years working experience Strong curiosity about artificial intelligence and familiarity with the latest developments in deep learning — including generative models, multimodal systems, and large neural networks Experience working with deep learning frameworks such as PyTorch

Apply for this role on NVIDIA’s official careers site.