Senior Software Engineer, GPU Code Generation for Machine Learning Inference

NVIDIA is seeking talented engineers to join the TensorRT team and advance high-performance AI inference on NVIDIA GPUs. Our team develops software that accelerates state-of-the-art generative AI models for local and enterprise deployments. We solve challenging problems in GPU code generation, just-in-time compilation, and inference optimization to deliver high performance across diverse models and hardware configurations. As a Senior Software Engineer, you will develop advanced GPU inference software for TensorRT. We’re looking for engineers with strong experience in GPU optimization and compiler development who can translate a deep understanding of GPU execution into efficient code generation and measurable improvements in generative AI inference. What you’ll be doing: Design and implement efficient GPU code generation techniques in TensorRT that balance generated code performance, compilation overhead, and startup latency. Develop compiler optimizations, including operator fusion, dynamic scheduling, and specialization for model shapes, data types, and GPU architectures. Profile workloads and analyze generated GPU code to identify bottlenecks and guide compiler and runtime improvements. Develop robust, maintainable software in C++, and Python for tooling, testing, and performance analysis. Collaborate with GPU architects, kernel developers, compiler engineers, and deep learning experts to guide hardware and software design. What we need to see: BS, MS, or PhD in Computer S