SeniorSoftwareEngineer,DeepLearningInference

NVIDIA has been at the forefront of the deep learning revolution, pioneering innovations that have transformed the entire field. As the leading provider of GPUs and AI computing platforms, NVIDIA has empowered researchers and engineers worldwide to accelerate breakthroughs in artificial intelligence. We seek a versatile Senior Software Engineer who is passionate about performance optimization and generative AI. Our team brings the latest research in LLM inference — from novel decoding strategies to quantization schemes — into production across NVIDIA's hardware lineup, from large data center servers to powerful edge devices. We work on the most advanced architectures in the field, with a focus on NVIDIA's own. **What you 'll be doing:** * Implement and optimize inference algorithms for LLM and omnimodal architectures, including hybrid Mamba-Transformer and mixture-of-experts models * Profile inference pipelines using NVIDIA's profiling and simulation tools. Correlate simulation predictions against real hardware across data center and edge devices * Write and tune GPU kernels (CUDA, Triton) for operators like fused MoE layers, SSM state updates, and quantized GEMMs * Solve distributed inference problems: expert parallelism, communication-compute overlap, collective tuning, multi-node deployment * Build production-grade software inside major open-source libraries - vLLM, SGLang, Dynamo, FlashInfer * Own optimization features end-to-end, from scoping through delivery, collaborating with research, product, and engineering teams worldwide **What we need to see:** * B.Sc., M.Sc., or equivalent experience in Computer Science or Computer Engineering * 5+ years of hands-on software engineering experience in performance-critical systems * Solid understanding of deep learning architectures (Transformers, SSMs, MoE, …) * Experience with systems where hardware constraints matter: GPU programming, memory hierarchy, networking, or distributed computing * Strong software engineerin