Lead and manage a team developing accelerated image and data processing and compression solutions, define project goals and roadmaps, ensure execution and delivery, and collaborate with internal/external customers and the open source community. Requires a Bachelor’s/Master’s (or equivalent) and at least 5 years of experience including 3+ years managing teams; strong C++ and Python skills; experience with parallel programming and performance optimization on modern architectures (CUDA, MPI, NVSHMEM, NCCL, AVX). Location listed as US, CA, Remote. Expected base salary range: 200,000–322,000 USD per year.

NVIDIA seeks a Senior Math Libraries Engineer to scope, design, and implement numerical dense linear algebra software for AI and HPC on GPUs. Role requires C++ experience (8+ years), expertise in kernel generation, JIT/composable library design, performance optimization, collaboration across teams, and technical leadership. Preferred experience includes CUDA, parallel programming models (MPI/OpenMP/OpenACC/pthreads), assembly for performance, Python scripting, and familiarity with ML/DL and GPU hardware.

Senior Math Libraries Engineer role to design, implement, and optimize C++/CUDA systems for unstructured sparsity in deep learning and HPC on NVIDIA GPUs; enable integration with Python/PyTorch, evaluate performance on real applications, and collaborate with product and partners. Requires 6+ years of high-performance software development experience.

NVIDIA is hiring a Senior Deep Learning Software Engineer for inference to design, build, and optimize GPU-accelerated software for large-scale model serving. The role involves performance tuning of LLM, multimodal and generative AI models across NVIDIA accelerators, contributing to inference libraries (vLLM, SGLang, FlashInfer), and using tools like CUTLASS, Triton, NCCL and CUDA. Requires a Master's/PhD or equivalent experience and 6+ years of relevant software development experience with strong C/C++ skills; Python and production inference/deployment experience are advantageous.

NVIDIA seeks a Senior Software Engineer to design and implement JAX core components, drive performance on NVIDIA products, and collaborate with researchers and cross-functional teams. Requires 6+ years' experience, strong C/C++ and Python skills, knowledge of ML framework internals, CPU/GPU architectures, numeric libraries, and experience with distributed training and performance optimization.

Role involves understanding, profiling, and optimizing DL training and inference on state-of-the-art hardware; collaborating across research and engineering teams; implementing production-quality software and building automation tools. Requires 5+ years experience, strong DL and computer-architecture background, and programming skills in C++ and Python; GPU programming (CUDA/OpenCL) and LLM framework experience are advantageous.