NVIDIA
Artificial Intelligence
SeniorDeepLearningSoftwareEngineer,Inference
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Deep Learning Software Engineer, Inference at NVIDIA. Skills: Deep Learning Inference, GPU-accelerated software, SGLang, vLLM, LLM, Generative AI, performance optimization, CUDA, OAI Triton, CUTLASS. design, build, and optimize the GPU-accelerated software that powers today’s most sophisticated AI applications. developing and maintaining high-performance deep learning frameworks, including SGLang and vLLM”
What You'll Achieve.
driving performance improvements for state-of-the-art LLM and Generative AI models; facilitating smooth deployment and serving of groundbreaking language models; drive advancements in the field
Industry & Context.
performance optimization; analysis; tuning; performance modeling; profiling; debug; code optimization
What They're Looking For.
Must Have
Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI), 6+ years of relevant software development experience, Excellent C/C++ programming and software design skills
Nice to Have
SW Agile skills are helpful, Python experience is a plus, Prior experience with training, deploying or optimizing the inference of DL models in production is a plus, Prior background with performance modeling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus, Contribute to Deep Learning Software projects, such as PyTorch, vLLM, and SGLang to drive advancements in the field, Experience with Multi-GPU Communications (NCCL, NVSHMEM), Experience building and shipping products to enterprise customers, GPU programming experience (CUDA, OAI TRITON or CUTLASS)
What You'll Do.
and optimize the GPU-accelerated software that powers today’s most sophisticated AI applications
developing and maintaining high-performance deep learning frameworks
including SGLang and vLLM
improving these platforms
facilitating smooth deployment and serving of groundbreaking language models
implement the latest algorithms for public release in frameworks like SGLang and vLLM
as well as other DL frameworks
identifying and driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators
implement and optimize model serving pipelines
Performance optimization
and tuning of DL models in various domains like LLM
Multimodal and Generative AI
Scale performance of DL models across different architectures and types of NVIDIA accelerators
Contribute features and code to NVIDIA’s inference libraries
FlashInfer and LLM software solutions
Work with cross-collaborative teams across frameworks
NVIDIA libraries and inference optimization innovative solutions
How You'll Work.
Team & Collaboration
Work with cross-collaborative teams across frameworks, NVIDIA libraries and inference optimization innovative solutions
Full Job Description
NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team. As a key contributor, you will help design, build, and optimize the GPU-accelerated software that powers today’s most sophisticated AI applications. Our team is responsible for developing and maintaining high-performance deep learning frameworks, including SGLang and vLLM, which are at the forefront of efficient large-scale model serving and inference. You will play a central role in improving these platforms, facilitating smooth deployment and serving of groundbreaking language models. You’ll work closely with the deep learning community to implement the latest algorithms for public release in frameworks like SGLang and vLLM, as well as other DL frameworks. Your work will focus on identifying and driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators, from datacenter GPUs to edge SoCs. You'll bring to bear open-source tools and plugins—including CUTLASS, OAI Triton, NCCL, and CUDA kernels—to implement and optimize model serving pipelines. **What you 'll be doing:** * Performance optimization, analysis, and tuning of DL models in various domains like LLM, Multimodal and Generative AI. * Scale performance of DL models across different architectures and types of NVIDIA accelerators. * Contribute features and code to NVIDIA’s inference libraries, vLLM and SGLang, FlashInfer and LLM software solutions. * Work with cross-collaborative teams across frameworks, NVIDIA libraries and inference optimization innovative solutions. **What we need to see:** * Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI). * 6+ years of relevant software development experience. * Excellent C/C++ programming and software design skills. SW Agile skills are helpful and Python experience is a plus. * Prior experience with training, deploying or optimizing the inference of DL models in
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