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NVIDIA
NVIDIA
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NVIDIA develops accelerated computing and artificial intelligence technologies used across gaming, data centers, cloud computing, healthcare, manufacturing, automotive, and robotics. Its work spans graphics processing units, AI platforms, simulation, and industry-focused solutions, including NVIDIA Omniverse for collaborative 3D workflows, NVIDIA DRIVE for autonomous vehicle development, and NVIDIA Clara for healthcare applications. The company brings together large technical teams working on the infrastructure and software that support advanced computing, simulation, and AI-driven analytics.
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Senior Deep Learning Software Engineer, Inference

Build and tune GPU-accelerated software for large-scale AI inference at NVIDIA. Improve open-source serving frameworks and model performance across NVIDIA accelerators.

USUnited StatesCACaliforniaMAMassachusettsNYNew YorkTXTexasWAWashington
$152,000 – $287,500 / year
HybridFull-timeSeniorEnglish RequiredFull-stack EngineerSoftware Engineer
C++PythonPyTorch

Description

  • Build and optimize GPU-accelerated software for AI applications.
  • Develop and maintain open-source frameworks for large-scale model serving and inference.
  • Enhance inference platforms and support language model deployment and serving.
  • Implement new algorithms for release through inference frameworks.
  • Drive performance gains for advanced LLM and generative AI models across NVIDIA accelerators.
  • Apply tools such as CUTLASS, OAI Triton, NCCL, and CUDA kernels to optimize model-serving pipelines.
  • Analyze and tune deep learning models in LLM, multimodal, and generative AI.
  • Scale model performance across architectures and NVIDIA accelerator types.
  • Contribute features and code to NVIDIA inference libraries, vLLM, SGLang, FlashInfer, and LLM software.
  • Work with teams across frameworks, NVIDIA libraries, and inference optimization solutions.

Requirements

  • Master’s degree, PhD, or equivalent experience in a relevant field such as computer engineering, computer science, EECS, or AI.
  • At least five years of relevant software development experience.
  • Strong C/C++ programming and software design skills.
  • Agile software development experience is helpful.
  • Python experience is a plus.
  • Production experience training, deploying, or optimizing deep learning model inference is a plus.
  • Experience in performance modeling, profiling, debugging, and code optimization, or knowledge of CPU and GPU architecture, is a plus.
  • GPU programming experience with CUDA, OAI Triton, or CUTLASS is a plus.
  • Experience contributing to deep learning software projects such as PyTorch, vLLM, or SGLang.
  • Experience with multi-GPU communications, including NCCL or NVSHMEM.

Benefits

  • Comprehensive benefits package.
  • Equity.

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