NVIDIA
NVIDIA
NVIDIA dezvoltă tehnologii de calcul accelerat și inteligență artificială utilizate în domenii precum jocurile video, centrele de date, cloud computing, asistența medicală, producția, industria auto și robotica. Activitatea companiei acoperă unități de procesare grafică, platforme de inteligență artificială, simulare și soluții dedicate anumitor industrii, inclusiv NVIDIA Omniverse pentru fluxuri de lucru colaborative 3D, NVIDIA DRIVE pentru dezvoltarea vehiculelor autonome și NVIDIA Clara pentru aplicații medicale. Compania reunește echipe tehnice numeroase care lucrează la infrastructura și software-ul ce susțin calculul avansat, simularea și analiza bazată pe inteligență artificială.

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.

Descriere

  • 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.

Cerințe

  • 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.

Beneficii

  • Comprehensive benefits package.
  • Equity.

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