NVIDIA
NVIDIA
NVIDIA ойындарда, деректер орталықтарында, бұлтты есептеулерде, денсаулық сақтауда, өндірісте, автомобиль өнеркәсібінде және робот техникасында қолданылатын жеделдетілген есептеу мен жасанды интеллект технологияларын әзірлейді. Компанияның жұмысы графикалық процессорларды, жасанды интеллект платформаларын, модельдеуді және салаларға арналған шешімдерді қамтиды. Олардың қатарында бірлескен 3D жұмыс процестеріне арналған NVIDIA Omniverse, автономды көліктерді әзірлеуге арналған NVIDIA DRIVE және денсаулық сақтау саласындағы қолданбаларға арналған NVIDIA Clara бар. Компания озық есептеулерді, модельдеуді және жасанды интеллект негізіндегі талдауды қолдайтын инфрақұрылым мен бағдарламалық жасақтамада жұмыс істейтін ірі техникалық командаларды біріктіреді.

Senior Deep Learning Compiler Engineer – CUDA Tile and LPU

Develop CUDA Tile transformations and MLIR lowering passes for NVIDIA’s AI and GPU computing platforms. Improve tile-based kernel performance across GPU and LPU architectures.

Сипаттама

  • Support CUDA Tile, NVIDIA’s tile-based programming model, for LPU development
  • Design and implement compiler transformations
  • Create MLIR dialects and lowering passes
  • Improve tile-based kernel performance across multiple generations of NVIDIA GPU and LPU architectures
  • Define public APIs
  • Develop compiler and optimization methods
  • Handle performance tuning and broader software engineering tasks
  • Collaborate with an expert team on work serving the deep learning community

Талаптар

  • Bachelor’s, master’s, or doctoral degree in computer science, computer engineering, or a related discipline, or equivalent experience
  • At least three years of relevant experience or research in compiler optimization, performance analysis, and intermediate representation design
  • Ability to work autonomously, establish project goals and scope, and lead individual development efforts
  • Advanced C and C++ programming and software design skills, including debugging, performance analysis, and test planning
  • Strong communication skills and the ability to contribute effectively within a fast-moving, product-focused team
  • Familiarity with CPU and/or GPU architecture is preferred
  • Experience programming with CUDA or OpenCL is preferred
  • Experience with MLIR, LLVM, XLA, TVM, deep learning models, and deep learning algorithms is preferred

Артықшылықтар

  • Equity compensation
  • Comprehensive benefits package

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