NVIDIA
NVIDIA
NVIDIA o‘yinlar, ma’lumotlar markazlari, bulutli hisoblash, sog‘liqni saqlash, ishlab chiqarish, avtomobilsozlik va robototexnika sohalarida qo‘llaniladigan tezlashtirilgan hisoblash hamda sun’iy intellekt texnologiyalarini ishlab chiqadi. Kompaniyaning faoliyati grafik protsessorlar, sun’iy intellekt platformalari, simulyatsiya va muayyan sohalarga mo‘ljallangan yechimlarni qamrab oladi. Bular qatoriga hamkorlikdagi 3D ish jarayonlari uchun NVIDIA Omniverse, avtonom transport vositalarini ishlab chiqish uchun NVIDIA DRIVE va sog‘liqni saqlash ilovalari uchun NVIDIA Clara kiradi. Kompaniya ilg‘or hisoblash, simulyatsiya va sun’iy intellekt asosidagi tahlilni qo‘llab-quvvatlaydigan infratuzilma hamda dasturiy ta’minot ustida ishlaydigan yirik texnik jamoalarni birlashtiradi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • Equity compensation
  • Comprehensive benefits package

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