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NVIDIA
NVIDIA
H1B vīzas sponsorsMākslīgais intelektsRažošanaVeselības aprūpe
NVIDIA izstrādā paātrinātās skaitļošanas un mākslīgā intelekta tehnoloģijas, ko izmanto spēļu, datu centru, mākoņdatošanas, veselības aprūpes, ražošanas, autobūves un robotikas jomās. Uzņēmuma darbība aptver grafikas procesorus, mākslīgā intelekta platformas, simulāciju un nozarei paredzētus risinājumus, tostarp NVIDIA Omniverse sadarbības 3D darbplūsmām, NVIDIA DRIVE autonomo transportlīdzekļu izstrādei un NVIDIA Clara veselības aprūpes lietojumprogrammām. Uzņēmums apvieno lielas tehniskās komandas, kas strādā pie infrastruktūras un programmatūras, kura nodrošina progresīvu skaitļošanu, simulāciju un mākslīgā intelekta vadītu analītiku.
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Vakances uzņēmumā

Senior CPU Physical Design and DTCO Engineer

Shape process technology choices for next-generation CPUs and assess their impact on power, performance, and area. Partner with foundry, IP, and hardware teams to advance early technology development for NVIDIA AI platforms.

USAmerikas Savienotās ValstisCAKalifornijaNCZiemeļkarolīnaOROregonaTXTeksasa
136 000 $ – 264 500 $ / gads
KlātienēPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDizainers
Node.jsPerlPython

Apraksts

  • Assess advanced process technologies and guide technology selection for future CPUs.
  • Use synthesis, place-and-route, and static timing analysis to measure process impacts on power, performance, and area.
  • Work with foundry, IP development, and hardware design teams in early technology development.
  • Analyze early pathfinding blocks to uncover implementation constraints and forecast scaling across technology nodes.
  • Compare competitor products and benchmarks to assess technology and design trade-offs.

Prasības

  • Master’s or Ph.D. in electrical engineering or a related discipline, or equivalent experience
  • At least five years of relevant experience
  • Strong knowledge of advanced-node silicon design and physical-design methods
  • Ability to assess physical implementation constraints and develop technology solutions that improve power, performance, and area
  • Proficiency in Python, Tcl, Perl, or comparable scripting languages, and familiarity with AI tools
  • Experience with DTCO or technology pathfinding for high-performance CPUs, GPUs, or AI accelerators is a standout qualification
  • Expertise in advanced circuit and physical-design optimization, clocking, memory, or timing closure is a standout qualification
  • Demonstrated ability to turn test-chip or silicon data into measurable product improvements is a standout qualification
  • Strong technical leadership and ability to collaborate across organizations is a standout qualification

Priekšrocības

  • Highly competitive salary
  • Comprehensive benefits package
  • Equity

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