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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

PCB Design EDA and AI Engineer (2027 Graduate)

Entry-level engineer developing EDA automation and AI applications for PCB design. Support NVIDIA’s next-generation GPU and AI computing hardware platforms.

TWTaivānaKlātienēPilna slodzeSākuma līmenisNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženieris
Python

Apraksts

  • Help develop and improve automation tools and processes for NVIDIA hardware design
  • Explore research and practical applications of AI in PCB design engineering
  • Support EDA research and development for PCB design and manufacturing technologies
  • Collaborate daily with global EDA and hardware engineering teams
  • Coordinate with teams across PCB, circuit, mechanical, component library, signal integrity, validation, and manufacturing disciplines
  • Address complex engineering automation challenges
  • Refine design methods and workflows to improve product performance and design efficiency

Prasības

  • Bachelor’s degree or higher in automation, electrical and electronic engineering, computer engineering, or a related engineering discipline
  • Familiarity with electronic circuits and PCB design
  • Experience with Cadence or comparable EDA design software
  • Python knowledge or experience developing EDA scripts
  • Familiarity with GitLab and CI/CD workflows
  • Basic understanding of AI agent practices and concepts
  • Strong English communication skills for daily work
  • Strong analytical reasoning and engineering problem-solving skills
  • Effective communication and collaboration skills, including in cross-functional teams
  • Self-motivated, interested in technological innovation, and eager to keep learning and exploring new technologies
  • Graduating from college in 2027
  • PCB, electronic hardware, or system design project experience gained through coursework, competitions, research, internships, or personal projects
  • Understanding of PCB manufacturing processes and design methods such as DFF, DFA, and DFT
  • Experience with CUDA programming and knowledge of NVIDIA GPU architectures, including Hopper and Blackwell

Priekšrocības

  • Equal opportunity workplace with non-discrimination across protected characteristics
  • Structured training, mentorship, and practical project experience

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