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.
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.
Tavsif
- 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
Talablar
- 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
Imtiyozlar
- Equal opportunity workplace with non-discrimination across protected characteristics
- Structured training, mentorship, and practical project experience