Intel Corporation
Intel Corporation
Intel Corporation shaxsiy kompyuterlar, maʼlumotlar markazlari, bulut infratuzilmasi, chekka tizimlar, tarmoqlar va 5G muhitlarida qoʻllaniladigan hisoblash texnologiyalarini ishlab chiqadi va ishlab chiqaradi. Kompaniya portfeliga Intel Core, Xeon va Atom protsessorlari, shuningdek diskret grafik yechimlar, sunʼiy intellekt tezlatkichlari, kremniy fotonikasi, oʻrnatilgan yechimlar hamda tarmoq va maʼlumotlarni saqlash texnologiyalari kiradi. Shuningdek, kompaniya unumdorlik, xavfsizlik va sunʼiy intellekt imkoniyatlariga ega hisoblash texnologiyalarini rivojlantirishga eʼtibor qaratgan holda dasturiy vositalar va texnik resurslar orqali dasturchilarni qoʻllab-quvvatlaydi.

AI Software Engineering Graduate Intern in Shanghai

Graduate internship at Intel focused on reproducing and optimizing AI inference workloads for data-center technologies. Analyze performance and contribute to hardware-software co-design for advanced AI systems.

Tavsif

  • Profile and optimize AI algorithms, frameworks, and software architectures for accuracy and performance
  • Reproduce production AI inference workloads and create representative workload profiles
  • Analyze performance across software and hardware layers to identify system bottlenecks
  • Apply workload findings to hardware-software co-design initiatives for AI systems
  • Support applied research and the integration of hardware and software solutions for advanced AI systems

Talablar

  • Currently pursuing a bachelor's degree in computer engineering, electrical engineering, computer science, or a related technical discipline with 0–1 years of hands-on domain experience gained through internships, academic projects, coursework, or practical training; alternatively, hold a relevant master's degree with no prior professional experience
  • Proficiency in Python for experimentation and development
  • Foundational understanding of AI algorithms, models, and workload development
  • Familiarity with AI frameworks including PyTorch or TensorFlow
  • Basic knowledge of computer architecture, performance analysis, and profiling methods
  • Strong analytical and problem-solving abilities
  • Ability to work effectively in a collaborative, cross-functional engineering environment
  • Interest in AI systems research and practical AI applications across varied domains

Imtiyozlar

  • Practical experience contributing to the development of next-generation AI systems
  • Opportunity to expand technical knowledge and capabilities
  • Collaborative engineering workplace
  • Experience in applied research and hardware-software solution integration

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