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Intel Corporation
Intel Corporation
Sponsor pentru viza H1BConsultanțăIndustria prelucrătoareLogistică
Intel Corporation dezvoltă și produce tehnologii de calcul utilizate în computere personale, centre de date, infrastructuri cloud, sisteme edge, rețele și medii 5G. Portofoliul companiei include procesoarele Intel Core, Xeon și Atom, precum și plăci grafice discrete, acceleratoare pentru inteligență artificială, fotonică pe bază de siliciu, soluții încorporate și tehnologii de rețelistică și stocare. Compania sprijină, de asemenea, dezvoltatorii prin instrumente software și resurse tehnice, punând accent pe performanță, securitate și dezvoltarea sistemelor de calcul bazate pe inteligență artificială.
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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.

CNChinaLa sediuStagiuNivel începătorLimbă Obligatorie: englezăInginer full-stackInginer software
PythonPyTorchTensorFlow

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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