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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

21Open Positions

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Intern – DC Hardware Research

Huawei Austria
Found 3 days ago
Location
Munich, Germany
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
3 days ago

Education

  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • Data Communication Hardware
  • High-speed link
  • chip cooling
  • power supply
  • programmable chip technologies
  • AI tools
  • AI Agents
  • RAG
  • automated workflows/retrieval systems
  • LangChain
  • LlamaIndex
  • AutoGen
  • OpenAI Agents SDK
  • Dify
  • Flowise
  • prompt engineering
  • tool calling
  • evaluation
  • agent debugging
  • technical insights
  • competitive analysis
  • industry research
  • patent/literature search
  • web parsing
  • search interfaces
  • data extraction
  • knowledge base construction
  • semiconductors
  • optical communications
  • AI Infra
  • cloud computing
  • advanced manufacturing

Soft Skills

  • team spirit
  • exchange of knowledge and experience
  • innovative power

Job Description

Join us as a Intern – DC Hardware Research (m/f/d) Your mission * Learn and analyze the current industry status and future trend of Data Communication Hardware for data center applications * Review and summarize the state-of-the-art in academic conferences, standard organizations, and industry alliances * Explore High-speed link, chip cooling, power supply, programmable chip technologies to enable low-latency, high-reliability and low-power datacenter communication * Use AI tools to complete the above tasks

Requirements

  • Current Master's or PhD student in Computer Science, EEE, IT, or a related field
  • Has experience in building AI Agents, RAG, and automated workflows/retrieval systems
  • Has used any of the frameworks such as LangChain, LlamaIndex, AutoGen, OpenAI Agents SDK, Dify, or Flowise
  • Has experience in prompt engineering, tool calling, evaluation, and agent debugging
  • Has experience in technical insights, competitive analysis, industry research, and patent/literature search
  • Familiar with web parsing, search interfaces, data extraction, and knowledge base construction
  • Has an interest in or foundational knowledge of technology sectors: semiconductors, optical communications, AI Infra, cloud computing, and advanced manufacturing
  • Can convert unstructured information into tables, tag systems, knowledge entries, or a traceable lead pool

Related Field

  • Hardware Engineering

Related Subfield

  • Computer Hardware Engineering

Languages

  • English
  • Chinese

Nice to Haves

  • Self-responsible work
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