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HUHuawei Research Center Germany & Austria

PhD Student: Confidential LLM Systems / Confidential Disaggregated Architectures(m/w/x)

München
Full-timeOn-site
AI/ML

Researching confidential LLM computations and disaggregated architectures for data privacy at global ICT solutions provider. MSc in computer science and expertise in security/operating systems required. Healthy meals in company canteen, German and Mandarin language courses.

Requirements

  • MSc degree in computer science or equivalent
  • Proficiency in English
  • Strong teamwork abilities
  • Proven programming skills
  • Expertise in security and operating systems
  • Master in computer science or related disciplines
  • Experience with systems programming using C/C++ or Rust
  • Low-level programming using Assembly
  • Knowledge of operating systems, distributed systems, serverless, and confidential computing technologies
  • Knowledge of TEEs (Intel SGX/TDX, AMD SEV SNP, and ARM CCA)
  • Familiarity with git/gitlab, docker, K8S
  • Fluency in written and spoken English

Tasks

  • Tackle research challenges in system and security
  • Explore confidential Machine Learning and LLMs
  • Investigate confidential disaggregated architectures
  • Develop techniques for confidential LLM computations
  • Address data privacy challenges in untrusted infrastructures
  • Extend security guarantees to disaggregated devices
  • Achieve robust isolation and large-scale attestation
  • Collaborate with international research groups
  • Publish research in top-tier conferences
  • Create research prototypes for industry adoption

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • C/C++
  • Rust
  • Assembly
  • git/gitlab
  • docker
  • K8S

Benefits

Free or Subsidized Food

  • Healthy meals in company canteen

Learning & Development

  • Broad range of training opportunities
  • Language courses in German and Mandarin

Diverse Work

  • Diverse and welcoming environment

Purpose-Driven Work

  • Self-responsible work
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