Huawei Nederland
CBG AI Standardization and Industry Development Engineer
Huawei NederlandBelgium3 days ago
Full-timeOther
Position: CBG AI Standardization and Industry Development Engineer

Location:EU-SID CBG Dept, and be at Huawei Amsterdam Research Center

Job Overview:

We are looking for an AI Standards & Industry Development Engineer to join the CBG Standards & Industry Development Department in Europe. The role focuses on artificial intelligence related regulations, standardization, industrial and technological trends, aiming to support Huawei CBG’s ecosystem building in AI-driven products and services.

Main Responsibilities:

  • Standardization: Represent Huawei CBG in major European and international AI standardization bodies and industry alliances (e.g., ISO/IEC/ITU, CEN-CENELEC, ETSI, IEEE, and AI-focused consortia in Europe).
  • Policy and Regulation: Continuously monitor EU and global AI regulations and standards development (EU AI Act, data governance, privacy frameworks, cybersecurity, ethics) and provide compliance/impact analyses.
  • Technical Insights: Identify and evaluate AI-related core enabling technologies, including machine learning frameworks, foundation models, edge AI, and trustworthy AI mechanisms, to support CBG’s product roadmaps.
  • Industry and Ecosystem Collaboration: Build and manage relationships with European partners, research institutions, and start-ups to promote AI application pilots for consumer products and services.
  • Business Strategy: Work closely with CBG European and HQ departments for strategy alignment, internal reporting, and external presentations, increasing CBG business impacts in Europe.
  • Event Support: Support EU-SID CBG events, summits, and workshops on AI-related events, for ecosystem development.


Competency Requirements:

  • Educational Background: Master’s degree or PhD in AI, Computer Science, Data Science, or related fields.
  • Standardization and Regulation: Familiar with EU and international AI standards, regulatory frameworks, European policies, and certification schemes.
  • Technical Competence: Profound understanding of AI model development, deployment, and lifecycle management, have good experience with mainstream LLMs and AI protocols (such as MCP, A2A, etc).
  • Insights: Ability to produce high-quality insight reports on AI and relevant technologies, as well as being able to analyze policies, and market trends, and being good as presentation.
  • Communication Skills: Strong internal and external communication skills; comfortable working in multicultural and cross-functional teams.
  • Language Skills: English is working language (both spoken and written), and proficiency in Chinese language is preferred.

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