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Researcher - Agentic Algorithms and Architectures

Job in Zürich, 8081, Zurich, Kanton Zürich, Switzerland
Listing for: Huawei
Full Time position
Listed on 2026-10-11
Job specializations:
  • Research/Development
    AI Business & Operations, Data Scientist
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, Data Scientist
Salary/Wage Range or Industry Benchmark: 110000 - 170000 CHF Yearly CHF 110000.00 170000.00 YEAR
Job Description & How to Apply Below
Location: Zürich

Location: Zurich, Switzerland

Job Type: Contractor

Openings: 3 positions

About Us: At Huawei Technologies Switzerland AG, we are a leading technology firm dedicated to developing cutting‑edge solutions that redefine industry standards and push technological boundaries. Our core focus is on creating advanced computing architectures that can efficiently support and enhance the performance of artificial intelligence systems. We believe in innovation as a driving force for improvement and are committed to achieving excellence in all areas of research and development.

Job Summary

We are seeking three talented Researchers to join our Zurich team, working on the frontier of extreme‑scale agentic computing. In this role, you will contribute to fundamental and applied research in agentic algorithms, modelling, and architectures. You will design novel algorithms, build analytical and simulation frameworks, and explore emerging hardware technologies to enable next‑generation AI systems. This is an exciting opportunity to shape the future of agentic AI through impactful research, collaboration, and innovation.

Key Responsibilities
  • Research & Innovation: Conduct fundamental and applied research on algorithms, modelling, and architectures for extreme‑scale agentic AI systems, identifying new opportunities and breakthrough directions
  • Algorithm Design: Develop novel algorithmic solutions for agentic AI, including collective communications, synchronization protocols, and static/dynamic resource scheduling strategies
  • Modelling & Simulation: Build cost models, theoretical frameworks, and simulation tools to analyze agentic workloads, evaluate architecture tradeoffs, and identify performance bottlenecks
  • Architecture Exploration: Investigate new modular interconnects, network topologies, and emerging technologies (e.g., near-packaged optics, No

    Cs, chip I/O, 3D stacking, folding) tailored for agentic computing workloads
  • Design Space Analysis: Perform systematic agentic design space exploration to identify optimal combinations of algorithms, architectures, and resource configurations
  • Prototyping & Validation: Implement prototypes and conduct experiments to validate research findings, bridging the gap between theory and practice
  • Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and product teams, to integrate research outcomes into practical systems
  • Publication & Knowledge Sharing: Publish high-quality research papers in top-tier academic conferences and journals; present findings at internal and external forums
  • Technology Monitoring: Stay abreast of the latest advances in AI, agentic computing, system architectures, and related fields to ensure our research remains at the cutting edge
Requirements

Candidates should have a strong interest in at least one of the following research areas:

  • Algorithms
  • Algorithmic Elements of Agentic AI
  • Collective Communications and Synchronization
  • Static and Dynamic Resource Scheduling
  • Modelling
  • New Cost Models and Theory for Agentic Workloads
  • Bottlenecks and Tradeoffs in Agentic Architectures and Algorithms
  • Architecture Modelling and Simulation
  • Architectures
  • New Modular Interconnects and Topologies for Extreme-Scale Agentic AI
  • New Technologies:
    Near-Packaged Optics, No

    Cs, Chip I/O, 3D Stacking, Folding
  • Agentic Design Space Exploration
Qualifications
  • Master's degree or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field;
    PhD preferred
  • Strong interest in at least one of the research areas listed above
  • Experience with AI / agentic workloads is a plus
What We Offer
  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • Be part of innovative projects that make a difference.
  • Access to state-of-the-art technology and tools.
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