Researcher - Agentic Algorithms and Architectures

ppbLocation: /b Zurich, Switzerland /p pbJob Type: /b Contractor /p pbOpenings: /b 3 positions /p pbAbout Us: /b 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. /p h3Job Summary /h3 pWe 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. /p h3Key Responsibilities /h3 ul libResearch Innovation: /b Conduct fundamental and applied research on algorithms, modelling, and architectures for extreme‑scale agentic AI systems, identifying new opportunities and breakthrough directions /li libAlgorithm Design: /b Develop novel algorithmic solutions for agentic AI, including collective communications, synchronization protocols, and static/dynamic resource scheduling strategies /li libModelling Simulation: /b Build cost models, theoretical frameworks, and simulation tools to analyze agentic workloads, evaluate architecture tradeoffs, and identify performance bottlenecks /li libArchitecture Exploration: /b Investigate new modular interconnects, network topologies, and emerging technologies (e.g., near-packaged optics, NoCs, chip I/O, 3D stacking, folding) tailored for agentic computing workloads /li libDesign Space Analysis: /b Perform systematic agentic design space exploration to identify optimal combinations of algorithms, architectures, and resource configurations /li libPrototyping Validation: /b Implement prototypes and conduct experiments to validate research findings, bridging the gap between theory and practice /li libCollaboration: /b Work closely with cross-functional teams, including hardware engineers, software developers, and product teams, to integrate research outcomes into practical systems /li libPublication Knowledge Sharing: /b Publish high-quality research papers in top-tier academic conferences and journals; present findings at internal and external forums /li libTechnology Monitoring: /b Stay abreast of the latest advances in AI, agentic computing, system architectures, and related fields to ensure our research remains at the cutting edge /li /ul h3Requirements /h3 pCandidates should have a strong interest in at least one of the following research areas: /p ul liAlgorithms /li liAlgorithmic Elements of Agentic AI /li liCollective Communications and Synchronization /li liStatic and Dynamic Resource Scheduling /li liModelling /li liNew Cost Models and Theory for Agentic Workloads /li liBottlenecks and Tradeoffs in Agentic Architectures and Algorithms /li liArchitecture Modelling and Simulation /li liArchitectures /li liNew Modular Interconnects and Topologies for Extreme-Scale Agentic AI /li liNew Technologies: Near-Packaged Optics, NoCs, Chip I/O, 3D Stacking, Folding /li liAgentic Design Space Exploration /li /ul h3Qualifications /h3 ul liMaster's degree or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field; PhD preferred /li liStrong interest in at least one of the research areas listed above /li liExperience with AI / agentic workloads is a plus /li /ul h3What We Offer /h3 ul liCompetitive salary and benefits package. /li liOpportunities for professional growth and development. /li liBe part of innovative projects that make a difference. /li liAccess to state-of-the-art technology and tools. /li /ul /p #J-18808-Ljbffr