NOC/Chiplet Design Researcher - Switzerland

In this job opening, we are seeking a highly motivated and visionary researcher to join our team focused on chiplet-based computing systems. This role involves research and development in chiplet-based architectures, aiming to overcome performance and scalability limits of traditional compute platforms.

Responsibilities:

• Conduct cutting-edge research to design chiplet-based systems, with a focus on enabling high-bandwidth and low-latency interconnects across chiplets.
• Investigate various aspects of system design, including:
  • Topology exploration, routing algorithms, protocol and flow control design
  • Chiplet placement and interposer design strategies
  • Fault tolerance and redundancy for yield and reliability
  • Programming models and compiler/runtime support
• Prototype and evaluate new architectural innovations, including NoC (Network-on-Chip) enhancements and memory hierarchy design.
• Contribute to long-term research strategy through technical leadership, white papers, and vision documents.
• Publish high-quality research in top-tier conferences and journals (e.g., ISCA, MICRO, HPCA, ASPLOS, etc.).

Requirements:

• PhD in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field.
• Strong background in interconnection networks and computer architecture is a must.
• Demonstrated research expertise in one or more of the following areas:
  • Network-on-Chip (NoC) architecture, including routing, flow control, topologies, and performance modeling
  • Packaging technologies (e.g., 2.5D/3D integration, silicon interposers)
  • Programming models and hardware/software interfaces (e.g., load/store, message-passing, RDMA, shared memory models)
  • System-level modeling and simulation (e.g., cycle-accurate simulators)
• Proven publication record in relevant peer-reviewed venues.
• Excellent analytical, problem-solving, and system-level thinking skills.
• Strong verbal and written communication skills, and the ability to work both independently and collaboratively in a cross-disciplinary team.