NoC Design Lead

NoC Design Lead (×2 openings)

• Architect and implement the 4-plane stacked NoC delivering 12 TB/s cross-section bandwidth across all on-chip and off-chip endpoints.
• Define topology, routing algorithms, virtual channels, and arbitration to guarantee deadlock-free, high-throughput data movement.
• Design QoS and bandwidth-allocation mechanisms balancing traffic between dual BFOS arrays, 512 SRAM banks, HBM controllers, UCIe, and host.
• Own the on-chip coherency protocol and its interaction with SRAM, HBM, and the host-interface coherency layer.
• Drive micro-architecture, RTL, and integration of routers, network interfaces, buffers, and clock-domain crossings.
• Model and analyze latency, bandwidth, and congestion via cycle-accurate simulation and traffic generators; close performance targets.
• Collaborate with PD on floorplan-aware NoC partitioning across the 4 physical planes and with DFT/verification on coverage.
• Define QoR/performance metrics, mentor engineers, and represent NoC in architecture and integration reviews.

• 10+ years designing on-chip interconnects/NoCs or coherent fabrics for high-performance SoCs.
• Deep understanding of NoC topologies (mesh, torus, crossbar, stacked/multi-plane), routing, flow control, and QoS.
• Strong grasp of cache-coherency protocols (MESI/MOESI-class, directory-based) and memory-consistency models.
• Expertise in RTL design (SystemVerilog) of routers, arbiters, buffers, and asynchronous/CDC interfaces.
• Hands-on performance modeling and analysis — cycle-accurate simulation, traffic modeling, bandwidth/latency closure.
• Experience with commercial or in-house NoC generators/IP and their integration methodology.
• Familiarity with high-bandwidth memory (HBM) and chiplet interconnect (UCIe) traffic characteristics.
• Proficiency in scripting (Python/Perl) for performance analysis and verification support.
• Strong micro-architecture, specification, and documentation skills.
• Demonstrated technical leadership and cross-team collaboration.

• Experience with multi-plane or 3D-stacked NoC architectures.
• Background in AI accelerator or GPU dataflow interconnects.
• Familiarity with formal verification of coherency/deadlock properties.
• M.Tech/MS in EE/ECE/CS or equivalent.