In the era of AI-driven workloads, the demand for rapid and efficient data movement has intensified. High-speed interfaces like PCI Express and Ethernet are pivotal in supporting the massive data throughput required by AI applications, ensuring that data is transferred swiftly, efficiently, and reliably across system components. As an example, Synopsys’s PCIe 6.0 IP operates at 64 GT/s, enabling real-time, low-latency, and high-throughput connectivity for high-performance computing, storage, AI systems, and automotive SoCs. Likewise, its Ethernet PHY technologies drive communication speeds into the terabit range, underscoring Ethernet’s vital role in today’s connected world.

Since 2021, Ms. Zargham has been an analog/mixed-signal designer in Synopsys’s Interface IP group, where she works on high-speed interfaces such as PCI Express and advanced Ethernet. As an analog designer, Ms. Zargham and her team develop physical-layer (PHY) circuits that enable high-speed, low-power, and robust data transmission. Their work supports Synopsys’s delivery of silicon-proven IP solutions that address the growing demands for bandwidth, energy efficiency, and dependable connectivity in next-generation computing systems.