Realize the potential of silicon engineering

Overview

Infosys Semiconductor practice provides end-to-end product engineering services, from conceptualization, design and certification to production and post-silicon support, for chipsets, boards, microcontrollers, and embedded systems. Infosys Cobalt, our cloud platform, ensures data resilience and robust data governance for product engineering in a multi-cloud environment.

The cloud enables unified engineering data management to facilitate creation and management of component libraries, and ensure data quality and integrity across product development. Significantly, a unified source for data eliminates engineering errors, accelerates tapeout of custom IP, and streamlines generation of bill of materials.

Our AI-driven product engineering approach complements our physical design services for in-house and third-party IP across advanced as well as mature process nodes. We address diverse performance, power and area (PPA) and functional requirements of FPGA, ASIC and SoC designs. Our product engineering services ensure cost-effectiveness and manufacturing compatibility, while achieving outcomes especially in silicon customization, be it for high performance computing, automotive, telecommunications, healthcare, or consumer electronics.

Infosys applies machine learning-led engineering techniques, simulation and what-if analysis to achieve design goals: optimize speed of CPUs, reduce energy consumption of GPUs and SoCs, minimize the size of memory chips, and ensure chip reliability. Further, we adopt a ‘factory model’ to save time and effort, and enhance scalability, productivity and engineering efficiency. Automated tools for arranging transistors and interconnections accelerate the design and engineering phases, while rationalizing the cost of configurable and programmable circuits.