Silicon IP RTL Design Engineer, Google Cloud

Google Cloud is seeking a Silicon IP RTL Design Engineer to join their team developing Application-specific integrated circuits (ASICs) for machine learning acceleration in data centers. This role is part of the ML, Systems, & Cloud AI (MSCA) organization, which is responsible for the hardware and software infrastructure powering Google's services and Cloud platform.

The position involves collaborating with cross-functional teams including architecture, verification, power and performance, and physical design to deliver next-generation data center accelerators. The successful candidate will solve complex technical problems related to micro-architecture and evaluate design options considering performance and power requirements.

As part of Google's custom hardware initiative, you'll be working on one of the largest and most powerful computing infrastructures globally. The role combines hardware design expertise with the opportunity to impact Google's machine learning and cloud computing capabilities. You'll be involved in the full development cycle from specification to delivery of high-performance ASIC designs.

The position offers the opportunity to work with cutting-edge technology in machine learning acceleration, contribute to Google's infrastructure, and be part of a team shaping the future of hyperscale computing. The role is based in Bengaluru and requires strong technical skills in ASIC development, verification, and system architecture.

This is an excellent opportunity for experienced hardware engineers looking to work on innovative projects with significant impact, as these systems power everything from Google Search and YouTube to Google Cloud's Vertex AI platform, which brings Gemini models to enterprise customers.