Join Google Cloud as an EDA/CAD Custom Tool Development Engineer to shape the future of AI/ML hardware acceleration. This role focuses on developing cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of an innovative team pushing boundaries in custom silicon solutions, working specifically on TPU architecture and its integration within AI/ML systems.
The position sits within the ML, Systems & Cloud AI (MSCA) organization, which is responsible for designing and managing hardware, software, and infrastructure for all Google services and Google Cloud. You'll contribute to critical infrastructure for chip design, leading complex technical projects from conception to completion, and developing AI/ML-based tools to enhance the chip design process.
Key responsibilities include partnering with Google Deepmind for AI/ML integration in chip design, standardizing methodology across projects, implementing software automation for EDA workflows, and leading internal tool development. You'll work directly with hardware teams to improve Google's chip development process.
The role offers an opportunity to impact products used by billions while working with cutting-edge AI/ML technologies in hardware design. You'll collaborate with world-class teams, lead innovative projects, and contribute to Google's next-generation computing infrastructure. The position requires strong technical expertise in ASIC design, programming skills, and the ability to drive complex projects in a fast-paced environment.