Google Cloud is seeking a Staff Software Engineer to lead sustainability and efficiency initiatives within their Systems Research team. This role represents a unique opportunity to shape the future of green computing at Google and across the industry. The position focuses on addressing critical challenges in reducing carbon emissions and improving energy efficiency for Google's compute infrastructure, particularly in relation to Large Language Models (LLM) and Cloud demands.
The role requires a blend of technical expertise in systems design, data analysis, and sustainability principles. You'll work on developing innovative solutions to optimize Google's computing platforms while minimizing environmental impact. This involves creating new analytics tools, models, and systems to evaluate and implement effective sustainability measures.
As a Staff Software Engineer, you'll collaborate with teams across multiple domains, from hardware to software, to implement solutions that balance performance with environmental responsibility. The position offers the opportunity to work on large-scale systems that directly impact billions of users while contributing to Google's sustainability goals.
The ideal candidate brings strong technical expertise in software development, system architecture, and performance optimization, combined with a passion for sustainability. You'll need to demonstrate leadership in complex system design, data-driven decision making, and cross-functional collaboration. The role offers competitive compensation ($189,000-$284,000 + bonus + equity) and the chance to work with cutting-edge technology while making a meaningful impact on environmental sustainability.
This position is perfect for someone who wants to combine technical leadership with environmental impact, working at the intersection of cloud computing, sustainability, and systems research. You'll be at the forefront of developing solutions that help Google meet its ambitious environmental goals while maintaining its position as a leader in cloud computing and artificial intelligence.