Staff Software Engineer, Machine Learning Performance, Cloud Platforms

Google is seeking a Staff Software Engineer to join their Machine Learning Performance team within Cloud Platforms. This role represents a unique opportunity at the intersection of software engineering and machine learning, focusing on performance optimization and system architecture. The position requires a seasoned professional with 8 years of software development experience and deep expertise in machine learning, distributed systems, and performance analysis.

The role involves working on critical projects that push the boundaries of technology, particularly in areas such as hardware acceleration, performance optimization, and machine learning systems. You'll be responsible for managing performance analysis, working with Large Language Models (LLMs), and driving new methodologies for improved software engineering productivity. The position offers the chance to work with cutting-edge technologies, including Generative AI, to transform software development practices.

As part of Google Cloud, you'll contribute to solutions that help organizations across 200+ countries digitally transform their businesses. The role offers competitive compensation ($189,000-$284,000) plus bonus, equity, and comprehensive benefits. You'll be part of a team that values technical expertise, leadership, and innovation, working on projects that impact billions of users globally.

The ideal candidate will bring expertise in distributed systems, computer architecture, and machine learning, with the ability to tackle complex problems across the full technology stack. This role offers the opportunity to shape the future of Google's systems while working with some of the most advanced technologies in the industry.