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 to shape the future of ML systems at scale. The position combines advanced software engineering with machine learning expertise, focusing on performance optimization and system architecture.

The role involves working with cutting-edge technologies, including Large Language Models (LLMs) and distributed systems. You'll be responsible for managing performance analysis, integrating AI/ML methods into developer workflows, and driving system reliability at scale. The position requires deep expertise in software development, machine learning, and distributed systems architecture.

Google Cloud's mission is to accelerate digital transformation across industries, delivering enterprise-grade solutions that leverage Google's cutting-edge technology. The role offers competitive compensation, including a base salary range of $189,000-$284,000, plus bonus, equity, and comprehensive benefits.

The ideal candidate will bring 8+ years of software development experience, with particular depth in machine learning, performance optimization, and large-scale systems. You'll work with a team of exceptional engineers, contributing to projects that impact billions of users worldwide. The position offers opportunities to work on complex problems including hardware acceleration, performance bottlenecks, and system architectures, while leveraging Generative AI techniques to transform software development practices.

This is an excellent opportunity for a senior technical leader who wants to make a significant impact on the future of cloud computing and machine learning infrastructure. You'll be at the forefront of innovation, working with the latest technologies while helping to shape the direction of Google's machine learning platforms.