Staff Software Engineer, Machine Learning Performance, Cloud Platforms

Google is seeking a Staff Software Engineer specializing in Machine Learning Performance for their Cloud Platforms team. This role represents a unique opportunity to shape the future of Google's ML infrastructure and cloud services. The position combines advanced software engineering with cutting-edge machine learning expertise, focusing on performance optimization and large-scale distributed systems.

The role requires a seasoned professional with 8 years of software development experience and deep expertise in machine learning, particularly in performance optimization and large-scale systems. You'll be working on critical projects that impact billions of users, managing everything from performance analysis to ML compiler experiences. The position involves working with state-of-the-art technologies, including Large Language Models (LLMs) and transformer architectures.

As a Staff Software Engineer, you'll be part of Google Cloud, which serves customers in over 200 countries, helping organizations digitally transform their businesses. You'll have the opportunity to work with cutting-edge technology and contribute to solving complex problems in hardware acceleration, system architecture, and machine learning optimization. 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 expertise in distributed systems, computer architecture, and machine learning, with the ability to lead technical initiatives and drive innovation. You'll be working in Sunnyvale, CA, collaborating with world-class engineers and researchers to push the boundaries of what's possible in cloud computing and machine learning performance optimization.

This position offers the chance to work on transformative projects, leveraging Generative AI techniques to revolutionize software development and performance optimization across the industry. You'll be at the forefront of developing solutions that impact Google's next-generation technologies, making this an exceptional opportunity for someone looking to make a significant impact in the field of machine learning and cloud computing.