Staff Software Engineer, Generative AI, Google Cloud AI

Google is seeking a Staff Software Engineer to join their Cloud AI team, focusing on Generative AI technologies. This is a senior technical leadership position that combines deep expertise in machine learning, particularly in areas like Large Language Models and Multi-Modal systems, with software engineering excellence.

The role offers an opportunity to work at the forefront of AI technology development at one of the world's leading tech companies. You'll be responsible for providing technical leadership on high-impact projects, influencing and coaching distributed engineering teams, and designing large-scale software solutions that will impact billions of users globally.

The position requires a strong foundation in software development with 8+ years of experience, including expertise in data structures/algorithms and a proven track record of launching software products. You'll need significant experience with machine learning algorithms and tools, particularly in Generative AI applications.

What makes this role particularly attractive is the combination of technical challenge and leadership opportunity. You'll be working with cutting-edge AI technologies while having the chance to shape the direction of important projects and mentor other engineers. The compensation package is highly competitive, ranging from $189,000 to $284,000 base salary, plus bonus, equity, and comprehensive benefits.

Google offers an inclusive work environment and the chance to work with some of the brightest minds in the industry. You'll be part of a company that's committed to pushing the boundaries of what's possible with AI while maintaining a strong focus on ethical development and user impact.

The role is based in either Sunnyvale, CA or Kirkland, WA, offering flexibility in location choice. You'll be working in a complex, matrixed organization that provides numerous opportunities for cross-functional collaboration and career growth. This position is ideal for someone who wants to be at the intersection of AI innovation and large-scale software engineering, with the opportunity to make a significant impact on the future of cloud AI technologies.