Google Cloud is seeking a Staff Software Engineer for their Gemini Cloud Assist Troubleshooting team. This role is part of Google Cloud Platform (GCP) Networking, focusing on building AI-assisted troubleshooting solutions. The ideal candidate will have extensive experience in software development, machine learning, and artificial intelligence, particularly in Generative AI.
As a Staff Software Engineer, you'll be responsible for developing next-generation technologies that impact billions of users. You'll work on critical projects for Google Cloud, with opportunities to switch teams and projects as the business evolves. The role requires versatility, leadership qualities, and enthusiasm for tackling new problems across the full-stack.
Key responsibilities include working as an AI SWE and leader, collaborating with various teams to drive insights and data-driven decision making, performing end-to-end analysis of support and playbook data, and cultivating strong partnerships across different functions.
The ideal candidate will have a Bachelor's degree (Master's or PhD preferred), 8+ years of software development experience, and strong expertise in machine learning and AI. Experience with tools like TensorFlow and in areas such as language models and multi-modal systems is crucial.
Join Google Cloud and be part of a team that's shaping the future of cloud technology and AI-assisted troubleshooting. This role offers the opportunity to work on cutting-edge technologies and make a significant impact on how businesses leverage Google Cloud Platform.