Staff Software Engineer, AI Data Evaluation Platform

At Google, our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information. Our products process vast amounts of information and extend beyond web search. We are looking for engineers who can bring innovative ideas from diverse areas, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technology. As a software engineer, you will work on specific projects that are critical to our needs, with opportunities to switch teams and expand your skills as our fast-paced business evolves. We value versatility, leadership, and enthusiasm in tackling new challenges across the full stack. In our Evaluation Platform team in AI Data, you will play a key role in accelerating Google’s AI development through evaluation tools and infrastructure for LLM models and AI agents. This includes managing our Everest core platform, which handles over 100,000 evaluations weekly for more than 100 customer teams. The ML, Systems, & Cloud AI (MSCA) organization designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services and Google Cloud. We prioritize security, efficiency, and reliability in everything we do, from developing our latest TPUs to running a global network, shaping the future of hyperscale computing. Google is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.