Staff Software Engineer, AI Infrastructure, Google Home

Minimum qualifications:Bachelor's degree or equivalent practical experience.8 years of experience in software development, and with data structures/algorithms.5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.Experience building Large Language Model (LLM) or Machine Learning (ML) Infrastructure, and working with Generative AI/ML technologies or similar.Preferred qualifications:Master’s degree or PhD in Engineering, Computer Science, or a related technical field.8 years of experience building and developing infrastructure or distributed systems.5 years of experience programming in Java.3 years of experience in a technical leadership role leading project teams and setting technical direction.3 years of experience working in an organization involving cross-functional or cross-business projects. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.The Google Home team focuses on hardware, software, and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develop new technologies and hardware to make users’ homes more helpful.Google Home's Large Language Model (LLM) and Machine Learning (ML) serving platform focuses on expediting and scaling the development and launch of Generative AI applications in the Home by providing a platform that is plug-and-play for fine-tuned models. Its capabilities include serving Generative AI applications, standardized access to Home data and services, security, privacy, safety, and model feedback for training. In this role, you will partner with Intelligence teams to launch Generative AI applications to Google Home users, and be a part of future innovation.The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Lead and set technical direction for a team to build Google Home's Generative AI Infrastructure.Partner with Google Home Intelligence teams to plan short-term and long-term investments for Generative AI Infrastructure, making appropriate trade-offs based on business needs.Build partnerships with Intelligence leads, and interface with Product, Program, Area Tech Leads, to produce coherent architectures.Focus on platform reliability, scalability and operability, and follow production principles in maintaining customer-facing production systems.Influence, mentor, and coach a distributed team of engineers, and provide technical leadership on high-impact projects.