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Job Details
Posted date: Sep 29, 2025
Location: Seattle, WA
Level: Senior
Estimated salary: $205,000
Range: $166,000 - $244,000
Description
Explore and implement performance and efficiency optimizations for serving the Gemini for Google model family, effectively handling Google's TPU and model serving constraints. Influence the Large Language Model Operations (LLMOps) processes of the team. Influence, design, and drive the implementation of necessary Platform fundamental building blocks, infrastructure extensions and partner-specific customizations necessary to launch features in our partner surfaces and tools. Provide technical leadership necessary for delivering Developer Artificial Intelligence (DevAI) solutions built on the DevAI Platform to our partner teams. Identify partner requirements, defining shared roadmaps, and creating a technical strategy for the platform team to deliver on these roadmaps.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.
We are an Infrastructure and Applied Artificial Intelligence (AI) team that works closely with research, infrastructure, and product teams at the edge of what is technologically possible for models and infrastructure to deliver on our mission.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.
Qualifications
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with ML Infrastructure. Experience engaging with emerging, changing client teams.Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 5 years of experience with data structures/algorithms. Experience with the life-cycle of building products with Machine Learning (e.g., idea, prototype, evaluations, data-driven experimentation, productizing). Experience with serving infrastructure and building scalable distributed systems. Experience in Backend and Application Programming Interface (API) development, including agentic infrastructure. Experience in Java, C++ or Python.
Extended Qualifications
Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with ML Infrastructure. Experience engaging with emerging, changing client teams.Check out other jobs at Google.