Software Engineer III, Flume ML

Company: Google
Location: Sunnyvale
Posted on: April 3, 2026

Job Description:

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Experience with backend and distributed systems. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Experience with Google infrastructure (e.g., MapReduce, Flume, Colossus, Stubby, etc.). Proficiency programming in C++, large scale data processing, systems infrastructure, and system design. Familiarity with large-scale distributed systems or infrastructure. Familiarity with AI/ML or Large Language Models (LLMs). 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 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 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. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $147,000-$211,000 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 . Responsibilities Design, develop, test, deploy, maintain, and enhance software solutions while managing project priorities, deadlines, and deliverables. Collect application/ML model performance traces and analyze for performance optimization opportunities. Produce impact analysis of proposed optimization ideas. Land the optimizations to Flume pipelines specific to large ML workloads. Work with Flume ML's Technical Lead and ML platform teams on integration and roll out of optimizations.

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