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Job Details
Posted date: Mar 26, 2026
Location: Kirkland, WA
Level: Senior
Estimated salary: $213,000
Range: $174,000 - $252,000
Description
Lead the design and development of large-scale software services that revolutionize data analytics, with a focus on Machine Learning and Generative AI applications. Collaborate closely with technical leads to launch innovative solutions leveraging the power of Large Language Models, Agents and other advanced AI techniques. Navigate unexplored areas by prototyping and researching solutions for groundbreaking ML projects in BigQuery. Engage with product managers and customers to decipher requirements and translate them into actionable technical specifications, while identifying opportunities to integrate ML and Generative AI solutions.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.
In this role, you will join the Analytics Artificial Intelligence (AI) organization (supporting BigQuery and Looker products) to design software services for data analytics and AI. You will collaborate with a team to research, explore, and develop solutions that use Machine Learning (ML) and Generative AI for Google Cloud Data Analytics.
You will join our team of experts in Generative AI, BigQuery, and ML and design the future of data analytics.
You will have a deep understanding of data, AI, and ML to manage a high performing team.
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 $174,000-$252,000 + 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. Experience with Python and Java. Experience with ML and Generative AI concepts. Experience with GCP services, including Data Analytics and Vertex AI.
Preferred qualifications: Master's degree or PhD in Computer Science or related technical field.
Experience in Machine Learning especially in generative AI. Experience in large-scale data systems. Experience in building Gen AI Agents. Experience with Data Analytics, BigQuery.
Extended Qualifications
Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages. Experience with Python and Java. Experience with ML and Generative AI concepts. Experience with GCP services, including Data Analytics and Vertex AI.