Senior Software Engineer, Agentic BigQuery

Senior • On-site

$166,000 - $244,000/yr

Kirkland, WA

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 in the following areas: ML, Generative AI concepts, and Google Cloud Platform (GCP) services (especially Data Analytics Services and Vertex AI).

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.
Experience in one or more of the following areas:
Cloud Cost Optimization, BigQuery, Data Analytics
Experience with Python, Notebooks, ML Frameworks (e.g., Tensorflow).
Experience in Machine Learning especially in Generative AI.
Experience in large scale data systems.
Experience in building Gen AI Agents.

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.

Join our team of experts in Generative AI in Analytics AI organization (supporting BigQuery and Looker products) to design next-generation software services that will revolutionize the intersection of data analytics and artificial intelligence. Collaborate with a team of innovators to research, explore, and develop cutting-edge solutions that will bring the power of ML and GenAI to the forefront of GCP Data Analytics.

We are seeking passionate individuals with a deep understanding of data, AI, and ML to join our mission.

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 $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.

Responsibilities

Advise 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

Google LLC started as a PhD project by Larry Page and Sergey Brin in 1998 at Stanford University. Google LLC has blossomed into a behemoth of the tech world. With its mission to organize the world's information and make it universally accessible and useful, Google’s search engine is its crown jewel. Online advertising, via AdWords and AdSense, forms the backbone of its financial success. Beyond search, Google has ventured into cloud computing, hardware, and software development. The innovative PageRank algorithm revolutionized search engine technology, and surviving the dot-com bubble burst and going public in 2004 spurred its meteoric growth. Acquiring YouTube stands as a testament to Google’s strategic expansion.