Staff Software Engineer, Agentic BigQuery

Staff Software Engineer, Agentic BigQuery

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 Google Cloud Platform (GCP) Data Analytics. In this role, you will have an understanding of data, AI, and ML to join our mission. If you're ready to grow your career and make a significant impact on the world of technology, we encourage you to apply!

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.

Minimum Qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred Qualifications:

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures/algorithms.
• 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.
• Familiarity with GCP services especially Data Analytics Services and Vertex AI.

About The Job

The US base salary range for this full-time position is $197,000-$291,000 + 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

• Oversee 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.