Google Staff Software Engineer, Generative AI, Data Analytics

Job Details

Posted date: Aug 30, 2024

Location: Kirkland, WA

Level: Director

Estimated salary: $236,500
Range: $189,000 - $284,000


Description

Provide technical leadership on projects.

Influence and coach a distributed team of engineers.

Support alignment and clarity across teams on goals, outcomes, and timelines.

Manage project priorities, deadlines, and deliverables.

Design, develop, test, deploy, maintain, and enhance software 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 be responsible for designing and developing next-generation software systems at the intersection of data analytics (e.g., data warehousing, business intelligence, spark, dataflow, data catalog) and Generative AI. You will work with the team of experts to research, explore, and develop innovative solutions that will bring Generative AI to the forefront of Google Cloud Platform (GCP) data analytics for customers.

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 $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.

8 years of experience in software development, and with data structures/algorithms.

5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

4 years or more of experience with AI/ML algorithms and tools, deep learning or natural language processing.

Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

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.



Extended Qualifications

Bachelor's degree or equivalent practical experience.

8 years of experience in software development, and with data structures/algorithms.

5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

4 years or more of experience with AI/ML algorithms and tools, deep learning or natural language processing.



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