Senior Staff Software Engineer, Generative AI, Application Ecosystem

Minimum Qualifications

Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development, and with data structures / algorithms.
• 5 years of experience with design and architecture; and testing / launching software products.
• Experience with Machine Learning (ML) algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline.
• Experience in Generative AI (e.g., large language models, multi-modal, large vision models).

Preferred Qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In this role, you will be responsible in building first-party platform that provides shared infrastructure and services that enable customer-facing Google Cloud products to build Large Language Model (LLM) powered products and features (e.

g., Gemini Code Assist and Gemini Cloud Assist).

The US base salary range for this full-time position is $237,000-$337,000 + 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.

Responsibilities

• Set technical strategy for multiple teams building the common platform for all Gemini in Cloud family of products.
• Design and architect technical solutions addressing the common needs of multiple Cloud products, ranging from an individual API to an enablement of large-scale adoption of regulatory requirements across all of Cloud.
• Manage project priorities, deadlines, and deliverables.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
• Provide technical and thought leadership for a number of technical leads and their teams.

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