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Lead Software Engineer, AI Solutions

2 months ago


Sunnyvale, California, United States Google Full time

Minimum qualifications:
Bachelor's degree or equivalent practical experience.

5 years of experience in software development utilizing one or more programming languages, along with a strong understanding of data structures and algorithms. Additionally, 3 years of experience in testing, maintaining, or launching software products, and at least 1 year of experience in software design and architecture.

Proven experience in developing algorithms for ranking, recommendations, predictions, search quality, and personalization, as well as software that generates suggestions based on various input and output targets.

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

3 years of experience in a complex, matrixed organization involving cross-functional and/or cross-business projects. At least 1 year of experience in a technical leadership capacity.

Experience in developing accessible technologies.

About the role: Google's software engineers are at the forefront of developing next-generation technologies that transform how billions of users connect, explore, and interact with information and each other.

Our products are designed to manage information at an immense scale, extending well beyond traditional web search.

We seek engineers who bring innovative ideas from diverse fields, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies; the list is extensive and continually evolving.

As a software engineer, you will focus on a specific project that is critical to Google's objectives, with opportunities to transition between teams and projects as our dynamic business landscape evolves.

We require our engineers to be adaptable, exhibit leadership qualities, and possess a strong enthusiasm for tackling new challenges across the full technology stack as we advance our technological capabilities.

With your technical acumen, you will oversee project priorities, deadlines, and deliverables. You will be responsible for designing, developing, testing, deploying, maintaining, and enhancing software solutions.
Google Cloud empowers organizations to digitally transform their operations and industries. We provide enterprise-grade solutions that leverage Google's state-of-the-art technology and tools, enabling developers to build more sustainably.

Customers in over 200 countries and territories rely on Google Cloud as their trusted partner to foster growth and address their most pressing business challenges.

The US base salary range for this full-time position is $161,000-$239,000 + 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 provide more information 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: Write and test product or system development code.
Participate in or lead design reviews with peers and stakeholders to evaluate available technologies.

Review code developed by other engineers and provide constructive feedback to ensure adherence to best practices (e.g., style guidelines, code accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt materials based on product/program updates and user feedback.

Triage product or system issues and debug/track/resolve them by analyzing the sources of issues and their impact on hardware, network, or service operations and quality.