Google Software Engineer, Google Cloud AI

Job is more than 1 month old.

Job Details

Posted date: Oct 09, 2024

There have been 3 jobs posted with the title of Software Engineer, Google Cloud AI all time at Google.

Location: Kirkland, WA

Level: Mid

Estimated salary: $141,000
Range: $114,000 - $168,000


Description

Write product or system development code.

Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

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

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.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

The US base salary range for this full-time position is $114,000-$168,000 + 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.

1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

1 year of experience with data structures or algorithms.

1 year of experience building and developing infrastructure or distributed systems.

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

Experience developing accessible technologies.

Experience in backend coding languages such as GOLang, Rust, or Java.

Experience in ML model coding languages (e.g., Python).

Extended Qualifications

Bachelor’s degree or equivalent practical experience.

1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

1 year of experience with data structures or algorithms.

1 year of experience building and developing infrastructure or distributed systems.



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