Google
Overview
Google is seeking Software Engineers to develop next-generation technologies. This role involves building scalable software across large-scale systems and cloud infrastructure, with opportunities to switch teams and projects as the organization grows. About The Job
Google's software engineers develop technologies that change how billions of users connect, explore, and interact with information. The ML, Systems, & Cloud AI (MSCA) organization designs, implements, and manages hardware, software, machine learning, and systems infrastructure for Google services and Google Cloud. We prioritize security, efficiency, and reliability across our work, including the development of TPUs and the operation of a global network. Our products span Google Cloud’s Vertex AI and Gemini models for enterprise customers. Preferred working locations: Kirkland, WA, USA; Sunnyvale, CA, USA. Responsibilities
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. Note: The compensation details listed reflect base salary only; bonuses, equity, and benefits may apply. Qualifications
Minimum qualifications
Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Preferred qualifications
Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with performance, systems data analysis, visualization tools, or debugging. 2 years of experience with data structures or algorithms in either an academic or industry setting. Experience developing accessible technologies. Proficiency in code and system health, diagnosis and resolution, and software test engineering. Equal Employment Opportunity
Google is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See Google\'s EEO Policy and EEO is the Law. If you require accommodation, please let us know by completing our Accommodations for Applicants form.
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Google is seeking Software Engineers to develop next-generation technologies. This role involves building scalable software across large-scale systems and cloud infrastructure, with opportunities to switch teams and projects as the organization grows. About The Job
Google's software engineers develop technologies that change how billions of users connect, explore, and interact with information. The ML, Systems, & Cloud AI (MSCA) organization designs, implements, and manages hardware, software, machine learning, and systems infrastructure for Google services and Google Cloud. We prioritize security, efficiency, and reliability across our work, including the development of TPUs and the operation of a global network. Our products span Google Cloud’s Vertex AI and Gemini models for enterprise customers. Preferred working locations: Kirkland, WA, USA; Sunnyvale, CA, USA. Responsibilities
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. Note: The compensation details listed reflect base salary only; bonuses, equity, and benefits may apply. Qualifications
Minimum qualifications
Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Preferred qualifications
Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with performance, systems data analysis, visualization tools, or debugging. 2 years of experience with data structures or algorithms in either an academic or industry setting. Experience developing accessible technologies. Proficiency in code and system health, diagnosis and resolution, and software test engineering. Equal Employment Opportunity
Google is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See Google\'s EEO Policy and EEO is the Law. If you require accommodation, please let us know by completing our Accommodations for Applicants form.
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