Job description

The US base salary range for this full-time position is $207,000 - $301,000 + 20% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google . Position reports to the Google New York, NY office & may allow for a hybrid schedule as per Google policy. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. • Influence and coach a distributed team of engineers while facilitating alignment on goals, outcomes, and timelines. • Develop and evolve mid-term technical visions and roadmaps to meet future requirements and infrastructure needs. • Design, develop, and deploy large-scale software solutions to solve ambiguous problems and enhance system capabilities. • Guide system architecture by clarifying complex problems, assessing trade-offs, and vetting designs for cohesion and scalability. • Drive engineering excellence through comprehensive testing, rigorous code reviews, and the implementation of best practices. Manage project lifecycles from planning to production monitoring including stakeholder engagement and issue resolution. • Bachelor’s degree in Computer Science, Software Engineering, Engineering Management or a related field and 7 years of progressive post-baccalaureate experience in the job offered or in a Software Engineering-related occupation. • Alternatively, will accept a Master’s degree in Computer Science, Software Engineering, Engineering Management or a related field, and 5 years of experience in the job offered or in a Software Engineering-related occupation. • Position requires 5 years of experience in the following: LLM and Machine learning; Programming in C++, Java, Python, Kotlin, or Go to design and maintain software applications; Algorithm design and selection to improve system scale and efficiency or Data structure selection for optimizing system reliability and speed; System debugging and root cause analysis for code and firmware issues; and, Systems architecture design for optimal testability and resource configuration. Minimum qualifications: • Bachelor’s degree in Computer Science, Software Engineering, Engineering Management or a related field and 7 years of progressive post-baccalaureate experience in the job offered or in a Software Engineering-related occupation. • Alternatively, will accept a Master’s degree in Computer Science, Software Engineering, Engineering Management or a related field, and 5 years of experience in the job offered or in a Software Engineering-related occupation. • Position requires 5 years of experience in the following: LLM and Machine learning; Programming in C++, Java, Python, Kotlin, or Go to design and maintain software applications; Algorithm design and selection to improve system scale and efficiency or Data structure selection for optimizing system reliability and speed; System debugging and root cause analysis for code and firmware issues; and, Systems architecture design for optimal testability and resource configuration.

Requirements

Must-haves

Position reports to the Google New York, NY office & may allow for a hybrid schedule as per Google policy.
Influence and coach a distributed team of engineers while facilitating alignment on goals, outcomes, and timelines.
Develop and evolve mid-term technical visions and roadmaps to meet future requirements and infrastructure needs.
Design, develop, and deploy large-scale software solutions to solve ambiguous problems and enhance system capabilities.
Guide system architecture by clarifying complex problems, assessing trade-offs, and vetting designs for cohesion and scalability.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

llmmachine learningjavapythonkotlingo

Platform: google
Effort: medium

Benefits

Benefits detected in the listing.

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