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Software Engineer, Frontend, Google Flow, Generative AI

GoogleNew York, NY, USA; Mountain View, CA, USA
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA.

Minimum qualifications:

  • Bachelor’s degree in Computer Science, Human-Computer Interaction, or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages (e.g., TypeScript, JavaScript, Kotlin, or Java), or 1 year of experience with an advanced degree.
  • 2 years of experience with front-end and user interface development, specifically with Angular and modern web frameworks.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures or algorithms.
  • Experience in "0-to-1" project environments, rapid prototyping, or navigating ambiguity to ship product updates on a changing schedule.
  • Experience with Generative AI models, video/media editing tools, or creative software.
  • Experience developing accessible technologies.

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.

This role sits at the nexus of Generative AI models, user-centric product design, and the engineering issue of building a vibrant content ecosystem. As a Frontend Software Engineer, you will not just be maintaining code; you will be architecting the new frontend framework, defining best practices for the migration to Modern Angular, and shipping large updates to end-users on a weekly cadence.

Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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

  • Write product or system development code in TypeScript and Modern Angular (Signals) to build novel Generative AI features for image and video creation.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies, specifically focusing on frontend architecture and component reusability.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency) within a shared repository.
  • Contribute to existing documentation or educational content and adapt content based on product/program updates, user feedback, and rapid prototyping cycles.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, GenAI model integration, or service operations and quality.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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