Software Engineer, Frontend, Google Flow, Generative AI

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.

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.