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Senior Software Engineer, Core, AI Enablement

Google
  • San Jose, CA
    30+ days ago

    Job Description

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

    Minimum qualifications:

    • Bachelor’s degree or equivalent practical experience.
    • 5 years of experience with software development in one or more programming languages.
    • 3 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
    • 3 years of experience testing, maintaining, or launching software products.
    • 1 year of experience with software design and architecture.
    • Experience with AI-assisted development tools (e.g., code hosting platform) to accelerate delivery, focusing on system architecture, code review, and product logic.

    Preferred qualifications:

    • Master's degree or PhD in Computer Science, or a related technical field.
    • 5 years of experience with data structures and algorithms.
    • 1 year of experience in a technical leadership role.
    • Experience working with Large Language Modes (LLMs) and designing agentic workflows and multi-agent architectures.
    • Experience building productivity platforms or enterprise software at scale, with a strong intuition for how to elegantly merge Human-Computer Interaction (HCI) with self-supporting AI.

    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.

    Google is running fast toward an AI-native future, and our AI enablement organization is at the epicenter of this shift. Within this broader organization, we act as a highly specialized Engineering Strike team a dedicated group of core software engineers focused purely on accelerating this transition through technology. We don't just consult on AI we build. As a fast-moving, high-impact 0-to-1 squad, we are dedicated to bridging the gap between AI capabilities and practical, daily engineering workflows. We build the internal products, tools, and lighthouse automation platforms that directly empower Googlers to become fundamentally more productive and AI-native, rewriting the rules of how the Google workforce builds and operates.

    The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

    Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefitsLearn more about benefits at Google.

    Responsibilities

    • Lead the technical execution of transitioning experimental, bleeding-edge AI prototypes into scalable, and secure internal products.
    • Take full ownership of complex technical areas within the team. Index extremely high on technical problem-solving to unblock development and translate highly ambiguous concepts into tangible, delivered solutions.
    • Uphold strong engineering standards and write a lot of high-quality code. Collaborate with peers to establish best practices for AI-native software development.
    Google is proud to be an equal opportunity workplace and is 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 also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

    Numbers & Facts

    LocationSan Jose, CA
    IndustryComputer Software
    Company Size10,000 employees or more
    Year Founded1998
    Websitehttps://goo.gle/4dbno6V

    Benefits

    Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria

    About Company

    Build for everyone

    Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

    It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

    So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

    Benefits

    We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

    Learn more about Google’s benefits on this site featuring Googlers’ experience.

    How we Hire

    Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to  build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.

    Learn more about our hiring process.

    Skills

    • Algorithmsunmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Natural Languageunmatched
    • Automationunmatched
    • Best Practicesunmatched
    • C++ Programming Languageunmatched
    • CSS (Cascading Style Sheet)unmatched
    • Code Reviewsunmatched
    • Computer Scienceunmatched
    • Consultingunmatched
    • Data Storageunmatched
    • Data Structuresunmatched
    • Distributed Computingunmatched
    • Editingunmatched
    • Enterprise Applicationsunmatched
    • Equal Employment Opportunity (EEO)unmatched
    • Go Programming Language (Golang)unmatched
    • HTML (HyperText Markup Language)unmatched
    • Human-Computer Interactionunmatched
    • Information Retrievalunmatched
    • Information/Data Security (InfoSec)unmatched
    • Internet Searchunmatched
    • Javaunmatched
    • JavaScriptunmatched
    • Large-Scale Systemsunmatched
    • Leadershipunmatched
    • Microsoft FASTunmatched
    • Natural Language Processing (NLP)unmatched
    • Network Designunmatched
    • Problem Solving Skillsunmatched
    • Product Reviewsunmatched
    • Product/Service Launchunmatched
    • Programming Languagesunmatched
    • Programming Toolsunmatched
    • Prototypingunmatched
    • Python Programming/Scripting Languageunmatched
    • Software Architectureunmatched
    • Software Architecture Designunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • System Architectureunmatched
    • Technical Leadershipunmatched
    • Testingunmatched
    • User Interface Designunmatched
    • User Interface/Experience (UI/UX)unmatched
    • Web Hostingunmatched

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