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December 5, 2025

Staff Software Engineer, Core Labs, AI/ML

Senior • On-site

$197,000 - $291,000/yr

New York, NY , +1


Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience with full-stack software development with front-end (TypeScript) and server technologies (Kotlin and Python) and agent frameworks (DK, MCP, A2A).
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In this role, you will get to explore generative AI and explore its application to many different domains and use cases. You will be investing in Gemini driven UI and decoupling agents from surfaces. You will influence, pitch, design and land full-stack AI-first applications in greenfield projects.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.

The US base salary range for this full-time position is $197,000-$291,000 + 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

  • Influence, prioritize and execute on the roadmap to deliver AI-first experiences that realize the technical goal.
  • Balance the need to deliver bespoke, short-term end-to-end prototypes with the long-term strategy for generalizing them into AI-first experiences.
  • Collaborate cross-functionally with UX, PM, TPgM teams, and cross-team with Google Deepmind to understand existing pain points, and propose solutions and improvements.
  • Participate in and lead architecture and engineering designs with peers and stakeholders, and exercise technical judgment (e.g., make "build vs buy" decisions given available technologies and problem spaces).
  • Review code, design documents, and provide feedback to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency).