Google has 584 active AI-related job listings. The majority of these roles are focused on agents, representing 40% of the total, and serving infrastructure, at 26%. The most frequent technical tags include model_serving, agent_orchestration, and evals. Over the last 30 days, Google has added 413 new AI roles, a 105% increase compared to the preceding 30-day period.
Currently tracking 514 active AI roles, with 1186 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google currently has 607 active AI-related roles in our index. The most common open titles are: Software Engineer (4), AI Adoption Customer Engineer, Google Cloud (3), Senior Software Engineer (3), AI Outcome Customer Engineer, Cloud AI Tech GTM (2), Conversational AI Consultant (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (26%), application (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Google is hiring AI talent in: United States (388 roles), India (50 roles), Singapore (43 roles), Poland (23 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 605 new AI-related roles. That is a +29% change versus the prior 30 days (469 → 605).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer, Embedded Systems/Firmware, Platforms Infrastructure Engineering Senior Software Engineer role focused on embedded systems and firmware within Google's Platforms Infrastructure Engineering team. The role involves developing next-generation technologies, working on large-scale systems, and contributing to software solutions that support AI and infrastructure at Google. Responsibilities include writing and testing code, code reviews, debugging, and participating in design reviews. Requires experience in low-level systems programming, embedded operating systems, and software design/architecture. | — | 0 |
| Software Engineer III, Infrastructure, Google Cloud Platforms Software Engineer III role focused on infrastructure development for Google Cloud Platforms, involving coding, design reviews, code reviews, documentation, and issue triaging. Requires experience in C++ or Go and large-scale infrastructure or distributed systems. | — | 0 |
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| 0 |
| Software Engineering Manager (For Women in Tech Candidates) Manage a team of software engineers, lead project planning and execution, and contribute to product strategy within a large technology company. The role involves technical leadership, team development, and overseeing the deployment of large-scale projects. | — | 0 |
| Software Engineer (For Women in Tech Candidates) Software Engineer role at Google focusing on developing next-generation technologies that impact billions of users. The role involves working on various aspects of software development, including information retrieval, distributed computing, large-scale systems, AI, NLP, UI design, and mobile. Candidates are expected to provide technical leadership and team development, with a minimum of 5 years of software development experience and 3 years of experience in testing, maintaining, or launching software products. | — | 0 |
| Software Engineer III, Infrastructure, Google TV Software Engineer III, Infrastructure for Google TV, focusing on developing and enhancing large-scale infrastructure, distributed systems, and networks for a personalized TV experience. The role involves coding, design reviews, code reviews, documentation, and issue triaging. Experience with AI/ML is mentioned as a potential area of contribution but not the core focus of the role. | — | 0 |
| Early Career Software Engineer, People with Disabilities Software Engineer role at Google, focusing on developing next-generation technologies across various domains including AI/NLP, distributed computing, and system design. Requires a Bachelor's degree and 1 year of software development experience. Machine learning experience is preferred. | — | 0 |
| Software Engineering Manager, People with Disabilities Software Engineering Manager role at Google, focused on leading teams and projects within various technical domains including AI and NLP, but the core of the role is management and technical leadership, not direct AI/ML development. | — | 0 |
| Software Engineer, People with Disabilities Software Engineer role at Google focusing on developing next-generation technologies. Requires experience in software development, data structures, algorithms, and software design/architecture. The role involves technical leadership and team development, with opportunities to work on various projects across the full stack. | — | 0 |
| Tech Lead, Software Engineering, People with Disabilities Software Engineer role at Google, focusing on developing and improving software applications, managing priorities, and collaborating on scalability. The role involves full-stack development and requires experience in software design, architecture, and launching products. Preferred qualifications include technical leadership and experience with large-scale distributed systems, APIs, Search Ranking systems, or ML systems. | — | 0 |
