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 498 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google currently has 586 active AI-related roles in our index. The most common open titles are: Software Engineer (5), AI Adoption Customer Engineer, Google Cloud (3), Conversational AI Consultant (2), Engineering Manager, Egregious Abuse Protection (2), Forward Deployed Engineer III, Generative AI, Google Cloud (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (25%), application (19%). 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 (376 roles), India (53 roles), Singapore (40 roles), Switzerland (20 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 571 new AI-related roles. That is a +22% change versus the prior 30 days (469 → 571).
| Title | Stage | AI score |
|---|---|---|
| Software Engineer III, Kotlin, Compiler Software Engineer III role at Google, focusing on Kotlin and compiler development within the Platforms and Devices team. The role involves writing product/system development code, participating in design reviews, code reviews, contributing to documentation, and triaging/debugging issues. It requires a Bachelor's degree or equivalent experience, with preferred qualifications including a Master's/PhD, experience with data structures/algorithms, and developing accessible technologies. The role is part of a team that integrates Google AI, software, and hardware to create seamless user interactions. | — | 0 |
| Senior Software Engineer, Dart on WebAssembly Senior Software Engineer role focused on the Dart programming language and its WebAssembly compiler toolchain, contributing to high-performance, multi-platform applications and agentic experiences. The role involves working with Dart and Flutter, which power internal Google applications like Google Ads, NotebookLM, and Gemini. | — |
| 0 |
| Senior Software Engineer, Dart on WebAssembly Senior Software Engineer role focused on the Dart programming language and its compiler toolchain, specifically targeting WebAssembly. The role involves contributing to the Dart SDK implementation, driving performance and quality improvements, and working with Flutter for multi-platform application development. While AI/ML is mentioned generally in the intro, the core responsibilities and qualifications are centered on programming language development and compiler engineering, not AI model development or deployment. | — | 0 |
| Software Engineering Manager, Dart Software Engineering Manager at Google, leading teams in areas like AI, NLP, and large-scale systems. Responsibilities include setting team priorities, developing roadmaps, guiding system designs, and managing engineers. Requires significant software development and technical leadership experience. | — | 0 |