Currently tracking 498 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
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.
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 |
|---|---|---|
| Ads Solutions Engineer This role is for a Solutions Engineer within Google's gTech Ads team, focusing on designing and building technical platforms and automation tools to support customer solutions. The role involves working with cross-functional teams to improve existing platforms and identify areas for enhancement, with a focus on efficiency and compliance with data and legal policies. While experience with machine learning is preferred, the core responsibilities revolve around platform engineering and solutioning for ad products. | — | 0 |
| Senior Software Engineer, Kubernetes, Google Cloud Senior Software Engineer role focused on improving the performance and cost efficiency of cluster autoscaling in Google Kubernetes Engine (GKE), involving core Kubernetes design and networking features. The role requires extensive experience in software development, distributed systems, and large-scale infrastructure, with engagement in the open-source community. | — | 0 |
| Software Engineer III, AI Infrastructure Security Google is seeking a Software Engineer III, AI Infrastructure Security in Warsaw, Poland, to work on a special project team building a groundbreaking, on-premises AI supercomputer. The role focuses on ensuring security for Alphabet, partners, and customers, developing operating system and hardware security features, and designing security solutions within the broader scope. The position requires software development experience and experience in data privacy or security. |
| — |
| 0 |
| Senior Software Engineer, Infrastructure Security Senior Software Engineer focused on infrastructure security at Google, developing novel security solutions for customers with sophisticated requirements. The role involves working closely with security teams, developing OS and hardware security features, designing security solutions, and reviewing code. Requires 5 years of software development experience, with experience in applications security, cryptography, network security, systems security, or malware analysis. | — | 0 |
| Software Engineer III, Infrastructure, Google Cloud Software Engineer III, Infrastructure, Google Cloud in Warsaw, Poland. This role involves contributing to the Hybrid and On-prem Infrastructure business by defining and delivering architecture and roadmap initiatives. Responsibilities include collaborating with Product and Go-to-Market leaders, supporting product and engineering excellence, contributing to customer advocacy, and partnering with internal and external organizations. Requires a Bachelor's degree or equivalent experience, with experience in software development, large-scale infrastructure, distributed systems, networks, compute technologies, storage, hardware architecture, and cloud computing, specifically Google Cloud Platform. Preferred qualifications include experience with data structures, algorithms, and contributing to complex, cross-functional teams. | — | 0 |
| Software Engineer, PhD, Early Career, Compute Infrastructure, Spatial Flexibility Software Engineer role focused on compute infrastructure and workload orchestration for Google's fleet, with opportunities in optimizing infrastructure efficiency, reliability, large-scale ML, and confidential computing. Requires background in distributed systems and familiarity with scheduling/orchestration systems like Kubernetes. | — | 0 |
| Software Engineer, PhD, Early Career, Compute Infrastructure, Spatial Flexibility Software Engineer role focused on compute infrastructure and workload orchestration for Google's fleet, with opportunities in optimizing infrastructure efficiency, reliability, and advancing capabilities for large-scale Machine Learning (ML) and confidential computing. Requires experience in distributed systems and familiarity with scheduling/orchestration systems like Kubernetes. | — | 0 |
| Software Engineer, PhD, Early Career, 2026 Start Google is seeking PhD graduates for Software Engineering roles, focusing on developing next-generation technologies that impact billions of users. The role involves working on critical projects across various product areas, including AI & Infrastructure and Google Cloud. Candidates will write product or system development code, participate in design reviews, review code, contribute to documentation, and triage/debug system issues. The position requires a PhD degree program and experience in languages like C++, Python, Java, C, or JavaScript. While Google is a leader in ML/AI, this specific role is a general software engineering position. | — | 0 |
| Software Engineer, GCE Control Plane, Early Careers, PhD Software Engineer on the GCE Control Plane team, focusing on improving the reliability and release speed of Google Compute Engine offerings. This role involves developing tools and frameworks to support over 300 engineers globally and ensuring efficient delivery of new Compute features to Google Cloud customers. | — | 0 |
| Software Engineer, Early Careers, PhD, gSoC Server Software Software Engineer role focused on firmware development for SoCs, including bootROMs, drivers, and security aspects. Requires a PhD and experience with embedded systems and C/C++. | — | 0 |