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, Apps, Video and Display Modeling Infrastructure Software Engineer role focused on building and improving modeling infrastructure for Google Ads, supporting user data collection, model training, feature iteration, inference, and serving. The role involves building infrastructure to enhance dev velocity and resource efficiency in ad personalization modeling, and assisting ML teams with onboarding the latest modeling infrastructure. | ServeData | 7 |
| Senior Technical Program Manager, Google Cloud Applied AI, Capacity Management Senior Technical Program Manager role focused on managing critical infrastructure capacity for Google Cloud Applied AI (AAI) products, including agent-based solutions and Gemini Enterprise. The role involves designing and operationalizing capacity planning processes, collaborating with cross-functional teams, and ensuring resource constraints do not hinder program velocity for enterprise customers. |
| ServeAgent |
| 7 |
| Senior Data Engineer, Product Analytics, Payments Senior Data Engineer role focused on building agentic analytics systems using LLMs and AI for Google's Payments product. The role involves designing and implementing AI-native data pipelines, automating insight generation, and partnering with Product, Data Science, and Engineering teams to deliver solutions. Requires strong Python, SQL, data pipeline, and ML operations experience, with a preference for AI/LLM systems and agentic workflows. | AgentData | 7 |
| Software Engineer III, AI Powered Rust Software Engineer III role focused on building and leveraging AI, specifically agentic workflows, to automate the migration of C/C++ codebases to Rust. The role involves optimizing AI-generated code, implementing verification workflows, and designing multi-agent harnesses for code translation and analysis. | Agent | 7 |
| Manufacturing Test Development Engineer This role focuses on developing and deploying manufacturing test solutions for new ML products, ensuring their quality and reliability at scale. The engineer will work on custom silicon for AI infrastructure, partnering with design teams, managing test station bring-up at contract manufacturers, and analyzing manufacturing data to improve test processes and support root-cause failure analysis. The role is critical for enabling the scaling of Google's AI infrastructure. | Ship | 7 |
| Senior Software Engineering Manager, Core, engEDU This role is for a Senior Software Engineering Manager to lead teams focused on embedding AI into Google's internal engineering education curriculum. The manager will provide technical leadership for major projects, manage project goals, contribute to product strategy, and develop their team. Key responsibilities include setting team priorities, providing feedback and coaching, developing long-term technical roadmaps, overseeing systems designs, and driving technical project strategy for ML infrastructure optimization and GenAI solutions. The role requires significant experience in software development, technical leadership, people management, ML infrastructure optimization, and GenAI techniques. | ServeAgent | 7 |
| Senior Software Engineer, GenAI GCP Security Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Cloud, leveraging ML infrastructure and evaluating tradeoffs. Requires experience with Python/C++, ML infrastructure, and Generative AI techniques. | Agent | 7 |
| Software Engineer II, Cloud AI/ML Software Engineer II role at Google Cloud focusing on AI/ML, involving product/system development, ML concept implementation, and deployment on cloud infrastructure. Requires experience with core ML concepts and software development. | Serve | 7 |
| AI Solutions Engineer, GenAI Applications, Global Business Consulting This role focuses on building and operationalizing Generative AI solutions, specifically LLM-based agents and applications, using techniques like RAG and fine-tuning. It involves designing and maintaining data pipelines, implementing full-stack GenAI applications, and adhering to MLOps standards for production deployment. | AgentData | 7 |
| Post-Training Technical Program Manager, GenAI, DeepMind Technical Program Manager for GenAI at DeepMind, focusing on post-training AI development. The role involves leading complex, cross-functional programs, translating AI concepts into strategic plans, managing stakeholders, and ensuring project delivery. Requires strong technical acumen and experience in leading engineering projects. | Post-train | 7 |
| Software Engineer III, AI/ML, Content Safety Software Engineer III, AI/ML, Content Safety role at Google focuses on developing and implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. The role involves writing product/system development code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and implementing solutions in specialized ML areas. Minimum qualifications include software development experience and experience with speech/audio, reinforcement learning, ML infrastructure, model deployment, evaluation, optimization, or data processing. | Serve | 7 |
| AML Transaction Monitoring Analyst This role focuses on building and optimizing an AML transaction monitoring program within Google Payments. It involves designing, implementing, and tuning rules and machine learning models, automating workflows, and integrating AI capabilities to enhance fraud and financial crime detection. The role also includes building reporting dashboards and using AI agents/LLMs for pattern identification. | AgentData | 7 |
| Software Engineer III, AI/ML, Google Workspace Google is seeking a Software Engineer III for their AI/ML team within Google Workspace. This role focuses on developing AI-powered features for productivity tools like Gmail, Docs, and Meet, impacting billions of users. The engineer will write product/system code, collaborate on design and reviews, contribute to documentation, triage issues, and implement ML solutions using ML infrastructure, focusing on model optimization and data processing. The role requires experience in Python/C++, ML infrastructure, and at least one ML specialization like speech/audio, reinforcement learning, or ML infrastructure. | Ship | 7 |
| Customer Engineer, Generative AI (English, Portuguese) Customer Engineer specializing in Generative AI for Google Cloud, focusing on advising enterprise clients, developing AI solutions, conducting proofs-of-concept, and guiding the implementation of scalable AI applications. Requires strong technical, communication, and programming skills, with experience in agentic AI frameworks and integrating AI APIs. | Agent | 7 |
| Software Engineer III, AI/ML, Google Cloud, Automotive Software Engineer III role at Google Cloud focusing on AI/ML within the Automotive sector. The role involves writing product/system development code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and implementing solutions in specialized ML areas. Key responsibilities include utilizing ML infrastructure, contributing to model optimization, and data processing. Minimum qualifications include experience in software development and specific ML fields like speech/audio, reinforcement learning, or ML infrastructure. | Serve | 7 |
| Software Engineer II, AI/ML Software Engineer II, AI/ML at Google Cloud, focusing on developing and deploying AI/ML solutions for enterprise needs, including AI safety and cloud infrastructure integration. | Serve | 7 |
| Technical Lead, Native Commerce Integrations Technical Lead role focused on building the foundational protocol and API layer for AI agents to interact with commerce back ends. This involves designing schemas, developing AI commerce experiences on Google surfaces, building native integrations, and ensuring trust and safety for agentic transactions. The role also involves leading a team of engineers, driving technical strategy, and contributing to the codebase. | AgentServe | 7 |
| Software Engineering Manager, Commerce Shopping Quality Journey Orchestration Manage a team focused on orchestrating AI quality within Google Shopping, leveraging LLM-based autoraters for user metric proxies and driving improvements through advanced response orchestration. | Agent | 7 |
| Data and AI Consultant This role involves providing expert advisory and technical leadership for Google Cloud clients in Sub-Saharan Africa, focusing on modernizing infrastructure and achieving business objectives through cloud adoption. The consultant will architect and deploy Agentic platforms, lead AI initiatives, design robust architectural solutions for agentic implementations, and deliver big data and machine learning solutions. They will also influence the roadmap of Google Cloud Platform by identifying new product features and collaborating with Product Managers and Engineers. The role requires experience with LLMs, enterprise AI platforms, and cloud data platforms, with a focus on Python, Scala, or R. | Agent | 7 |
| Staff Software Engineer Staff Software Engineer at Google, leading a team to build the foundational text and multimodal understanding layer for AI relevance, grounding, and factuality in search experiences. The role involves people management and direct technical contributions to entity grounding systems and evaluation frameworks. | AgentEval Gate | 7 |
| Staff Software Engineer, Gemini Enterprise Mobile Staff Software Engineer role focused on building the Gemini Enterprise mobile application for iOS and Android. This role involves integrating Gemini's reasoning and enterprise data to create a platform for enterprise search, assistants, and agents, enabling users to interact with internal systems, summarize information, generate content, and take actions. The focus is on horizontal use cases spanning multiple industries and building reusable components for enterprise customers. | Agent | 7 |
| Software Engineering Manager II, Health Data Foundation Software Engineering Manager II for Google's Health Data Foundation team, focusing on organizing and transforming health and fitness data using AI for Fitbit. The role involves leading a team, architecting technical solutions, and driving cross-functional collaboration to build impactful AI-driven projects. | Data | 7 |
| Senior UX Engineer, YouTube Subscriptions Senior UX Engineer for YouTube Subscriptions, focusing on building an AI prototyping program for OTT content. This role involves architecting experimental frameworks for GenAI-driven creation tools, developing shared sandboxes and reusable toolsets for designers, and integrating LLMs to create functional, high-fidelity prototypes. The engineer will also work with front-end engineers to transition designs into production-ready UI. | Agent | 7 |
| Machine Learning Analyst, Egregious Harms This role focuses on developing and applying machine learning and AI techniques to create scalable safety solutions for AI products within Google's Trust and Safety team. The analyst will examine protection measures, uncover shortcomings, and provide insights for security enhancements, specifically computing statistics on the performance of ML systems, classifiers, and LLMs to identify nuanced problems. | ShipPost-train | 7 |
| Senior Software Engineer, Core, AI Enablement Google is seeking a Senior Software Engineer to join their AI Enablement organization, specifically the Core team. This role focuses on building internal AI-native products and tools to enhance Googler productivity. The engineer will lead the technical execution of transitioning AI prototypes into scalable products, own complex technical areas, and write high-quality code. Experience with LLMs, agentic workflows, and full-stack development is preferred. | ShipAgent | 7 |
| Software Engineer III, Google Play, AI Game Assistant Software Engineer III at Google Play focused on leveraging AI to create compelling user experiences for mobile games, including building and deploying recommendation systems models, utilizing ML infrastructure, and contributing to model optimization and data processing. | ShipData | 7 |
| Principal Engineer, YouTube Shorts, Creator Growth Principal Engineer for YouTube Shorts Creator Growth team, focusing on growing the creator ecosystem by inspiring viewers to create. This role involves modeling complex user journeys, building attribution systems, developing cold-start solutions, and creating sophisticated creator value models. It leverages LLMs, multi-modality modeling, and large embedding models for specialized recommender systems, partnering with Gemini and research teams to lower creation barriers. The role requires deep expertise in large-scale recommendation systems, Generative AI for content understanding, and machine learning infrastructure. | ShipAgent | 7 |
| Senior Software Engineer, Full Stack Senior Software Engineer role focused on full-stack development within Google Cloud's AI Research team. The role involves writing and testing code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging issues. The team works on AI challenges across various industries, aiming to push state-of-the-art AI and bring innovations to real-world impact. Requires experience in Gen/AI and building AI applications. | Ship | 7 |
| Senior Staff Software Engineer, Automotive AI Senior Staff Software Engineer on the AI Automotive team at Google, focusing on building a Gemini-native platform for automotive OEMs to develop, deploy, and maintain intelligent agents for AI-defined vehicles. The role involves designing and developing scalable server-side infrastructure, APIs, and backend systems using C++ and Go, with a focus on engineering excellence and technical leadership. | Agent | 7 |
| Software Engineer III, AI/ML, gUP Customer Support Software Engineer III at Google working on User Voice and Cases AI Assistant, focusing on designing, developing, testing, deploying, and maintaining software systems for user voice model serving and other ML-based support needs. The role involves integrating ML models into production environments and working with ML infrastructure. | Serve | 7 |
| Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube Staff Software Engineer at Google focused on AI/ML for Recommendations, Rankings, and Predictions within YouTube. The role involves designing, developing, and deploying large-scale software solutions, leading ML infrastructure optimization, and guiding model architecture development. Requires significant experience in building and deploying recommendation systems models and ML infrastructure in production. | ShipServe | 7 |
| Senior Engineering Manager, Geo This role is for a Senior Engineering Manager at Google's Geo team, focusing on leading software engineers and managing technical project strategy, ML infrastructure optimization, and the design/implementation of ML solutions. The role involves people management, setting team priorities, developing technical roadmaps, and overseeing system designs, particularly within the Geo domain (Maps, Earth, etc.). Experience with ML infrastructure, speech/audio, reinforcement learning, or other ML specializations is required. | ServePost-train | 7 |
| Practice Customer Engineer, Applied AI, Google Public Sector Customer Engineer specializing in Applied AI for Google Public Sector, partnering with sales teams to showcase Google Cloud's AI/ML capabilities, develop solutions, and conduct proofs of concept for government and education clients. Requires experience with AI/ML APIs, prompting, agent tooling, evaluation frameworks, and conversational AI. | Agent | 7 |
| Engineering Manager, Hybrid and On-prem AI Infrastructure Engineering Manager for Hybrid and On-prem AI Infrastructure, focusing on building a novel on-premises AI supercomputer using Google's AI accelerators hardware and the critical software that supports it. The role involves technical leadership, team management, strategic direction, and collaboration with product and GTM teams to deliver solutions for customers with sophisticated security and locality requirements. | Serve | 7 |
| Software Engineer Manager II, Embedded Systems/Firmware, Silicon This role manages a team of compiler engineers focused on optimizing AI models for EdgeTPU hardware. Responsibilities include improving compiler quality and performance, developing parallelization and scheduling algorithms for ML workloads, and mapping AI models to hardware instructions. The role requires experience in compiler development, ML accelerators, and people management. | Serve | 7 |
| Cloud Engineer, AI/ML, Professional Services, Google Cloud (English, Japanese) Google Cloud Consulting Professional Services team seeks a Cloud AI Engineer to design and implement ML solutions for enterprise customers, leveraging Google Cloud products like TensorFlow, DataFlow, and Vertex AI. The role involves customer engagement, solution deployment, workshops, and collaboration with product teams. Requires strong software development and ML experience, cloud architecture knowledge, and fluency in Japanese and English. | ShipServe | 7 |
| Software Engineer III, AI/ML, Display Ads Software Engineer III, AI/ML role focused on developing and optimizing ML models and infrastructure for Google's Display Ads platform. This involves writing code, collaborating on design and reviews, triaging issues, and implementing solutions in specialized ML areas, with a focus on model optimization and data processing. | Serve | 7 |
| Software Engineer, AI/ML, Workspace Software Engineer role focused on the quality of generative AI-powered features in Google Workspace. Responsibilities include modeling, evaluation, experimentation, synthetic data generation, and improving GenAI models for real products, collaborating with various Workspace and Gemini teams. Requires software development experience and experience with ML infrastructure, model evaluation, optimization, and data processing. | ShipData | 7 |
| Senior Site Reliability Engineer Senior Site Reliability Engineer (SRE) role focused on ensuring the reliability, scalability, and performance of AI/ML platforms, specifically the Vertex AI platform. The role involves supporting the full lifecycle of services, from design to operation, with a strong emphasis on automation, incident response, and building production-quality ML systems. While the role supports AI/ML platforms, the primary output is reliable infrastructure and services (L3), not the AI models themselves. | Serve | 7 |
| Technical Program Manager, Safety, Alignment and Collaboration, DeepMind Technical Program Manager for Post-Training & Alignment in GenAI at DeepMind, focusing on driving technical design, execution, and operational processes for safety, alignment, and collaboration. The role involves managing multi-team projects, adapting plans in fast-paced environments, identifying risks, and building stakeholder relationships. | Post-train | 7 |
| RTL Design and Integration Engineer, TPU and ML This role focuses on the RTL design and integration of Google's Tensor Processing Units (TPUs), which are custom hardware accelerators for AI/ML workloads. The engineer will be responsible for microarchitecture, design, implementation, and integration of digital logic blocks, collaborating with cross-functional teams to deliver hardware. The role emphasizes optimizing for performance, power, and area in complex digital designs for AI accelerators. | Serve | 7 |
| Senior Software Engineer, AI Powered GRC Automation This role focuses on building and maintaining a scalable platform to support AI-driven Governance, Risk, and Compliance (GRC) functions. The engineer will develop and implement AI/ML models and algorithms for automating tasks like continuous controls monitoring, audit readiness, and risk management, and will also engineer data pipelines for training and monitoring. | AgentData | 7 |
| Software Engineer, Information Security Engineering Software Engineer role focused on developing agentic tooling and systems for information security at Google. The role involves automating security processes, analyzing risks, detecting vulnerabilities, and assisting developer teams in embedding security best practices. Key responsibilities include collaborating on AI agent development, steering the strategic development of agents and infrastructure for vulnerability handling, and implementing Go back-end systems and Python AI agents. | Agent | 7 |
| Cloud AI Consultant II, Professional Services (English) This role involves consulting with customers to develop, deploy, and manage custom AI/ML solutions in production using Google Cloud technologies. The consultant will provide technical project management and guidance, working with client executives and technical leaders, as well as internal specialists and partners. | ShipAgent | 7 |
| Staff Software Engineer, AI/ML, App Ads Quality Staff Software Engineer at Google working on App Ads Quality, focusing on designing and improving deep learning-based ML models to predict user interaction with ads. This involves feature engineering, optimizing model efficiency and reliability, and debugging advertiser performance. The role requires significant experience in software development, ML design, and ML infrastructure. | Post-train | 7 |
| Security Engineer II, Uppercase Research Security Engineer II, Uppercase Research at Google, focusing on identifying and mitigating threat actors using big data, cybersecurity, machine learning, and large-scale cloud computing. The role involves technical threat actor behavior analysis, data analysis for ML pipelines, building detection engineering processes and tooling, managing YARA-L rules, and innovating detection engineering with LLM-based technologies. | Data | 7 |
| Software Engineer III, AI/ML Computer Vision, AR Software Engineer III at Google working on AI/ML Computer Vision for AR. Responsibilities include writing product/system code, collaborating with peers, contributing to documentation, triaging issues, and implementing computer vision solutions with ML infrastructure, model optimization, and data processing. Requires a Bachelor's degree, 2 years of Python/C++ experience, 1 year of Computer Vision experience, and 1 year of ML infrastructure experience. | ServeData | 7 |
| Software Engineer, Android User Experience, Pixel Software Engineer role focused on integrating AI models into the Android User Experience for Pixel devices, specifically for an attention management feature. Responsibilities include designing and implementing the AI feature, optimizing performance and latency in collaboration with hardware teams, and building the application UI. | Agent | 7 |
| Software Engineer III, Mobile XR Software Engineer III, Mobile XR at Google, focusing on building AR glasses applications that integrate AI, particularly Gemini-based translation models, for real-time speech translation and other helpful experiences. The role involves adapting and launching first-party apps for mobile platforms, leveraging Generative AI tools for development acceleration, and ensuring native XR support. | Ship | 7 |
| Software Engineer III, Google Threat Intelligence Software Engineer III for Google Threat Intelligence focused on building AI-driven systems for cyber threat collection and analysis. The role involves developing automated tools to gather data from the dark, deep, and open web, applying ML/LLMs to process unstructured text, and building data pipelines to create structured intelligence for threat databases. The goal is to enhance proactive defense against global cyber threats. | Data | 7 |
