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 |
|---|---|---|
| Senior Software Engineer, AI/ML Infrastructure, Ads Senior Software Engineer role focused on AI/ML Infrastructure for Google Ads. The role involves designing and implementing solutions in specialized ML areas, leveraging ML infrastructure, and demonstrating expertise in fields like speech/audio or reinforcement learning. Key responsibilities include writing and testing code, collaborating on design and code reviews, triaging issues, and debugging. Minimum qualifications require significant experience in software development, testing, and ML infrastructure, including areas like model deployment, evaluation, optimization, data processing, and debugging. | Serve | 7 |
| Software Engineer III, Perception, XR Software Engineer III, Perception, XR at Google, focusing on on-device deep learning for audio enhancement and speech understanding in smart wearable glasses. The role involves developing and evaluating speech enhancement algorithms, experimenting with ML modeling, and acquiring data for training models. |
| Post-trainData |
| 7 |
| Team Lead, Mobile App, Ads, Serving, AI Focused Team Lead for a Mobile App Ads platform, focused on AI and ML. Responsibilities include writing and testing code, collaborating with stakeholders, triaging issues, and designing/implementing ML solutions using ML infrastructure. Requires experience in software development, ML infrastructure, and specialization in areas like Speech/audio, reinforcement learning, or other ML fields. | Serve | 7 |
| Software Engineer III, AI/ML, Chrome Autofill Software Engineer III at Google, working on AI/ML for Chrome Autofill. The role involves developing and launching models and infrastructure for AI experiences, with a focus on agentic systems that drive web interactions. Responsibilities include model development, design reviews, collaboration with product managers, and implementing models within an agentic system for high-quality web site actuation. Requires experience in software development, ML infrastructure, and familiarity with agentic workflows and LLMs. | AgentServe | 7 |
| AI Adoption Customer Engineer, Google Cloud Customer Engineer role focused on driving adoption of Google Cloud enterprise AI products, acting as a trusted advisor and technical leader for customers. Responsibilities include developing and executing AI deployment plans, identifying new AI use cases, and resolving technical blockers to accelerate customer time-to-value. Requires experience with cloud-native enterprise architecture, AI/GenAI solutions, multi-agent workflows, and RAG systems. | Agent | 7 |
| Staff Software Engineer, AI Intelligent Database Management Staff Software Engineer role focused on building and managing AI-assisted intelligent database management systems for enterprises. The role involves developing agentic experiences and LLM-based conversational agents to monitor and manage database fleets at scale, integrating with cloud databases and GCP services. Requires strong software engineering skills with significant experience in ML design, ML infrastructure optimization, and GenAI techniques. | AgentServe | 7 |
| Senior Security Engineer, Google Threat Intelligence Group This role focuses on understanding and mitigating security threats related to AI/ML systems within a client-facing context, acting as a lead onsite authority for AI technologies. Responsibilities include producing threat intelligence, communicating findings, fostering collaboration, and developing best practices for integrating AI-driven detection into the SDLC. The role requires experience with security assessments, engineering, and CTI methodologies, with a strong emphasis on AI/ML security. | Ship | 7 |
| Software Engineer, Android Trust Software Engineer role focused on protecting Android users from abusive apps by developing and scaling analysis platforms, implementing system-level code for deep inspection, and architecting defense strategies for agentic AI threat models. The work involves supervised/unsupervised ML and generative AI for security violations, static/dynamic program analysis, and threat mitigation. | Agent | 7 |
| Software Engineering Manager, Android Automotive AI/ML Software Engineering Manager for Android Automotive AI/ML, responsible for leading teams, setting technical direction, and shipping on-device ML products in the automotive domain. Focuses on integrating Google's AI technologies into vehicles. | Ship | 7 |
| Product Manager II, AI Crisis Resilience Product Manager to define and execute strategy for AI-powered crisis response experiences across Google Search, focusing on timely, accurate, and life-saving information during environmental and humanitarian crises. This role involves leading the development of AI-first systems, partnering with engineering and research teams, and balancing innovative AI solutions with data accuracy and trustworthiness. | Ship | 7 |
| Senior Developer Relations Engineer, AI Infrastructure Senior Developer Relations Engineer focused on AI Infrastructure, specifically GKE, Kubernetes, GPUs, and TPUs for training, fine-tuning, and inference workloads. The role involves building and running these workloads, creating developer content (demos, blogs, videos), and providing feedback to engineering teams. Requires experience with AI/ML workloads and producing developer content. | ServePost-train | 7 |
| Software Engineer III, Play Search Gateway, Homepage and Suggest Software Engineer III at Google working on Play Store Search Gateway, Homepage, and Suggest features. The role involves designing and developing backend services, implementing new features, and applying ML and Generative AI to enhance user experience, impacting billions of users globally. Responsibilities include working with LLMs and DNNs for query suggestions and personalized content, analyzing user data, and collaborating with cross-functional teams. | Ship | 7 |
| Staff Software Engineer, Network Health This role focuses on engineering the network infrastructure that supports large-scale AI/ML training and serving at Google. The engineer will define the roadmap for repair automation, design agentic diagnostic systems using Generative AI, integrate new hardware, lead safety initiatives like anomaly detection, and mentor junior engineers. The role requires experience with ML infrastructure, generative AI tools, and software development. | ServeAgent | 7 |
| Customer Engineer AI, Financial Services, Google Cloud Customer Engineer specializing in Gemini Enterprise, partnering with Technical Sales to integrate generative AI into enterprise environments. The role involves architecting secure, data-connected solutions beyond chat interfaces, engaging with customers to understand requirements, and presenting solutions on Google Cloud. It requires blending business expertise, market knowledge, and technical engagement to demonstrate the value of Google Cloud's AI portfolio. | Agent | 7 |
| Software Engineer III, Computer Vision, Pixel Camera Software Engineer III for Google's Pixel Camera team, focusing on computer vision and computational photography features. This role involves the full product lifecycle from research and algorithm development to optimization and commercialization, aiming to enhance image quality and create new visual experiences on Pixel phones. Experience with ML infrastructure and C++ is required. | ShipAgent | 7 |
| Senior Engineering Analyst, Workspace AI, Trust and Safety This role focuses on ensuring the safety and integrity of Workspace AI products by developing and implementing anti-abuse policies, strategies, and evaluation frameworks. It involves analyzing data, identifying safety issues, and collaborating with engineering and product teams to mitigate risks. | Eval GatePost-train | 7 |
| Software Engineer, Discover Recommendations and AI Feed Software Engineer role focused on end-to-end personalization for Google Search and Discover, involving retrieval, ranking, user understanding, and prediction. The role will work on modeling problems including sequence-based user understanding, real-time training, and personalization with LLM empowerment, building and deploying recommendation systems models, and optimizing ML infrastructure. | ShipData | 7 |
| Senior Software Engineer, Discover Recommendations and AI Feed Senior Software Engineer role focused on end-to-end personalization for Google Discover Recommendations and AI Feed. The role involves working on state-of-the-art modeling problems including sequence-based user understanding, real-time training, and LLM empowerment for personalization. Responsibilities include innovating recommendation algorithms, experimenting with novel signals and architectures, and designing/implementing recommendation system models using ML infrastructure. | ShipData | 7 |
| AI Adoption Customer Engineer, Google Cloud Customer Engineer focused on driving adoption of Google Cloud enterprise AI products, acting as a trusted advisor and technical leader for customers. Responsibilities include developing and executing AI deployment plans, resolving technical blockers, and identifying new AI use cases. Requires experience with AI/GenAI solutions, multi-agent workflows, and RAG systems. | Agent | 7 |
| Software Engineer II, Google Cloud Platform, Infrastructure Software Engineer II for Google Cloud Platform, focusing on the Kueue project, a CNCF open-source scheduler for AI workloads on Kubernetes. The role involves designing and building sophisticated scheduling solutions for accelerators (TPUs, GPUs) and large-scale CPU workloads, with a focus on algorithm design, system performance, and Kubernetes internals. The team also pioneers the use of Agentic AI for code development and issue diagnosis. | Serve | 7 |
| Senior Software Engineer, Local Ads Integrity and Spam This role focuses on leveraging Machine Learning at scale to solve problems in advertiser integrity, accelerated verification, and spam prevention within Google's Local Ads platform. The engineer will build infrastructure, improve quality, and design user experiences to ensure trust and safety for advertisers and users. The role involves managing 0-to-1 challenges and driving product features from design to launch. | Agent | 7 |
| Senior Software Engineering Manager, Flume ML Senior Software Engineering Manager for Google Cloud's Flume ML team, focusing on leading a team to enhance a data processing infrastructure product. The role involves advancing scheduleability and auto-tuning capabilities for ML pipelines and standard data workloads, bridging infrastructure and products, and collaborating with teams on autonomous driving and frontier AI. | Serve | 7 |
| Senior Developer Relations Engineer, AI Foundation and Security Senior Developer Relations Engineer for AI Foundation and Security at Google. This role involves building production-ready AI applications, integrating AI into secure workflows, demonstrating deployment at scale, and creating content to drive developer adoption of Google Cloud and Google AI. The role also involves providing feedback on AI features and influencing product roadmaps. | Agent | 7 |
| AI Customer Engineer, Google Cloud (Korean, English) Customer Engineer specializing in Gemini Enterprise, partnering with technical Sales teams to integrate Generative AI into complex enterprise environments. Focuses on architecting robust, secure, and data-connected solutions, blending sales, market knowledge, and technical engagement to prove the value of Google Cloud's AI portfolio. | Agent | 7 |
| Technical Program Manager, Applied Technical Expertise Enablement, GCP Technical Program Manager focused on enabling Google Cloud developers with AI expertise. This role involves leading the creation and execution of technical learning strategies, authoring and curating content, and designing learning experiences that help engineers build AI-native features and AI-first products. The position bridges traditional CS systems, Cloud product development, and AI-driven engineering, with a focus on practical application and adoption of AI tools within learning. | Agent | 7 |
| Staff Data Scientist, Search AI Overview Data Scientist role focused on leveraging GenAI model capabilities to improve the Google Search experience, involving analysis, measurement, and cross-functional development. The role aims to understand user needs, unlock new use cases, and drive product development and business outcomes. | Ship | 7 |
| Senior Staff Software Engineer, Automotive AI Senior Staff Software Engineer for Google's AI Automotive team, 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 strong emphasis on software design, architecture, and engineering excellence. | Agent | 7 |
| Business Data Scientist, Customer Voice, Analytics This role focuses on developing and deploying NLP and machine learning models to extract insights from customer conversations for a Go-to-Market team. It involves identifying trends, predicting customer behaviors, and ensuring statistical rigor in reporting, with a focus on Large Language Models and prompt engineering. | Post-trainData | 7 |
| Director, Product Management, Shopping Graph Enrichment Director of Product Management for Google's Shopping Graph enrichment and personalization portfolio. This role sits at the intersection of platform strategy and advanced machine learning, focusing on transforming the product catalog to power personalized shopping assistants and organic search. Key areas include scaling signal collection for fulfillment, using ML to organize brand and user content, and leveraging personal data for recommendations. The role requires influencing engineering, data science, and senior leaders across Google's ecosystem, managing sensitive first-party data responsibly, and operating with high autonomy. | Agent | 7 |
| Product Manager II, YouTube Growth Platform Product Manager for YouTube's Growth Platform, focusing on ML ranking algorithms for content promotion to drive user engagement (watchtime, feature usage) and subscriptions. This role involves leading the ML roadmap, partnering with engineering and data science, and advocating for growth platform impact. | ShipAgent | 7 |
| Group Product Manager, Google Commerce, Consumer Shopping Product leader for Google Consumer Shopping, focusing on building AI-powered shopping journeys and experiences. This role requires a deep understanding of the retail landscape, AI/ML technologies, and the ability to drive strategy and execution across cross-functional teams to launch and scale consumer-facing products. | Ship | 7 |
| Senior Software Engineer, AI/ML, AI and Infrastructure Senior Software Engineer on the AI and Infrastructure team at Google, focusing on delivering AI and Infrastructure at scale. The role involves designing and implementing ML solutions, leveraging ML infrastructure, and contributing to product/system development. Requires experience in Python/C++, software design, and ML infrastructure, with a specialization in areas like speech, reinforcement learning, or ML infrastructure. | ServeData | 7 |
| Software Engineer III, AI/ML, Core Software Engineer III, AI/ML, Core at Google, focusing on building the technical foundation for Google's flagship products. This role involves writing product/system development code, implementing solutions in specialized ML areas, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience with ML infrastructure such as model deployment, evaluation, optimization, and data processing. | Serve | 7 |
| Group Product Manager, Lens, Consumer Shopping Product Manager for Google Lens and Consumer Shopping, focusing on AI-powered experiences and agentic commerce. The role involves defining strategy, collaborating with cross-functional teams, and leading innovation by motivating engineering teams to build and deploy complex software solutions using ML and LLMs. Requires experience in product management, launching technical products, and building AI-powered features. | ShipAgent | 7 |
| Staff AI Product Designer, Gemini Assistant, DeepMind Staff AI Product Designer for Gemini Universal Assistant, focusing on user interface and consumer experience design for a conversational AI product. The role involves contributing to product strategy, translating user needs into design solutions, and creating high-fidelity visual designs. Requires significant product design experience and a portfolio. | Ship | 7 |
| Staff Software Engineer, ML Compilers, TPU Staff Software Engineer focused on developing and optimizing ML compilers for Google's Tensor Processing Units (TPUs). This role involves contributing to the XLA compiler, targeting high-performance implementations, designing new compiler passes, and collaborating on HW/SW co-design to accelerate machine learning workloads. | Serve | 7 |
| Senior Software Engineer, Generative AI, gUP This role focuses on designing, developing, testing, deploying, and maintaining large software systems for user feedback model serving and an AI assistant for customer support. It involves prototyping, managing project priorities, collecting and analyzing data for ML models, and collaborating with cross-functional teams. The role requires experience with GenAI techniques and ML infrastructure, with a focus on deploying and serving ML models. | ServeData | 7 |
| Software Engineering Manager, Pixel Camera Software Engineering Manager for Google's Pixel Camera team, responsible for leading a team of engineers in designing and building Android applications and server components. The role involves leading innovative camera AI feature development, architecting technical solutions on Pixel devices, and collaborating with cross-functional teams to deliver user-facing products that leverage Google AI, software, and hardware. | Ship | 7 |
| Staff Data Scientist, AI Mode Staff Data Scientist for Google's AI Mode, integrating Generative AI into Search to redefine user interaction with knowledge for billions globally. Responsibilities include cross-functional interaction, data analysis, driving innovation, end-to-end project ownership, and translating metrics into strategic narratives. | Ship | 7 |
| Staff Software Engineer, YouTube Ads Marketplace Optimization Staff Software Engineer at Google YouTube Ads, focusing on optimizing ad marketplace through large-scale AI systems that model user interests. The role involves leading ML/AI/SW engineers, designing and developing recommendation systems, optimizing ML infrastructure, and guiding model architecture development. Experience with production recommendation systems, ML design, ML infrastructure, and integrating generative AI tools is required. | AgentServe | 7 |
| Software Engineer, AI/ML, Ads Data Software Engineer, AI/ML role at Google Ads focusing on building agentic workflows, LLM features, or generative AI solutions. Requires experience in Python, C++, and designing AI solutions within a business context, with a focus on privacy. | Agent | 7 |
| Product Manager I, Ads Sellside Apps Product Manager for Google Ads Sellside Apps, focusing on evolving targeting and recommendation systems using AI and LLMs. The role involves architecting user journeys, developing a business generation platform for developers, and integrating AI into the advertising business to shape the mobile app ecosystem. | ShipAgent | 7 |
| Research Data Scientist II, Waze This role focuses on developing and owning Machine-Learning models for Waze's personalized navigation experience. Responsibilities include feature engineering, model evaluation, tuning, monitoring, and working with product and backend teams to integrate models into production. The role requires experience in data engineering, ML, and cloud platforms. | Post-train | 7 |
| Software Engineering Manager, Agentic Search Software Engineering Manager for Agentic Search at Google, responsible for leading a team of engineers, driving product strategy, and overseeing the development and deployment of large-scale AI/ML and information retrieval systems. The role involves technical leadership, people management, and fostering AI innovation within the team. | 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. The role involves technical leadership, team management, defining architecture and roadmaps, and collaborating with product and GTM leaders to deliver AI hardware and software solutions for customers with specific security and locality needs. | Serve | 7 |
| Staff Model UX Designer, GeminiApp, DeepMind This role focuses on designing the user experience for conversational AI products, specifically GeminiApp within DeepMind. The designer will collaborate with PMs, engineers, and researchers to create end-to-end product experiences, guide prompt engineering, prototype, and assess model performance. The role emphasizes shaping AI from a passive responder to a proactive partner and ensuring cohesive, high-quality multimodal experiences. | ShipEval Gate | 7 |
| Head of Agentic Business Intelligence, Google Cloud Lead a team defining the intersection of enterprise Business Intelligence and Generative AI, focusing on integrating agentic workflows and conversational analytics within Looker for Google's global Go-To-Market Sales organization. This role will define the long-term goals, architecture, and infrastructure for the "Frictionless Intelligence" initiative, creating a blueprint for enterprise Google Cloud adoption. | Agent | 7 |
| Software Engineering Manager II, YouTube Posts Discovery Software Engineering Manager II for YouTube Posts Discovery team, leading a team focused on applied machine learning recommendations to drive Posts Feed growth and quality. This role involves managing engineers, developing technical understanding of search and discovery systems, and partnering with cross-functional teams. | Agent | 7 |
| Product Manager II, YouTube Shorts Effects and AI Product Manager for YouTube Shorts Effects, focusing on Augmented Reality and Generative AI capabilities. The role involves owning the end-to-end roadmap for effects in the camera and editor, defining strategy for first-party and branded effects, and pioneering agentic workflows to scale effect production. Requires experience with Generative AI and consumer product management. | AgentData | 7 |
| AI Outcome Customer Engineer, Forward Deployed Engineering This role is for an AI Outcome Customer Engineer focused on enterprise AI solutions. The engineer will act as an enterprise architect and technical debugger, bridging pre-sales and post-sales execution. Responsibilities include shaping solutions for adoption, leading technical design for integration of models and agents, debugging complex implementation issues, and serving as a liaison to product and engineering teams. The role involves ensuring seamless integration into customer IT ecosystems, including connectors, identity, and data residency, and driving technical delivery strategy. The position emphasizes solving business problems with Google's AI portfolio and Vertex AI platform. | AgentServe | 7 |
