Google currently has 612 active AI-related job listings. The majority of these roles, 44%, are focused on agents, with serving infrastructure representing another significant portion at 25%. Engineering is the most frequent function for these positions. The company is hiring for AI roles across several technical areas, including agent orchestration, model serving, and LLM observability.
Google currently has 612 active AI-related roles in our index. The most common open titles are: Software Engineer (4), Senior Software Engineer (3), Software Engineer III, AI/ML, Google Cloud (3), AI Adoption Customer Engineer, Google Cloud (2), AI Outcome Customer Engineer, Cloud AI Tech GTM (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (44%), serving infrastructure (25%), 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 (381 roles), India (53 roles), Singapore (40 roles), United Kingdom (26 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 525 new AI-related roles.
Currently tracking 528 active AI roles, with 1268 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $234k).
| Title | Stage | AI score |
|---|---|---|
| Software Engineering Manager II, Core, Web Ecosystem Manage a team of engineers focused on the Web Ecosystem team, which powers languages, libraries, and tooling like TypeScript, JavaScript, CSS, and WebAssembly. The role involves managing projects, contributing to product strategy, and developing the team, with a focus on evolving tooling for AI code generation and AI agent integration within an agentic SDLC. | — | 5 |
| Software Engineer, Voxel, JIT and Hardware Accelerated GoogleSQL Software Engineer on the Voxel team at Google, focusing on optimizing GoogleSQL query execution through JIT compilation and hardware acceleration using MLIR. The role involves designing and implementing efficient kernels for SQL operations across heterogeneous hardware (CPUs, GPUs, TPUs) to support Google's AI/ML infrastructure, including vector search and data preparation. | — | 5 |
| Global Analytics and AI Strategic Partner Development Manager This role focuses on facilitating C-level relationships with partners, showcasing Google's technology solutions, and guiding partners in developing their service offerings on Google Cloud. The manager will act as the primary technical and strategic partner liaison, driving the co-creation and adoption of AI solutions, elevating partners' technical capabilities, and accelerating customer value through technical enablement and strategic Go-To-Market (GTM) execution. The role involves working with partners to develop pipeline, land joint wins, and accelerate customer and partner value, including accelerating consumption for joint solution offerings. The manager will lead GTM efforts for AI, define sales plays, and act as a trusted advisor throughout the journey of identifying opportunities, developing capabilities, pursuing sales plays, landing wins, and delivering customer success. This involves driving campaign execution in orchestration with partners' technical, sales, and marketing teams, leveraging experience in solution building, partner management, strategy, and sales. |
| — |
| 5 |
| Software Engineer, TPU Software Systems, Cloud Software Engineer role focused on designing, developing, and maintaining the software infrastructure for Google's TPU supercomputers, specifically tailored to support massive-scale machine learning applications and enable efficient execution of data parallelism algorithms. | Serve | 5 |
| Product Manager II, Infrastructure, Google Cloud Product Manager for Google Cloud's AI and Infrastructure team, focusing on defining and delivering AI and infrastructure services at scale for enterprise customers. This role involves driving product strategy, collaborating with engineering and other teams, and bringing new cloud services to market. | — | 5 |
| Senior Staff Technical Program Manager for Safety and Privacy, GeminiApp, DeepMind The Senior Staff Technical Program Manager will lead the cross-functional execution, alignment, and approach for a universal AI assistant product, focusing on safety, privacy, and security. This role involves co-designing safety mitigations with modeling teams, translating ambiguous priorities into executable programs, and managing complex dependencies to ensure responsible-by-design features from base model to UI. The role requires a blend of technical understanding, regulatory awareness, and leadership to deliver a trustworthy and compliant AI product at scale. | — | 5 |
| Global AI Strategic Partner Development Manager This role focuses on driving the adoption and go-to-market strategy for Google's AI solutions, specifically Gemini Enterprise, on Google Cloud. The individual will act as a technical and strategic liaison with partners, helping them develop their AI service offerings, co-create solutions, and accelerate customer value. Responsibilities include technical enablement, architectural review, and leading GTM execution for AI initiatives. | — | 5 |
| AI Technical Enablement Lead, Google Cloud This role focuses on developing and executing technical enablement programs for Google Cloud's AI products, targeting Go-to-Market (GTM) technical roles like Forward Deployed Engineers and Customer Engineers. The lead will create training materials and strategies to help these roles effectively use, demo, and showcase AI products to customers, driving technical conversations and understanding of Google Cloud's AI offerings. | — | 5 |
| Senior Silicon Design Verification Engineer, Google Cloud This role focuses on the verification of custom silicon solutions, specifically Tensor Processing Units (TPUs), which are designed to accelerate Artificial Intelligence/Machine Learning (AI/ML) workloads. The engineer will be responsible for the full verification life-cycle, including planning, test execution, and coverage closure, ensuring the reliability and performance of these AI/ML-focused hardware components. | — | 5 |
| Staff Software Engineer, Home Infrastructure This role is for a Staff Software Engineer on the Health and Home Infrastructure team at Google. The team focuses on building scalable serving and offline infrastructure, developer platforms, and data services for Google Home and Nest products. The role involves managing a team, developing and maintaining high-QPS distributed systems, and ensuring reliability and low-latency performance. While the team uses AI (like Gemini) to enhance product features, the core responsibility of this role is infrastructure engineering, not direct AI/ML model development. | — | 5 |
| Senior Business and Marketing Data Scientist This role focuses on applying data science and advanced analytics to solve business and marketing challenges within Google. The Senior Business and Marketing Data Scientist will translate business problems into analytical solutions, develop statistical models, improve data pipelines, and build evaluation metrics. The role involves partnering with internal teams, driving strategic initiatives, and influencing stakeholders to deliver customer-centric, data-driven insights for marketing and product impact. While AI tools may be used, the core function is not building AI models but rather applying data science for business insights and optimization. | — | 5 |
| Technical Program Manager, MarComm OS and Ops, DeepMind (Fixed-Term Contract) Technical Program Manager for MarComm OS and Ops at Google DeepMind, focusing on operational infrastructure, piloting generative AI tools for internal use, and translating organizational objectives into actionable initiatives. The role involves partnering with engineering teams, managing program budgets, and advising leadership. | — | 5 |
| Senior Engineer, GDC, Lifecycle Management, Supply Chain Platform This role involves designing intelligent workflows and autonomous AI agents to manage the lifecycle of Google Distributed Cloud (GDC) infrastructure, from hardware ordering to deployment and turn-up processes. The goal is to evolve traditional infrastructure management into a smart, self-managing platform. | Agent | 5 |
| Software Engineer II, AI/ML, Defense and Consulting Engineering Software Engineer II, AI/ML role focused on developing AI/ML solutions for defense and consulting engineering products. The role involves designing, developing, and delivering high-quality code, collaborating with peers, contributing to documentation, triaging issues, and applying foundational ML concepts. Requires 1 year of software development experience and 1 year of experience implementing core ML concepts. Preferred qualifications include experience with Generative AI, Agentic AI, LLMs, cloud platforms, and scalable distributed systems. | Ship | 5 |
| Staff Software Engineer, Gemini App, Data Engineering, DeepMind Staff Software Engineer on the Gemini Apps Data Engineering team at Google DeepMind. This role focuses on architecting and operating data pipelines for Gemini, a large-scale AI product. Responsibilities include building scalable data pipelines for analytics and ML/AI training, ensuring data quality and reliability, and providing technical leadership to a team of engineers. The role involves working with stakeholders across Data Science, model release, and DeepMind to solve data challenges and support Gemini's growth. | Data | 5 |
| Product Manager, Googler Experience Product Manager for Googler Experience, focusing on agentic experiences and leveraging AI/ML for prototyping and product development. The role involves leading customer user journeys, partnering with cross-functional teams, launching new products, and using market research to shape product direction. Requires experience with technical products and AI/ML technologies, with a preference for experience with Generative AI for consumer products. | — | 5 |
| Global Content Manager, Customer Stories, Cloud The Global Content Manager for customer stories will partner with the Marketing Customer Reference team to identify, write, and amplify customer stories for field sellers. This role will work cross-functionally across sales, marketing, PR, strategy and operations, and product teams to ensure sellers have access to the right customer content at the right time via generative AI chat agent tools, libraries, sales newsletters, industry community forums, dashboards, and more. The role is within Google Cloud's Go-To-Market team, leveraging Google's AI portfolio. | — | 5 |
| Senior RTL Design Engineer, Machine Learning Accelerators Senior RTL Design Engineer focused on AI/ML hardware acceleration for Google's TPUs. Responsibilities include designing and verifying complex digital ASIC blocks, collaborating with software teams, and improving overall chip design for AI/ML applications. | — | 5 |
| Senior Staff Software Engineer, Regulatory, Compliance and Policy Senior Staff Software Engineer focused on regulatory compliance and policy within Google Search, leveraging LLMs and agentic solutions to translate external requirements into infrastructure enhancements. The role involves driving technical work, strategic vision, and OKR planning, with a strong emphasis on C++ programming and software design/architecture. | — | 5 |
| Product Marketing Manager, Retail Ads Product Marketing Manager for Google's agentic commerce and AI retail solutions, focusing on B2B2C marketing. The role involves architecting global narratives, defining messaging frameworks, and creating compelling content to influence the retail ecosystem's adoption of AI-driven commerce solutions. This cross-functional role requires strong storytelling, collaboration with various teams, and the ability to integrate generative AI tools into workflows. | — | 5 |
| Software Engineer Manager II, Google Workspace This role is for a Software Engineering Manager II at Google Workspace, focusing on managing software engineers and contributing to product strategy for AI-enhanced productivity tools like Gmail, Docs, and Meet. The manager will guide teams in developing AI features, collaborate with product and UX, and invest in team career development, including adopting DevAI practices. The role involves technical leadership, people management, and overseeing large-scale projects. | — | 5 |
| Staff Software Engineer, Search Feature Staff Software Engineer role at Google, focusing on building a transformative developer experience for Search developers. The role involves designing, developing, testing, and deploying software solutions, with a strong emphasis on platform systems that scale for Search product needs. While AI is mentioned as a domain of interest and knowledge is expected, the core responsibility is software engineering for developer tools within the Search product, not direct AI/ML model development. | — | 5 |
| AI and Knowledge Strategist This role focuses on developing content strategies for Google Ads, specifically leveraging AI-powered tools to map user intent to content solutions. The strategist will translate business requirements into AI prompts, monitor model behavior for accuracy and grounding, and create high-quality content solutions. A key aspect involves understanding and applying Generative AI guardrails to mitigate risks like hallucinations and ensure reliable AI-driven experiences. | — | 5 |
| Senior Software Engineer, BigQuery SQL Translation Senior Software Engineer role focused on enhancing a BigQuery SQL Translation Service that uses Gemini AI LLMs and a semantic compiler engine to convert SQL from various databases to BigQuery SQL. The role involves improving the translation engine, extending semantic analysis for new migration cases, and working with large-scale distributed systems. | Agent | 5 |
| Staff Site Reliability Engineer Staff Site Reliability Engineer for Google Cloud's AI infrastructure, focusing on the reliability and supportability of data intelligence systems (Woodshed and Napa) that underpin Google's AI initiatives. The role involves leading the SRE team, improving system design, automation, and capacity management for large-scale, distributed systems, with a specific emphasis on production ML systems. | Serve | 5 |
| Product Strategy and Operations Lead, AI and Infrastructure Product Strategy and Operations Lead for Google's AI and Infrastructure Cloud business, focusing on business and product strategy, operations, and communication. This role partners with senior leadership to drive strategic projects, incubate new initiatives, provide analytics support, and facilitate business operations for external-facing AI/ACI Cloud and internal-facing CoreML/TI businesses. The role involves developing business-level and product strategies, driving strategic projects, and providing data-driven recommendations. | — | 5 |
| Associate Product Counsel, Health and Home, Pixel and Research Product Counsel for Google's Health and Home, Pixel, and Research teams, focusing on legal guidance for devices and software with AI features, including the Gemini assistant. Responsibilities include advising on privacy, product launches, and regulatory issues. | — | 5 |
| Software Engineer III, YouTube Shorts, Client Side Mobile (iOS) Development Software Engineer III role at Google YouTube Shorts, focusing on client-side mobile (iOS) development. The role involves driving full-stack development for the Shorts consumption experience, including client development, cross-platform UI, and C++ frontend serving. A key aspect is pioneering work streams to build ML models and heuristics for personalizing and optimizing the Shorts player UI. Experience with data-driven UI personalization and Swift development is required. | Agent | 5 |
| Product Manager, YouTube Shopping Ads Product Manager for YouTube Shopping Ads, focusing on AI-driven creator content selection, enhancements, and ad experiences. The role involves defining product roadmaps, collaborating with cross-functional teams, and managing product metrics for direct response and shopping ads. | Ship | 5 |
| Electrostatic Discharge Engineer Electrostatic Discharge (ESD) Engineer responsible for designing, implementing, and maintaining measures to prevent and control electrostatic discharge from electronic components and devices, with a focus on TPU architecture for AI/ML applications. | — | 5 |
| Staff Technical Lead Health Features, Backend, Data Infrastructure Staff Technical Lead for Health Features, Backend, and Data Infrastructure at Google. This role involves leading a team of software engineers, defining technical strategy for data ingestion and health features, and ensuring system reliability, security, and compliance (including HIPAA). The role emphasizes leveraging AI to improve development velocity and code quality, and bringing AI-driven health experiences to users. | Data | 5 |
| Senior Research Data Scientist Data Scientist role focused on advertising product creation, development, and improvement, using scientific and statistical methods, including machine learning and causal inference, to analyze user behavior and ecosystem dynamics. The role involves collaborating with engineers, analysts, and product managers to translate scientific insights into deployed products at scale, with a focus on ad-measurement, effectiveness, and incrementality. | — | 5 |
| Software Engineer III, Application Developer, XR Google is seeking a Software Engineer III to develop next-generation wearable technology for their XR team. This role focuses on building flagship communication apps for glasses, leveraging integrated AI assistance for features like audio/video calls, translation, and navigation within an innovative wearable ecosystem. The engineer will write product or system development code, review code, contribute to documentation, triage and debug issues, and participate in design reviews. | — | 5 |
| Software Engineer, Search Evaluation Platforms Software Engineer role focused on developing and enhancing software solutions for Google Search, with a specific emphasis on evaluation platforms. The role involves writing code, managing project priorities, and collaborating with various teams to ensure alignment with project goals. While AI tools may be used in the development process, the core function is not AI/ML model development but rather the engineering of systems that support search functionalities. | — | 5 |
| Software Engineer III, Speech Production, Infrastructure The role focuses on building and maintaining the serving infrastructure for Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) at Google. This involves developing and optimizing high-throughput, low-latency systems that manage bidirectionally-streaming data for compute-intensive models, ensuring reliability and efficiency for various Google products. | Serve | 5 |
| Software Engineer, Fuchsia Performance Software Engineer focused on performance optimization for the Fuchsia OS, leveraging AI-driven analysis and developing performance tools. Requires experience in C++, Python, SQL, and operating system internals. | — | 5 |
| AI Sales Specialist, Startups, Google Cloud AI Sales Specialist for Google Cloud, focusing on growing AI business with startups by building relationships, demonstrating product functionality, and identifying use cases. The role involves working with customers to deliver business value and build new products leveraging Google's AI solutions, including Gemini models and the Vertex AI platform. | — | 5 |
| Senior User Experience Researcher, Google Pay This role is for a Senior User Experience Researcher on the Google Pay team, focusing on shaping the product experience for SMB businesses. The role involves developing research roadmaps, leading research activities in a fast-paced environment, and applying mixed-methods research to influence product strategy. While the role is in the fintech domain and explores GenAI applications, the core function is UX research, not direct AI/ML model development. | — | 5 |
| Software Engineer III, Android, Chrome OS Software Engineer III on the User Assist team for Chrome OS and Android tablets, focusing on intelligent assistance, automation, and personalized support. The role involves building UI experiences, integrating with Gemini, and working on future AI integrations and productivity features. Responsibilities include engineering solutions, design, implementation, launch management, and code quality across Android framework, first-party apps, and server-side changes. | — | 5 |
| Software Engineer III, Mobile (Android), XR Google is seeking a Software Engineer III for their XR team to design, develop, and launch user-facing AI-driven experiences for Android XR devices. This role involves collaborating with cross-functional teams to bring features from concept to a shipping product, focusing on the convergence of AI and XR to augment human intelligence. | — | 5 |
| AI Sales Specialist, Media and Entertainment, Google Cloud AI Sales Specialist for Google Cloud's Media and Entertainment sector, focusing on building customer relationships, demonstrating AI product value, and driving business growth. The role involves identifying AI use cases, collaborating with product and engineering teams, and developing go-to-market strategies. | — | 5 |
| Staff Software Engineer, ML Fleet Systems Staff Software Engineer role focused on building and providing technical leadership for ML Fleet Systems, which involves general software engineering tasks like coding, testing, deploying services, and operational support for AI and Infrastructure teams at Google. The role contributes to the development of AI models and computing power at scale. | Serve | 5 |
| Field Sales Representative, AI/ML, Public Sector Field Sales Representative for Google Cloud's AI/ML offerings, focusing on the UK Public Sector. This role involves translating AI research into deployable solutions, architecting AI roadmaps for government accounts, conducting technical deep-dives, leading cross-functional teams for partnership frameworks, and ensuring AI solutions adhere to national policies and data governance standards. Requires extensive experience in enterprise B2B software sales to government clients and familiarity with AI/ML concepts and regulatory landscapes. | — | 5 |
| Staff Engineering Manager, Search Real World Journeys This role is for an Engineering Manager at Google Search, focusing on the Real World Journeys (RWJ) Infrastructure team. The team builds the platform that scales AI-forward search experiences in verticals like travel, local, and finance, supporting generative AI surfaces. The manager will lead teams, define technical roadmaps, and oversee the deployment of large-scale projects, ensuring low latency and high reliability for billions of users. | — | 5 |
| Staff Software Engineer, Vertex AI, Workbench Staff Software Engineer role focused on building foundational infrastructure for Gen AI agents within Vertex AI Notebooks on Google Cloud Platform. The role involves technical leadership, driving product initiatives, and designing developer tools, with a strong emphasis on backend infrastructure and distributed systems. | Agent | 5 |
| Software Engineer III, YouTube Ads, Traffic Prediction Software Engineer III at Google YouTube Ads focused on designing and implementing prediction models for YouTube creator bundles, contributing to traffic prediction within the advertising platform. Requires experience in software development, full-stack development, and data structures/algorithms. | Data | 5 |
| Staff Software Developer, Android XR System Apps Staff Software Developer for Android XR System Apps at Google, focusing on next-generation UI for XR devices. The role involves designing, prototyping, building, and launching new user experiences, incorporating emerging technologies like spatial interactions and AI-powered multi-modal conversational interfaces. The team is at the forefront of the convergence of AI and XR, aiming to augment human intelligence with personalized, conversational, and contextually aware experiences. | Agent | 5 |
| Vendor Strategy and AI Transformation Lead, GCP Support This role focuses on leading the strategy and transformation of Google Cloud Support's vendor operations, aiming to scale effectively and flexibly. It involves managing a global ecosystem of vendor partners, driving performance, and ensuring quality of service, with an emphasis on leveraging AI tools to optimize workflows and enhance deliverables. | — | 5 |
| Technical Program Manager, Science Automation, DeepMind Google DeepMind is seeking a Technical Program Manager to lead complex programs in Science Automation, focusing on lab automation in material science and life sciences. The role involves driving end-to-end planning and delivery, translating research into impact, and collaborating with multi-disciplinary teams and external partners. The position requires a strong technical background with an understanding of AI in the context of lab automation and research, and experience in program management. | — | 5 |
| RTL Design Engineer, Google Cloud, Silicon The role involves designing and implementing ASICs to accelerate machine learning computation in data centers, specifically for Google's AI platform (Vertex AI) and TPUs. The engineer will focus on microarchitecture, implementation, and collaboration with various hardware and software teams to deliver high-performance, efficient, and reliable silicon solutions. | Serve | 5 |