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).
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 544 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer, Android, Chrome Identity Senior Software Engineer on Chrome Identity team, focusing on Android mobile platforms. Role involves technical leadership, feature development for billions of users, and collaboration with UX/Product Managers. Requires experience with software development, mobile OS, and LLMs/NLP/Generative AI, with an emphasis on utilizing AI tools for development. | — | 5 |
| Senior Software Engineer, Vertex 1P GenAI SRE This role focuses on ensuring the reliability, scalability, and performance of Google's Vertex AI Generative AI platform, which serves both internal teams and Google Cloud customers. The Senior Software Engineer will be responsible for improving system architecture, resolving outages, and driving production excellence using SRE principles. | Serve | 5 |
| — |
| 5 |
| UX Researcher, Core, Data UX, AI Foundations This role is for a UX Researcher within Google's Core AI Foundations organization. The primary focus is on understanding and optimizing the workflows of ML researchers, data engineers, and AI/ML developers by conducting primary research, including field studies, interviews, and usability testing. The goal is to inform the design of next-generation AI-driven tools and agentic systems, ensuring products are useful, usable, and helpful. | — | 5 |
| Staff Software Engineer, Enterprise Product Strategy and Architecture Staff Software Engineer focused on defining and scaling enterprise-wide architectural standards, reference models, and patterns for data platforms and AI/ML capabilities within Google's Corporate Engineering. The role involves technical design consultations, architecture reviews, supporting the Enterprise Architecture Board, leading technical forums, and establishing reusable patterns for data ingestion, pipeline orchestration, model deployment, and generative AI integrations. The goal is to ensure alignment with long-term data scalability and enterprise AI safety, reduce redundancy, and accelerate delivery. | ServeData | 5 |
| Product Strategy and Operations Lead, Emergent AI infrastructure This role is a Product Strategy and Operations Lead for Emergent AI Infrastructure within Google's AI2 organization. The individual will focus on developing business and product strategies, driving strategic projects, and performing market, pricing, and costing analysis to support AI infrastructure development for Google Cloud Platform (GCP). The role requires experience in management consulting, product management, strategy, or analytics, with a background in AI infrastructure, Cloud, or Enterprise/B2B businesses. | — | 5 |
| Product Manager II, Ads Data Management Product Manager for Google Ads Data Management team, focusing on 0 to 1 products for advertisers to manage and activate their first-party data. The role involves defining product strategy, leveraging ML/modeling for measurement accuracy in a data-constrained environment, and navigating privacy-preserving techniques and regulatory changes. Requires experience in ad tech and taking technical products from conception to launch. | Ship | 5 |
| Technical Program Manager III, Gemini, Google Home Technical Program Manager III for Gemini, Google Home, focusing on foundational intelligence capabilities for Gemini-powered experiences. The role involves managing the full product lifecycle, driving software engineering schedules, and working with cross-functional teams. The TPM will also leverage AI tools to streamline program management processes. | — | 5 |
| Software Engineer, Supply Chain Systems Software Engineer role focused on building and maintaining supply chain systems for Google's technical infrastructure, leveraging technologies like Agentic AI. The role involves designing, developing, testing, and deploying code for critical hardware and supply chain operations, collaborating with partner teams, and troubleshooting complex issues. While AI/ML concepts are mentioned as familiar, the core function is software engineering for enterprise systems, not direct AI model development. | — | 5 |
| Quality Management System and Evidence Control Specialist This role focuses on managing the Quality Management System (QMS) and evidence control for digital health products, ensuring compliance with global regulatory requirements, particularly for AI in healthcare. The specialist will collaborate with engineering and product teams to translate technical workflows into compliance evidence and prepare for regulatory inspections and audits. While the role operates within the context of AI in healthcare, the core responsibilities are in quality management and regulatory compliance, not direct AI/ML model development or research. | — | 5 |
| Staff Software Engineer, App Ads Privacy Staff Software Engineer on the App Ads Privacy Team at Google, focusing on building next-generation identity resolution and attribution systems. The role involves designing privacy-focused infrastructure to maintain accurate measurement and app performance amidst industry shifts and global regulations, ensuring a balance between user trust and data utility for advertisers. | — | 5 |
| Product Manager, Cloud Database Product Manager for Google Cloud's AlloyDB for PostgreSQL portfolio, focusing on driving AI product strategy and roadmaps, engaging with customers, and partnering with engineering and research teams. Requires experience in product management within databases, analytics, or big data, with a preference for cloud database services and AI capabilities in data management. | — | 5 |
| Senior Product Manager, Cloud Database Senior Product Manager for Google Cloud's AlloyDB for PostgreSQL, focusing on driving product strategy and roadmap for database and AI capabilities. This role involves customer engagement, cross-functional collaboration with engineering and research, defining key business metrics, and communicating product strategy to executive leadership. The position requires experience in product management within databases, analytics, or big data, with a preference for cloud, developer tools, and AI in data management. | — | 5 |
| Developer Experience Engineer, DeepMind This role focuses on developer experience for Google DeepMind's GenAI product suite, advocating for developer success, driving adoption of models and tools, and shaping the developer ecosystem through launch materials, education, and technical outreach. It involves close collaboration with engineering, product, and research teams. | — | 5 |
| Software Engineer, Cloud Infrastructure Engineering Software Engineer role focused on Cloud Infrastructure Engineering, specifically on delivering efficient compute solutions for Google Cloud. The role involves optimizing resource usage, collaborating with data science teams on statistical modeling for capacity planning, integrating resource management tools, and developing new cluster management products. The work impacts both ML and non-ML use cases, aiming to improve compute and ML resource efficiency for financial and environmental benefits. | — | 5 |
| Content Strategist, gUp (Fixed-Term Contract) This role is for a Content Strategist focused on designing and managing help and support content for Google products. While the role involves using and providing feedback on AI-enabled content creation tools and staying updated on best practices for AI consumption of information, the core craft is not AI/ML model development or deployment. The primary output is content strategy and user support documentation. | — | 5 |
| Software Developer, Android, Glasses System UI Develops user-centric experiences and platform components for Android glasses, focusing on AI agent interfaces, system UI services, and novel interaction methodologies for augmented reality, collaborating with ML perception specialists. | Agent | 5 |
| Product Marketing Manager, Industry and Applied AI Product Marketing Manager for Industry and Applied AI at Google, responsible for end-to-end Go-to-Market strategy, messaging, and driving adoption of AI products for business decision-makers. Requires 6 years of marketing experience and understanding of applied AI concepts. | — | 5 |
| Software Engineer Manager, Foundational HTTP Serving Platform Manage a team of software engineers focused on Google's foundational HTTP serving platform, a critical piece of infrastructure. The role involves technical leadership, roadmap definition, and driving AI-assisted engineering practices within the team to improve development, testing, and operational support. | — | 5 |
| Staff Engineering Analyst This role focuses on analyzing the AI threat landscape in advertising traffic quality, identifying misuse vectors, and developing proactive mitigation plans. It involves collaborating with engineering and research teams to implement safety mitigations, improve ad traffic infrastructure using machine learning, and developing methods to incorporate AI models for quality operations and insights. The role requires strong data analysis, project management, and Python/SQL skills, with a focus on combating fraud and abuse in Google's ad products. | Agent | 5 |
| Senior Software Engineer, Discover Ads User Value Senior Software Engineer role focused on the user value of Discover Ads, involving engineering, data analysis, and product thinking to optimize ad auctions, inventory, and pricing. The role aims to improve advertiser, user, and Google values by leveraging product intuition, data insights, and research discoveries. It requires experience in software development, testing, and architecture, with a preference for experience in building and deploying recommendation systems. | ShipAgent | 5 |
| User Experience Designer, Agentic Software Development Life Cycle (English) This role is for a User Experience Designer focused on Agentic Software Development Life Cycle. The designer will transform complex tasks into intuitive user experiences, working with UX teams, Engineering, and Product Management. Responsibilities include participating in design critiques, learning new tools and AI literacy, and escalating barriers. Minimum qualifications include a Bachelor's degree, experience with design tools, and a portfolio. Preferred qualifications include experience with LLMs, prompt engineering, agentic AI systems, dynamic interfaces, and Generative AI tools. | — | 5 |
| Hardware System Architect, Pixel Watch This role focuses on architecting hardware systems for wearable products, specifically the Pixel Watch, to enable ambient and edge computing applications. The architect will define system design, ensure subsystems meet performance, power, and cost goals, and analyze data processing paths. Collaboration with internal teams, silicon vendors, and technology partners is key. The role involves defining system and component specifications, evaluating trade-offs, selecting chipsets, overseeing integration, and investigating emerging technologies. Experience with machine learning models and AI accelerators is preferred. | — | 5 |
| Research Data Scientist, YouTube Gaming Discovery Data Scientist role on YouTube Gaming Discovery team, focusing on helping gamers find content. Involves collaborating with stakeholders, designing and evaluating models, gathering data, and using tools like SQL and Python. Requires a Master's degree in a quantitative field and 3 years of experience in analytics, coding, and database querying. Preferred qualifications include experience with machine learning and recommender systems. | Ship | 5 |
| Program Manager, Social Media Strategy, DeepMind Program Manager for executive social media strategy at DeepMind, focusing on amplifying AI and scientific discovery thought leadership. This role involves developing and executing social media plans, translating complex technical information into engaging narratives, and coordinating with various internal teams and external producers. The goal is to grow the digital presence and impact of executive leaders in the AI space. | — | 5 |
| AI Adoption Customer Engineer 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, addressing technical blockers, identifying new AI use cases, and ensuring sustainable product usage. Requires experience with cloud-native enterprise architecture, AI/GenAI solutions, multi-agent workflows, and RAG systems. | Agent | 5 |
| Product Counsel, AI Regulatory, DeepMind Product Counsel for AI Regulatory at DeepMind, advising on legal and policy for AI development and deployment, collaborating with cross-functional teams, and using AI tools to enhance work. Requires JD and experience in AI and related legal fields. | — | 5 |
| Strategic Partner Program Manager, Gemini API and AI Studio, DeepMind This role is a Strategic Partner Program Manager for the Gemini API and AI Studio team at Google DeepMind. The role focuses on driving internal processes, headcount planning, and organizational rhythm to ensure velocity and operational excellence. It involves managing operational systems, representing leadership in forums, tracking key indicators like developer adoption and API performance, and leading operational execution for major industry milestones. The role requires significant experience in strategy, operations, and scaling within a technology company, with a preference for experience in AI/ML platforms. | — | 5 |
| Lead Product Manager, Google Home User Data Product Manager for Google Home User Data, focusing on controls, permissions, disclosures, consents, data takeout, and data donation for AI-first/Gemini-based features and agentic product offerings. This role involves driving strategy for data acquisition and serving as a point of contact for regulatory and user data related changes. | Agent | 5 |
| Senior Silicon Validation Engineer, Volume Production and Yield This role focuses on silicon validation for high-volume production and yield optimization. While it leverages AI/ML tools for data analytics and yield improvement, the core function is hardware engineering and manufacturing, not the direct development or research of AI models themselves. The role involves transitioning silicon designs into manufacturing, monitoring yield, performing failure analysis, and collaborating with cross-functional teams to ensure product quality and efficiency. | — | 5 |
| Eye Tracking Systems Staff Software Engineer Staff Software Engineer for Google's XR Perception team, focusing on eye tracking systems for AR/VR. The role involves technical leadership, algorithm design, and software development for compute-constrained Android devices, with an emphasis on integrating generative AI and LLM interfaces into workflows. | Serve | 5 |
| Staff Embedded Software Engineer, Audio/Firmware Staff Embedded Software Engineer for Google's Android microXR project, focusing on audio firmware for AR smart glasses. The role involves developing and optimizing audio systems, integrating with ML teams, and supporting AI-driven use cases within an embedded, real-time context. | Serve | 5 |
| Software Engineer, Parallel File Systems, AI/ML Storage Software Engineer role focused on building and optimizing distributed file systems for AI/ML workloads, specifically generative AI and real-time inference, aiming for extremely high throughput (10TB/s). The role involves developing APIs, designing distributed systems, implementing data protection, performance improvements, and cost optimizations for large-scale storage infrastructure. | — | 5 |
| ASIC Physical Design Tools, Flows, Methodologies Manager Manage and lead a team of TFM engineers responsible for the physical design flows that power Google's Tensor Processing Unit (TPU) products. This role involves guiding the team in developing, deploying, and supporting an RTL-to-GDS infrastructure, bridging design engineering and EDA capabilities, and managing priorities to ensure silicon delivery for AI/ML hardware acceleration. | — | 5 |
| Software Engineer, Cloud HPC and Accelerator Networking Software Engineer on the Cloud HPC and Accelerator Networking team responsible for the guest networking stack for Google Cloud's GPU, TPU, and HPC virtual machines. The role involves designing, developing, and delivering high-performance, reliable networking for customers training AI models and running demanding HPC workloads. This includes leading the specification, design, and delivery of networking for next-generation accelerator machines. | — | 5 |
| Customer Engineer, AI Infrastructure Modernization, Google Cloud Customer Engineer focused on AI infrastructure modernization, helping customers deploy and optimize Google Cloud's AI accelerators (TPUs/GPUs) for training and inference. This role involves deep technical expertise in cloud-native architectures, networking, and AI/ML frameworks, acting as a trusted advisor to enterprise clients. | ServeData | 5 |
| Software Developer III, Android XR Software Developer III, Android XR role focused on building factory software and the Android XR Calibration Service for measuring and maintaining calibration data for XR devices. The role involves developing components in C++, Rust, and Java, collaborating with hardware teams, and accounting for physical hardware variability. It also mentions using AI-based tools to accelerate development and the convergence of AI and XR for augmented human intelligence. | — | 5 |
| Director, Outbound Product Management, Cloud Computing Director of Outbound Product Management for Google Cloud, focusing on AI infrastructure (GPUs, TPUs), standard compute, and orchestration. The role involves shaping go-to-market strategies, customer relationships, and external messaging to position Google Cloud as the leading platform for AI. Responsibilities include competitive positioning, cross-functional partnerships, analyst relations, and driving customer growth campaigns. | — | 5 |
| Senior Product Manager, YouTube Shorts Ads Product Manager for YouTube Shorts Ads, focusing on maximizing monetization efficiency by understanding user behavior, identifying new ad opportunities, and driving experimentation with new ad formats. Collaborates with engineering, UX, data science, finance, and sales to define strategy and roadmap, and works with ads infrastructure teams (retrieval, ranking, auction, quality) to evolve systems. | — | 5 |
| AI Adoption Customer Engineer, Google Cloud (English, Korean) 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, identifying new use cases, and accelerating customer time-to-value through technical problem-solving and architectural guidance. | Agent | 5 |
| Senior UX Designer, Social Responsibility, Search Senior UX Designer for Google Search's Social Responsibility team, focusing on designing trustworthy, AI-first experiences for critical information needs (crisis response, sustainability, civics). The role involves the full UX spectrum from concept to execution, collaborating with PMs and engineers, and shipping scalable interfaces. Requires experience with AI concepts and leveraging AI tools in the design process. | — | 5 |
| AI Advocate, Cloud AI, Greater China (English, Mandarin) This role is an AI Advocate for Google Cloud AI in Greater China, focusing on promoting Google AI technologies to developers. Responsibilities include writing sample code, participating in developer forums, troubleshooting, providing feedback to product teams, and driving strategy for developer communities. The role requires strong technical skills in programming languages with a focus on ML/Gen AI applications, and excellent communication in Mandarin and English. | — | 5 |
| Senior Software Engineer, Information Security Engineering Senior Software Engineer role focused on information security, involving the development of tools for product security consulting, response, and research, with a specific emphasis on AI agents. The role requires designing and implementing Go and Python AI agents, building new features on internal systems, and contributing to technical roadmaps. Experience with AI is preferred. | Agent | 5 |
| Senior Software Engineer, TV Systems Performance Senior Software Engineer focused on performance tuning for TV systems and device ecosystems, optimizing Reference Designs, and partnering with vendors and cross-functional teams. The role involves evolving Gemini-assisted tools for performance analysis and leading evaluations for industry shifts. Requires experience in software development, Android application development, and large-scale systems data analysis. | — | 5 |
| Customer Engineer, Federal Civilian Agencies, Google Public Sector Customer Engineer for Google Public Sector, focusing on partnering with technical sales teams to help government agencies understand and adopt Google Cloud solutions, including AI and GenAI. Responsibilities include technical problem-solving, solution architecture, customer relationship building, and demonstrating Google Cloud products. | — | 5 |
| Senior GPU Software Engineer, System Software, AI Infrastructure This role focuses on developing and maintaining the system software stack for GPUs, which are critical for powering various Google services including AI infrastructure. The engineer will provide technical leadership, drive integration of next-generation GPU accelerators, and ensure the reliability and performance of these systems within Google's data centers. While the role supports AI infrastructure, the core craft is in GPU system software engineering, not direct AI/ML model development. | — | 5 |
| Engineering Manager, Operations Intelligence, gUP Engineering Google is seeking an Engineering Manager for their new Operations Intelligence team. This role will build and lead a team focused on automating the content lifecycle using data and automation, including ML/NLP. The manager will define technical strategy, oversee development, and partner with various stakeholders to deliver impactful solutions. The role requires strong software development, technical leadership, and people management experience, with a preference for experience in large-scale data processing and Generative AI. | Ship | 5 |
| Tech Lead, YouTube Main App Services Tech Lead for YouTube's core server infrastructure, responsible for technical strategy, leading an engineering team in architecting high-performance, scalable solutions, and driving innovation in machine learning for personalization. Focus on user experience and enabling global feature launches. | Ship | 5 |
| Senior Business and Marketing Data Scientist This role focuses on developing evaluation frameworks, data pipelines, and QA processes for business data, with a secondary focus on utilizing Generative AI, LLMs, or Machine Learning. The primary output is data organization and reporting for business insights, rather than direct AI model development. | — | 5 |
| Staff Software Engineer, Flume ML This role is for a Staff Software Engineer on the Flume ML team at Google Cloud, focusing on managing and evolving planet-scale data processing infrastructure that powers foundational ML features and next-generation AI initiatives. The primary objective is to advance scheduleability and auto-tuning capabilities for massive-scale ML pipelines and data workloads, bridging complex infrastructure with cutting-edge products. The role involves technical leadership, influencing and coaching engineers, managing projects, and designing/developing large-scale software solutions. | Data | 5 |
