Currently tracking 514 active AI roles, with 1186 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google has 584 active AI-related job listings. The majority of these roles are focused on agents, representing 40% of the total, and serving infrastructure, at 26%. The most frequent technical tags include model_serving, agent_orchestration, and evals. Over the last 30 days, Google has added 413 new AI roles, a 105% increase compared to the preceding 30-day period.
Google currently has 607 active AI-related roles in our index. The most common open titles are: Software Engineer (4), AI Adoption Customer Engineer, Google Cloud (3), Senior Software Engineer (3), AI Outcome Customer Engineer, Cloud AI Tech GTM (2), Conversational AI Consultant (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (26%), 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 (388 roles), India (50 roles), Singapore (43 roles), Poland (23 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 605 new AI-related roles. That is a +29% change versus the prior 30 days (469 → 605).
| Title | Stage | AI score |
|---|---|---|
| Hardware Architecture Modeling Engineer, PhD, University Graduate This role focuses on developing architectural and micro-architectural models for next-generation TPUs (Tensor Processing Units) to enable quantitative analysis of performance and power. The engineer will contribute to Machine Learning workload characterization, benchmarking, and hardware-software co-design, collaborating with various teams to define TPU chip specifications and roadmaps for AI/ML hardware acceleration. | Serve | 7 |
| Software Engineer III, AI/ML Recommendations, Rankings, Predictions, YouTube Software Engineer III at Google working on AI/ML Recommendations, Rankings, and Predictions for YouTube. The role involves writing product/system code, collaborating with peers, contributing to documentation, triaging issues, and building/deploying recommendation systems models using ML infrastructure, with a focus on model optimization and data processing. Requires a Bachelor's degree, 2 years of Python/C++ experience, 1 year of experience building/deploying recommendation systems, and 1 year of ML infrastructure experience. |
| ShipData |
| 7 |
| Software Engineer, PhD, Early Career, 2026 Google is seeking a PhD Software Engineer with expertise in AI/ML and large-scale distributed systems to design, test, deploy, and maintain software solutions for AI and Infrastructure (AI2) organization. The role involves defining technical goals, developing scalable systems, applying research expertise to complex problems, and contributing to essential Google services and Cloud products. | Serve | 7 |
| Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube Staff Software Engineer at Google working on AI/ML for YouTube Recommendations, Rankings, and Predictions. The role involves designing, developing, and deploying large-scale software solutions, providing technical leadership, and optimizing ML infrastructure. Key responsibilities include leading the design and implementation of recommendation systems, optimizing ML infrastructure, and guiding model architecture development. Requires significant experience in building and deploying recommendation systems models in production and leading ML design and optimization. | ShipAgent | 7 |
| Design Verification Engineer, PhD, Early Career This role focuses on the design and verification of AI/ML hardware accelerators (TPUs), involving architecture definition, performance modeling, RTL design, and hardware/software co-design. The engineer will work on optimizing ML workloads and developing efficient design verification strategies for next-generation TPUs, leveraging AI techniques for physical design convergence. | Serve | 7 |
| Software Engineering Manager II, AI/ML Recommendations, Rankings, Predictions, YouTube Software Engineering Manager II for AI/ML Recommendations, Rankings, and Predictions at YouTube. This role involves leading a team of engineers, setting team priorities, developing technical roadmaps, designing and implementing recommendation systems, optimizing ML infrastructure, and guiding model architecture development. Requires experience in software development, ML design, ML infrastructure optimization, building and deploying recommendation systems, and technical/people leadership. | ShipServe | 7 |
| Student Researcher, PhD, Winter/Summer 2026 Student Researcher (PhD) position at Google, focusing on exploratory research projects to advance scientific understanding and develop next-generation intelligent systems. The role involves participating in research to solve real-world, large-scale problems, with opportunities across various Google research teams. | Pretrain | 7 |
| Student Researcher, BS/MS, Winter/Summer 2026 Student Researcher Program at Google focusing on academic collaborations and scientific advancement in AI and other research areas. Students will work on exploratory projects to develop solutions for real-world, large-scale problems, potentially contributing to next-generation intelligent systems. | Pretrain | 7 |
| Student Researcher, BS/MS, Winter/Summer 2026 Student Researcher role at Google focused on participating in research projects to develop solutions for real-world, large-scale problems, advancing the state of the art in computing and building the next generation of intelligent systems. Projects are exploratory and drive scientific advancement across multiple research areas, utilizing the latest computer science techniques. | Pretrain | 7 |
| Senior Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube Senior Software Engineer focused on building and deploying recommendation systems models for YouTube, leveraging ML infrastructure and contributing to architecture design. This role involves coding, testing, debugging, and designing models for retrieval, prediction, ranking, and personalization. | ShipData | 7 |
| Software Engineering Manager II, Google Cloud Software Engineering Manager II for Google Cloud's AI and Infrastructure team, focusing on delivering AI and Infrastructure at scale. The role involves technical leadership, team management, setting priorities, developing roadmaps, and guiding system designs, with a focus on enabling advanced AI models and delivering computing power. | Serve | 7 |
| Software Engineer, PhD, Early Career, Campus, 2025 Start Software Engineer with a PhD, focusing on AI/ML infrastructure and systems within Google Cloud. The role involves writing product/system development code, participating in design reviews, reviewing code, contributing to documentation, triaging and debugging complex technical issues, and collaborating on design, analysis, and development across the stack. The focus is on building and scaling AI/ML capabilities on Google's frameworks and infrastructure, contributing to products used by billions. | Serve | 7 |
| Software Engineer, Early Careers, PhD, Cloud AI Software Engineer role focused on implementing and designing Search features, leveraging advanced GenAI capabilities and LLM concepts, with a focus on Kubernetes-based infrastructure for scalability and performance. | Serve | 7 |
| Software Engineer, Systems Research, PhD, Early Career Google is seeking a Software Engineer for Systems Research with a PhD to explore emerging technologies and systems, design and build prototypes for data center and cloud environments including machine learning, and influence products by operating across research and engineering teams. | Serve | 7 |
| Technical Program Manager III, Machine Learning Portfolio, Cloud Networking Technical Program Manager III for Google Cloud's Machine Learning Portfolio, focusing on Network Delivery Execution. This role is accountable for translating strategic capacity plans into reliable network deployments for ML products, requiring strong program management, stakeholder communication, and experience with ML infrastructure and data centers. | — | 5 |
| Customer Engineer III, Platform, Startup, Google Cloud Customer Engineer III for Google Cloud Platform, focusing on technical sales and solution architecture for startups. The role involves understanding customer challenges, architecting cross-pillar cloud solutions, and driving technical wins. While not directly building AI models, the role requires deep domain expertise in AI/GenAI inferencing and GPU infrastructure, indicating a strong AI-adjacent focus. | — | 5 |
| Senior Software Engineer, Home Infrastructure, Frontend and Protocols Senior Software Engineer role focused on the frontend and protocols for Google Home, connecting smart home devices with LLM-powered services. The role involves re-evaluating device connectivity, supporting production infrastructure, migrating traffic to newer protocols, deprecating legacy systems, and implementing AI capabilities for infrastructure migrations. It requires experience with large-scale infrastructure, distributed systems, and software development, with a preference for smart home/IoT or voice assistant domain experience. | AgentServe | 5 |
| AI Outcome Customer Engineer, Cloud AI Tech GTM Customer-facing role focused on driving adoption and value realization of Google Cloud AI solutions for enterprise customers. Responsibilities include technical deployment planning, architectural validation, debugging complex workflows, and acting as a liaison between customers and product/engineering teams to ensure successful production deployments and ongoing usage. | ServeAgent | 5 |
| AI Outcome Customer Engineer, Cloud AI Tech GTM Customer Engineer role focused on driving adoption and value realization of Google Cloud AI solutions for enterprise customers. This involves technical deployment planning, architectural validation, debugging, and acting as a bridge between customers and product/engineering teams to ensure successful production deployments of AI models and agents. | ServeAgent | 5 |
| Staff Software Engineer, Search Content Platforms Staff Software Engineer role focused on Google's Search Content Platforms, aiming to build a platform that leverages AI to organize and deliver content for Search experiences. The role involves driving technical problems, establishing content services, and collaborating with leaders to enhance engineering excellence. It requires extensive full-stack development experience, software architecture, and ETL/data architecture. | — | 5 |
| Certification Exam Manager, Cloud Learning Services (English) Manage the development and maintenance of Google Cloud Certification exams, working with subject matter experts and utilizing AI tools to enhance exam development workflows and processes, while ensuring test security and continuous improvement. | — | 5 |
| Innovation Consultant, Public Sector, Google Cloud This role focuses on guiding public sector and defense customers in adopting AI to achieve mission outcomes. The consultant will work with executives to redesign organizational functions and implement AI-augmented operating models, leveraging Google Cloud's agentic AI. Key responsibilities include leading transformation initiatives, translating technical concepts into business value, developing roadmaps for AI impact, and designing governance frameworks for hybrid human-agent workforces in regulated environments. Experience with AI/ML platforms and a product management background are preferred. | — | 5 |
| Staff Software Engineer, Gemini Enterprise Mobile Staff Software Engineer focused on building the Gemini Enterprise mobile application for iOS and Android. This role involves integrating Gemini's reasoning capabilities with enterprise data to help employees accomplish tasks, acting as a single destination for enterprise search, assistant, and agents. The application is critical for large customer agreements and front-line workers. | Ship | 5 |
| Product Technology Manager, gDATA Product Technology Manager for gDATA team at Google, focused on making Google Ads products more usable through ML, forecasting, and generative AI. The role involves aligning data science and data engineering resources, leading roadmap development, and ensuring governance for data products like ML models and AI insights engines, aiming to improve quality and efficiency by leveraging AI. | Ship | 5 |
| Senior UX Designer, AI Personalized Experiences Senior UX Designer focused on personalizing Google Search's Discover surface using AI, requiring collaboration with PMs and engineers, and leveraging user insights to create industry-leading products. The role involves concept work, pitching ideas, and executing launches, with a focus on visual and AI-driven personalized experiences. | — | 5 |
| Staff Software Engineer, Search Local Ads Data Platform Staff Software Engineer role focused on the Google Ads Data Platform, specifically serving and data infrastructure for location and call data. The role involves designing and developing large-scale software solutions, including next-generation serving infrastructure, and leveraging AI for content generation and ad serving decisions. Experience with full-stack development, software design, and integrating generative AI tools is required. | ServeAgent | 5 |
| Product Manager I, YouTube Growth Platform Product Manager for YouTube's Growth Platform, focusing on a self-service campaign management system to drive product growth and discovery. The role involves defining the roadmap, partnering with engineering and marketing, and exploring the use of generative AI for campaign ideation. | — | 5 |
| Customer Engineer, Google Cloud Platform, SMB (English, Japanese) This role is for a Customer Engineer on Google Cloud Platform, focusing on SMB clients in Tokyo. The primary responsibilities involve technical problem-solving, supporting sales, and building customer relationships. While the role requires experience with data and AI, including generative AI and agentic AI solutions, its core function is not to build or ship AI models but to leverage Google Cloud's offerings, including AI capabilities, to solve customer business problems. | — | 5 |
| Fullstack Web Developer Google is seeking a Fullstack Web Developer to work on the Chat Platform, contributing to the development of AI-powered productivity tools. The role involves end-to-end development across backend and client platforms, collaborating with product leads and UX, and working with AI model builders to shape the future of productivity tools. | — | 5 |
| Junior Marketing Manager, Google UKDEEP, Strategy and Operations (Fixed-Term Contract) This role is for a Junior Marketing Manager at Google UKDEEP, focusing on Strategy and Operations. The position involves understanding the UK market, supporting marketing campaigns, managing budgets, and defining success metrics. The role requires experience working with AI tools and a passion for Google's AI products. | — | 5 |
| Senior Software Engineer, Payments Data Platform This role focuses on building and evolving the core data infrastructure and tooling for Google's Payments Data Platform (GDP). The platform supports advanced analytics, AI personalization, and agentic experiences, aiming to unlock the potential of Payments data for reliable, compliant, and scalable data infrastructure. The engineer will design and implement data pipelines, own technical areas, and drive technical strategy for data management. | Data | 5 |
| Financial Analyst, Generative AI This role focuses on the financial analysis and strategic decision-making related to Generative AI technologies within Google's Search and K&I organization. The Financial Analyst will lead financial evaluations, build financial models, provide guidance on partnerships and remuneration structures, and quantify the financial impact of GAI products like AI Overviews and AI Mode. The role requires collaboration with cross-functional teams and involves managing resource allocations for evolving AI products. | — | 5 |
| Senior Strategist, Scams and Verification Trust and Safety Senior Strategist role focused on protecting users from offline scams by using data, applied AI, and machine learning to optimize human review, identify enforcement gaps, and develop automation opportunities. The role involves collaborating with engineers to develop algorithms and solve quality issues end-to-end, with a focus on driving projects that increase user safety and provide a better online experience through Google Ads. | Agent | 5 |
| Data Scientist, GenAI Strategy and Operations, DeepMind This role focuses on strategy and operations for a GenAI team, using data science and analytical methods to define metrics, build dashboards, and advise leadership. While the team works on GenAI, the role itself is not directly building or shipping AI models but rather supporting the operational aspects. | — | 5 |
| Ads Solutions Engineering Manager, gTech Lead a team of Customer and Partner Solutions Engineers to develop and scale advertising solutions for customers, focusing on technical implementation, optimization, and engineering solutions. Provide thought leadership and develop new AI solution offerings, driving automation and integration with AI for complex workflows. | — | 5 |
| Android Application Engineer, Google Fi This role is for an Android Application Engineer at Google Fi Wireless. The engineer will be responsible for architecting core features, enhancing functionality for millions of users, and leading junior engineers. While the team applies Google's AI to solve problems and offers opportunities to build applied AI skillsets, the core responsibilities of this role are focused on Android application development, telephony expertise, and optimizing release management, rather than directly building or researching AI models. | — | 5 |
| Graphics/Machine Learning Hardware IP Silicon Architect This role focuses on architecting and integrating custom silicon solutions for Google's consumer products, specifically targeting hardware IP for Graphics, Multimedia, and Machine Learning acceleration. The individual will collaborate with software and hardware teams to define and deliver ASIC IP architectures that meet power, performance, and area targets, from initial design through to product launch. Experience with low-power ASIC hardware IP for complex SoCs, particularly in Graphics Processing and Machine Learning Acceleration, is preferred. | Serve | 5 |
| Technical Program Manager III, Executive Communications, Cloud AI Technical Program Manager for Google Cloud's AI resource governance team, focusing on communication and strategic alignment for AI product compute allocation across Google's AI ecosystem. | — | 5 |
| Customer Engineer, Cloud AI, Financial Services, Google Cloud Customer Engineer specializing in Cloud AI for the Financial Services industry. This role partners with technical sales teams to accelerate customer adoption of Google Cloud AI solutions. Responsibilities include developing prototypes, proofs-of-concept, and demos, providing technical consultation, and acting as a liaison between customers and product/engineering teams to address feature requests and issues. The role requires strong customer-facing and technical sales skills, with a focus on understanding customer needs and demonstrating the value of Google Cloud's AI portfolio. | — | 5 |
| Software Engineer II, External API Security Software Engineer II focused on External API Security at Google, developing and improving AI-assisted vulnerability scanning systems and automated checkers. The role involves collaborating with core infrastructure and product teams to establish secure-by-default API deployment architectures and reduce risk, as well as developing infrastructure for security policy enforcement and monitoring. Experience with agent-based AI systems is preferred. | Agent | 5 |
| Staff Research Data Scientist, Search Ads GenAI Staff Data Scientist role focused on Generative AI (GenAI) projects within the Search Ads organization, specifically on the AI mode surface. The role involves guiding product development and executive decisions using data science, experiment design, and data analysis to measure impact, identify growth opportunities, and understand trade-offs. The primary focus is on driving long-term value for Google's business through AI-driven product improvements in ads. | Ship | 5 |
| Software Engineer II, Infrastructure Software Engineer II, Infrastructure role focused on building and maintaining Kueue, a Kubernetes scheduler for AI/ML workloads, managing accelerators like TPUs and GPUs. The role involves algorithm design, system performance, and Kubernetes internals, collaborating with internal and external AI partners and the open-source community. | Serve | 5 |
| Senior Research Data Scientist, Ads Insights and Measurement This role focuses on applying quantitative methods, including machine learning and causal inference, to analyze and improve Google's advertising products. The primary goal is to understand advertising effectiveness, user behavior, and campaign performance at scale, translating data-driven insights into deployed products. | — | 5 |
| Finance Analyst, Geo Expansion This role is for a Finance Analyst focused on global expansion for Google Cloud Platform (GCP), specifically supporting the financial planning and analysis for infrastructure, new product launches, and market entries. The role involves financial modeling, forecasting, cost analysis, and partnering with leadership. While the role leverages AI tools for financial processes and considers AI infrastructure costs, it is not a core AI/ML development role. | — | 5 |
| Software Engineer III, Looker Developer Infrastructure and Tooling The role focuses on building and maintaining infrastructure, CI/CD pipelines, and tooling for the Looker engineering organization, with a specific emphasis on transitioning to Agentic Development. This involves inventing next-generation Dev AI capabilities, embedding code assistants, and agentic debugging frameworks into developer environments and pipelines. | Agent | 5 |
| Federal Go-To-Market Lead, AI Infrastructure, Google Public Sector This role drives business growth for Google Public Sector's AI Infrastructure business by forging partnerships and engaging with Federal customers. It involves collaborating with internal teams and C-suite executives to develop and execute Go-to-Market strategies for AI Infrastructure solutions, focusing on TPU/GPU sales and strategic customer relationships within the US Federal government. | — | 5 |
| Platform Technical Leader, Statera This role is for a Platform Technical Leader focused on load balancing infrastructure for AI workloads, connecting AI models and agents. The responsibilities include driving data plane performance, optimizing scalability, advocating for GKE, expanding network protocols (IPv6, HTTP/3), and strengthening DoS protection. The role requires significant experience in C++, software development, large-scale infrastructure, and distributed systems, with a focus on technical leadership. | Serve | 5 |
| Practice Customer Engineer, Data and Analytics, Google Cloud Customer Engineer for Google Cloud's Data and Analytics practice, focusing on large enterprise accounts. The role involves partnering with technical business teams to showcase Google Cloud's data analytics and intelligent systems capabilities, designing cloud architectures, and leading proofs-of-concept. Responsibilities include troubleshooting data lifecycle issues, ensuring ML-ready infrastructure, and driving product adoption. The role requires strong technical, communication, and organizational skills, with a focus on differentiating Google Cloud from competitors. | — | 5 |
| Staff Software Engineer, Accelerator Platform Software Staff Software Engineer on the Accelerator Platforms and Laboratory Team at Google Cloud, focusing on foundational hardware and low-level software for accelerator-to-host connectivity. The role involves onboarding co-accelerators, designing and implementing system software (firmware, kernel drivers), developing tests and telemetry, debugging complex system-level challenges, and providing technical leadership. The team is part of the AI and Infrastructure group, supporting AI model development and computing power for Google's services. | — | 5 |
| Senior Virologist, DeepMind This role focuses on developing and executing biology evaluations to test the safety of AI models, specifically LLMs, and driving the development of harm frameworks and mitigation strategies. The individual will collaborate with experts in science, AI ethics, policy, and safety, and communicate results to decision-makers. The role requires a PhD in virology or equivalent, with experience in biosecurity principles at the intersection of microbiology and AI safety, including LLM risk assessments. | Eval Gate | 5 |
