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 526 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 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, Infrastructure, CoreOS Agentic Engineering The role focuses on applying AI and agentic engineering principles to optimize Google's CoreOS compute infrastructure. Responsibilities include conceptualizing AI strategies, building tools for kernel quality insights, managing fix rollouts, designing tests, debugging kernel issues, and providing technical leadership. The role involves a mix of exploration, engineering, and productionization, aiming to revolutionize how CoreOS is worked on, tested, released, and supported using AI. | Agent | 7 |
| Technical Program Manager, Google Cloud Applied AI This role is for a Technical Program Manager focused on building high-impact AI agents for enterprise clients within Google Cloud. The TPM will elicit business requirements, conduct A/B testing and PoCs, collaborate with Data Science and Engineering on data pipelines for ML models, and ensure solutions address supply chain bottlenecks. They will also manage a team of TPMs, including resource allocation and hiring. The role involves integrating generative AI solutions into business processes and agent-based modeling. |
| Agent |
| 7 |
| UX Engineer, Robot Infrastructure, DeepMind UX Engineer for Robot Infrastructure at DeepMind, focusing on human-robot interaction, teleoperation, and collaboration with autonomous agents. The role involves architecting full-stack web applications for robotics fleet management and ML training data systems, partnering with ML researchers and engineers to create seamless user experiences, and adapting to emerging AI capabilities. | AgentData | 7 |
| Engineer Manager, Google Distributed Cloud and Sovereign Cloud Manager for engineering teams building and deploying AI infrastructure for Google Distributed Cloud and Sovereign Cloud, focusing on GenAI, air-gapped runtimes, and optimizing inference performance in regulated environments. | ServeAgent | 7 |
| Engineering Manager, ML Infrastructure Engineering Manager for ML Infrastructure, focusing on fleet-wide scheduling for Alphabet's ML workloads. This role involves leading a team, setting technical roadmaps, and ensuring efficient, reliable, and easy-to-use scheduling for ML tasks across production machines, supporting services like Vertex AI and Gemini models. | Serve | 7 |
| Senior Staff Software Engineer, Search Ads Bidding Senior Staff Software Engineer focused on building and growing the adoption of next-generation bidding technology and products for Search Ads, leveraging ML and Generative AI for optimizations. This includes developing full-stack backend software, implementing sustainable systems and data pipelines, and launching advertiser-facing products and backend improvements. | Ship | 7 |
| Threat Intelligence Engineer, Cloud This role focuses on engineering and scaling systems for threat intelligence within Google Cloud. It involves designing APIs for data ingestion, developing web scrapers for dark/deep web monitoring, and architecting data pipelines that use ML/LLMs to process unstructured web content into structured intelligence. The role also includes deploying and maintaining highly available services and collaborating with threat analysts and data scientists. | DataAgent | 7 |
| Senior Data Scientist, Core Ranking and AI Context Senior Data Scientist role focused on Core Ranking and AI Context Engineering (CRAFT) for Google Search, AI Overview, and AI Mode products. The role involves identifying quality and metric headroom, conducting analyses, applying statistical/AI methods, developing and automating evals and measurements for iterative improvements, and partnering with engineering and product teams to drive system changes and launches. The position requires a Master's degree in a quantitative field and 5 years of experience in analytics and coding, with preferred experience in consumer-facing products and evaluation methodologies. | Eval GateShip | 7 |
| Software Engineer III, AI/ML, AI and Infrastructure Software Engineer III on the AI and Infrastructure team at Google, focusing on delivering AI and Infrastructure at scale. Responsibilities include writing code, collaborating on design and code reviews, triaging issues, and implementing ML solutions with a focus on ML infrastructure, model optimization, and data processing. Requires experience in Python/C++, ML infrastructure, and a specialization in areas like speech/audio or reinforcement learning. | ServeData | 7 |
| Manager, Support Enablement, Platform Solutions and Delivery, Cloud Support Manager role focused on transforming support tooling from assisted to autonomous support by leading the Agentic AI strategy. This involves governing the federation of AI agents, designing governance and maintenance processes, and bridging operations and engineering to build solutions for case management, troubleshooting, and workflow automation. | Agent | 7 |
| Software Engineering Manager, Databases, Google Cloud Software Engineering Manager for Google Cloud's Database Intelligence Platform team, focusing on delivering AI-powered database management, AI-assisted journeys, and intelligent agents for monitoring and troubleshooting. The role involves technical leadership, team management, and collaboration across multiple database teams within GCP. | Agent | 7 |
| Software Developing Manager, XR System Experiences Manager for a team building the core next-generation user interface for XR Glasses, focusing on the convergence of AI and XR to create augmented human intelligence experiences. The role involves technical leadership, team management, product strategy, and overseeing the development of novel user interfaces in an emerging technical space. | Ship | 7 |
| AI Solutions Lead, Sales Workflows, Devices and Services This role focuses on architecting and guiding the AI intelligence strategy for Demand Planning and promotion management systems within Google's Platforms and Devices organization. The goal is to create an AI-native future for commercial platforms by enabling teams, processes, and AI Agents to work together. The Lead will design predictive decision models and actionable insights to enhance business growth and operational efficiency, modernize planning workflows, and improve demand forecast accuracy by leveraging AI. Responsibilities include defining AI goals, product needs for AI-driven tools, leading cross-functional teams to integrate AI into demand planning, implementing solutions using low-code and agentic frameworks, and defining KPIs for AI solutions. | Agent | 7 |
| Outcome Customer Engineer, Google Cloud Customer Engineer role focused on deploying and scaling Gemini Enterprise AI workloads for enterprise customers, involving technical unblocking, deployment planning, and driving adoption of AI-assisted workflows and multi-modal agents. | Agent | 7 |
| Senior Software Engineer, Enterprise Data Protection Senior Software Engineer role focused on building AI-based security controls to prevent data exfiltration, specifically addressing threats from autonomous AI agentic actions within Google's enterprise systems. | Agent | 7 |
| Software Engineering Manager, Content Safety, Productionization Manage a team of software engineers to build and scale content safety solutions using ML/AI techniques for Google's core products, focusing on protecting users from harmful content. This involves technical leadership, people management, and ensuring the production-grade deployment and operation of these safety systems. | ShipServe | 7 |
| Software Engineering Manager, Content Safety, Infra Software Engineering Manager for Content Safety, focusing on AI/ML infrastructure and deployment for protecting users from harmful content. The role involves leading teams, setting technical direction, and ensuring the scalability and reliability of ML systems. | ServePost-train | 7 |
| Data Scientist Manager, Research, App Ecosystem and Trust Manager for a Data Science Research team focused on protecting Android users from AI-driven threats like malware and impersonation. The role involves leading technical strategy, identifying impactful data science problems, and driving the development of advanced quantitative methods, including ML modeling, to create data-driven products and solutions. This involves cross-functional collaboration with Engineering and Product leaders to translate research into business decisions. | Ship | 7 |
| Software Engineer, YouTube Ads, Machine Learning Software Engineer role at Google YouTube Ads focusing on Machine Learning. Responsibilities include writing product/system development code, collaborating with peers, contributing to documentation, triaging issues, and implementing ML solutions. Requires experience with ML infrastructure, model optimization, data processing, and specific ML areas like speech/audio or reinforcement learning. | Serve | 7 |
| Senior Staff Software Architect, GPU Uber Tech Leads Senior Staff Software Architect role focused on the software stack above firmware for Google's AI and HPC infrastructure, specifically concerning distributed systems, Linux OS, networking, and power management for accelerator platforms like GPUs and TPUs. The role involves technical leadership, architecture definition, and driving large-scale technical programs from concept to deployment to enable massive-scale AI and Cloud services. | Serve | 7 |
| Customer Engineer, AI Infrastructure Modernization TPU, Google Cloud Customer Engineer for Google Cloud AI Infrastructure, focusing on TPU/GPU accelerators for training and inference. The role involves advising customers on AI infrastructure strategy, designing and implementing solutions, performance tuning, and MLOps integration. | ServePost-train | 7 |
| Senior Creative Technologist, Search Marketing This role sits at the intersection of product development and creative storytelling within Google Search Marketing. The Creative Technologist will bridge the gap between engineers, researchers, and creatives by prototyping and developing novel demos that showcase the capabilities of AI features like generative AI, visual search, and multimodal experiences. The role involves translating complex technology into compelling technical storytelling, identifying new use cases, and executing technical demonstrations for high-visibility events. It requires a blend of technical and creative skills to inspire teams and develop breakthrough creative concepts. | Agent | 7 |
| Senior AI/ML Software Engineer, YouTube Knowledge Senior AI/ML Software Engineer at Google, working on YouTube's knowledge systems. The role involves developing and deploying ML models, including LLMs and GenAI, to improve core YouTube products like Home, Search, and Recommendations. Responsibilities include writing and testing code, collaborating on design, debugging issues, and implementing ML solutions leveraging ML infrastructure. The role requires experience with software development, ML infrastructure, and potentially speech/audio or reinforcement learning. | Ship | 7 |
| Senior Strategist, Kids and Learning Trust and Safety This role focuses on ensuring the safety and trustworthiness of Generative AI experiences for young users, specifically in educational contexts. The Senior Strategist will develop and implement product safety strategies, analyze risks, and work with engineering and product teams to build responsible AI capabilities, including those for image, video, and agentic AI. Key responsibilities include analyzing data to identify and combat abuse, enhancing operational workflows, improving model safety, debugging escalations, and managing technical projects. | Eval GateAgent | 7 |
| Software Engineer III, YouTube Trust and Safety Software Engineer III at Google's YouTube Trust and Safety team, focusing on building classifiers and applying ML methods to improve automatic content detection and address trust and safety challenges. The role involves analyzing content understanding gaps, orchestrating signals from expert models, and productionizing ML solutions. | Post-trainServe | 7 |
| Compute Manager, Serving, DeepMind This role is responsible for coordinating the GenAI serving process and supporting compute needs for model training. The individual will work with teams on their requests, improve and automate workflows, and manage computational power for frontier model development. Key responsibilities include debugging infrastructure, advising on compute governance, identifying launch bottlenecks, and developing internal tooling to streamline processes. | ServePretrain | 7 |
| Technical Solutions Engineer, AI/ML Technical Solutions Engineer for Google Cloud AI/ML portfolio, focusing on customer-reported issues, deployment failures, and model performance degradation. Responsibilities include troubleshooting, debugging ML models (TensorFlow, PyTorch) in production environments (Kubernetes, Compute Engine), and ensuring production readiness of generative AI models. Requires Python coding, AI/ML concepts, and networking/system administration experience. | ServePost-train | 7 |
| Senior Software Developer, Machine Learning This role focuses on developing and innovating machine learning-based algorithms for video compression, aiming to improve efficiency and reduce complexity for both traditional and generative content. The role involves contributing to industry standards and developing novel algorithms for next-generation codecs, with a specific emphasis on Generative AI applications. | Post-train | 7 |
| Software Engineer, Infrastructure and Data AI, Ads Platform Software Engineer role focused on building and supporting infrastructure components for Google Ads, specifically developing LLM-based agentic AI solutions and related infrastructure. The role involves writing Java code, participating in design reviews, and contributing to documentation for AI agents. | AgentServe | 7 |
| Senior Software Developer, Applied AI and Telephony Senior Software Developer role focused on integrating AI agents with telephony systems for customer support. The role involves end-to-end development of communication systems, defining technical direction for telephony integrations, and ensuring reliable, scalable, and intelligent Generative AI experiences. It requires expertise in telephony stacks (PSTN, SIP, WebRTC) and experience with ML infrastructure and software development. | AgentServe | 7 |
| Staff Software Engineer, YouTube Ads Machine Learning Staff Software Engineer at Google YouTube Ads ML team, focusing on designing, developing, and deploying large-scale ML solutions for advertising products. The role involves technical leadership, optimizing ML infrastructure, and building recommendation system models. | ShipData | 7 |
| Staff Software Engineer, Search Intelligence Staff Software Engineer at Google, focusing on Search Intelligence. The role involves designing, developing, and deploying software solutions to improve the quality of AI-generated content within Google Search. This includes implementing and experimenting with AI/ML models, analyzing performance, and managing open-ended problems in large-scale systems. The position requires experience in AI platform and ML infrastructure, with a focus on improving AI-generated content quality and system health. | ShipServe | 7 |
| Senior Data Scientist, Research, App Ecosystem and Trust This role focuses on applying advanced quantitative methods and machine learning to protect Android users from abusive applications. The data scientist will conduct end-to-end analysis, develop and evaluate ML models, and collaborate with product and engineering teams to improve safety systems. The work involves handling large datasets in an adversarial environment, aiming to detect and prevent various forms of abuse. | Post-train | 7 |
| Senior Research Data Scientist, Android Tablets Senior Research Data Scientist role focused on driving AI product success for Android Tablets by owning the end-to-end data science lifecycle, developing inference algorithms, and estimating user lift using ML/statistical approaches and causal inference. | Ship | 7 |
| Staff Data Scientist, Research, Search Health Research Data Scientist focused on evaluation and metrics for AI answers in Search Health, developing advanced ML/LLM methodologies to identify product opportunities and influence product/engineering directions. | Eval Gate | 7 |
| Senior Software Engineer, Operations Research Senior Software Engineer role focused on developing and implementing operations research and optimization algorithms, with a component of applying machine learning methodologies to solve problems at Google scale. The role involves writing and testing code, leading design reviews, and contributing to system design and architecture. | Data | 7 |
| Technical Program Manager III, Machine Learning, Core Technical Program Manager III, Machine Learning, Core at Google. This role focuses on driving innovation in machine learning to enhance Google's products, working with cross-functional teams to manage complex programs from start to finish. The role requires understanding ML technologies and their applications, managing schedules, and communicating with stakeholders at all levels. The team is responsible for AI and Infrastructure at scale, supporting Google's products and customers. | Ship | 7 |
| Software Engineer III, AI/ML, Core Software Engineer III, AI/ML, Core at Google, focusing on building the technical foundation for AI/ML products. Responsibilities include writing code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and implementing ML solutions with a focus on optimization and data processing. Requires experience with ML infrastructure, model deployment, evaluation, optimization, and data processing, with a specialization in areas like speech, reinforcement learning, or ML infrastructure. | ServeData | 7 |
| Software Engineering Manager, Retrieval Quality Google is seeking a Software Engineering Manager for the Retrieval Quality team. This role involves defining and driving the technical roadmap, managing a team of engineers, overseeing architectural design, and driving AI transformation to improve engineering productivity and solve technical problems. The team focuses on retrieval infrastructure and search quality, impacting large-scale distributed systems. | Serve | 7 |
| Senior Software Engineer, Agentic Infrastructure, GBO Engineering Senior Software Engineer to architect and build agentic infrastructure for unifying fragmented business domains, enabling agents to perform multi-hop reasoning and tool execution using RAG and LLM orchestration for customer context and autonomous action plans. | Agent | 7 |
| Senior Engineering Manager, ML Infrastructure for Ads Safety Senior Engineering Manager for ML Infrastructure in Ads Safety, leading technical strategy and organizational growth for platforms powering high-stakes content and actor detection. Bridges ML research and production engineering, driving evolution of ML infrastructure for complex models and operational excellence. | ServeData | 7 |
| Staff Software Engineer, Access Intelligence Staff Software Engineer role focused on defining strategy and developing solutions for agentic cloud use cases within Google Cloud. Requires strong software development, design, and architecture experience, with a preference for experience in building agentic systems. | Agent | 7 |
| Technical Solutions Engineer, Artificial Intelligence/Machine Learning Technical Solutions Engineer for Google Cloud AI/ML portfolio, focusing on customer-facing support, troubleshooting ML deployments (including Generative AI), and ensuring production readiness. Requires strong Python scripting, debugging skills, and experience with ML frameworks and cloud infrastructure. | ServePost-train | 7 |
| Data Science Manager, AI/ML This role is for a Data Science Manager to lead a team in India focused on AI/ML initiatives for People Operations. The manager will provide technical leadership, oversee the development and deployment of AI/ML models (including NLP and predictive models), and bridge the gap between business needs and technical execution. The role involves hiring, mentoring, and managing the data science pod, driving technical architecture, and advocating for AI transformation within the organization. | ShipAgent | 7 |
| Staff Research Scientist, Women's Health Sensing Research Scientist role focused on developing and leading a health sensing roadmap for women's reproductive health, leveraging Google's hardware products, apps, and third-party integrations. The role involves driving new research ideas from conception through to production, collaborating with cross-functional teams, and publishing findings in top venues. | Ship | 7 |
| Engineering Manager, ML Infrastructure Control Plane Google is seeking an Engineering Manager for their ML Infrastructure Control Plane team. This role involves leading engineering efforts for Alphabet's ML workloads, supporting critical missions across various Google divisions. The team focuses on providing efficient, reliable, and easy-to-use fleet-wide scheduling for ML infrastructure. The manager will set team priorities, develop technical roadmaps, guide system designs, and oversee code development and reviews, ensuring the efficient operation of large-scale ML infrastructure. | Serve | 7 |
| Senior Engineering Analyst, Photos Responsible AI This role focuses on ensuring the safety and trustworthiness of AI features within Google Photos, specifically generative AI. The Senior Engineering Analyst will work with various teams to develop and execute comprehensive evaluations, identify emerging risks and abuse vectors, and build resilience against malicious inputs. The role involves defining testing approaches, tools, and solutions, establishing testing to discover risks, and defining program metrics and feedback loops. | Eval GatePost-train | 7 |
| Technical Program Manager, Generative AI Safety Technical Program Manager for Generative AI Safety at Google, focusing on leading initiatives to expand content safety infrastructure, integrate safety classifiers, and build rapid response capabilities for AI abuse. The role involves partnering with cross-functional leaders to convert threat intelligence into scalable models and technical protections within the serving stack, orchestrating safety engineering teams, and managing global workflows for timely integration and evaluation of safety models for Gemini releases. This role also coordinates with infrastructure teams, generative AI product groups, and foundational model researchers to integrate safety signals into primary models. | Eval GatePost-train | 7 |
| Staff Software Engineer, RCPS AI Staff Software Engineer role at Google Cloud focusing on AI and ML, specifically in building AI Agents, Agentic AI, and ML models with NLP capabilities for security products. The role involves leading a full-stack team, designing, developing, testing, and deploying platforms, and collaborating with various stakeholders. | Agent | 7 |
| Staff Software Engineer, Machine Learning Compilers, Edge TPU Staff Software Engineer focused on building ML compilers for EdgeTPU hardware, optimizing ML models for inference, and working on hardware/software co-optimizations. Collaborates with ML model developers and researchers to deploy models on EdgeTPU. | Serve | 7 |
