Google has 584 active AI-related job listings. The majority of these roles are focused on agents, representing 40% of the total, and serving infrastructure, at 26%. The most frequent technical tags include model_serving, agent_orchestration, and evals. Over the last 30 days, Google has added 413 new AI roles, a 105% increase compared to the preceding 30-day period.
Currently tracking 498 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google currently has 586 active AI-related roles in our index. The most common open titles are: Software Engineer (5), AI Adoption Customer Engineer, Google Cloud (3), Conversational AI Consultant (2), Engineering Manager, Egregious Abuse Protection (2), Forward Deployed Engineer III, Generative AI, Google Cloud (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (25%), application (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Google is hiring AI talent in: United States (376 roles), India (53 roles), Singapore (40 roles), Switzerland (20 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 571 new AI-related roles. That is a +22% change versus the prior 30 days (469 → 571).
| Title | Stage | AI score |
|---|---|---|
| Senior Staff Software Engineer, AI/ML, IAM Senior Staff Software Engineer role focused on developing security controls and guardrails for AI agents within Google Cloud's Identity and Access Management (IAM) system. The role involves leading the design and implementation of large-scale authorization systems, extending IAM functionality to govern agent behaviors, and ensuring the security and reliability of these systems. | Agent | 7 |
| Staff Software Engineer, Google Cloud Generative AI Blackbelt Staff Software Engineer on the Google Cloud Generative AI Blackbelt team, focused on helping enterprise customers adopt and integrate Generative AI solutions. This role involves understanding customer needs, resolving technical blockers, recommending architectures, and supporting developers in leveraging Google's GenAI APIs. | Agent |
| 7 |
| Senior Software Engineer, Security/Privacy, AI Agents Senior Software Engineer focused on building security and privacy frameworks for AI agents within Google Workspace. The role involves developing robust security, enforcing agent identities, and establishing real-time safety guardrails to enable secure collaboration with AI agents, impacting billions of users. | Agent | 7 |
| Senior Quality Engineer, Gemini Enterprise Quality Senior Quality Engineer for Gemini Enterprise Quality at Google Cloud AI Research. This role involves designing and implementing ML solutions, leveraging ML infrastructure, and focusing on quality assurance for AI products, particularly in specialized ML areas like speech/audio or reinforcement learning. The role requires experience in ML infrastructure, including model deployment and evaluation, and contributes to bringing AI innovations to real-world impact. | Eval GateServe | 7 |
| Senior Software Engineer, AI/ML, Search Platforms Senior Software Engineer focused on AI/ML within Google Search Platforms, responsible for designing and implementing ML solutions, leveraging ML infrastructure, and contributing to product/system development and testing. Requires experience in software development, ML infrastructure, and specialized ML areas like speech/audio or reinforcement learning. | Serve | 7 |
| Senior Software Engineer, Server AI Foundations, Core Senior Software Engineer on the Server AI Foundations team, focusing on building AI-powered tools for Google developers to enhance productivity and integrate AI into workflows. The role involves technical leadership in design, architecture, and implementation of AI-integrated solutions within Google's production platform infrastructure. | Agent | 7 |
| Senior Software Engineer, ML Compilers, Edge TPU Senior Software Engineer on the EdgeTPU Compiler team responsible for building next-generation compiler optimizations to power machine learning (ML) models on custom hardware. This role involves translating framework-level code (JAX, PyTorch) into efficient instructions for the EdgeTPU, owning end-to-end features, triaging issues, implementing optimizations, and collaborating with model owners and stakeholders to accelerate ML deployment on edge devices. | Serve | 7 |
| Staff Functional Safety Engineer, Robotics Compute, DeepMind Staff Functional Safety Engineer for robotics compute platforms at Google DeepMind, focusing on designing and implementing functional safety architectures for AI-powered robots. The role involves ensuring compliance with safety standards, collaborating with AI research teams, and overseeing the deployment of complex electromechanical systems. | Ship | 7 |
| Software Engineer ll, Account Threats Detection, Google Core Software Engineer II on the Account Threats Detection team at Google Core, focusing on building and operating the ML ecosystem for transformer-based account activity models. The role involves implementing ML pipelines for experimentation, training, validation, and deployment, as well as analyzing model drift and collaborating with partners to integrate threat detection solutions. | ServePost-train | 7 |
| Senior RTL Design Engineer, Google cloud This role focuses on the design and implementation of Application-Specific Integrated Circuits (ASICs) for accelerating Machine Learning (ML) computations in data centers, specifically for Google's AI and Infrastructure team. The engineer will work on micro-architecture, implementation, and optimization of these custom silicon solutions, collaborating with various teams to deliver high-performance and efficient hardware accelerators. | Serve | 7 |
| Software Engineer, Agentic Validation of Global Correctness Software Engineer role focused on AI-driven validation of AI-generated code and systems, ensuring stability and correctness as AI code volume grows. Responsibilities include creating and executing integration tests, validating system attributes, and identifying/addressing validation gaps to mitigate risks. The role involves working with coding agents and injecting quality feedback into the development loop. | AgentEval Gate | 7 |
| Software Engineer, Engineering Productivity, Pixel Tools Software Engineer on the Pixel System Health Engineering Productivity team, focused on applying AI/ML (like Gemini) to automate bug triage, justify device quality, and improve overall Pixel product reliability and performance. The role involves developing and scaling automated triage systems, building predictive tools, and collaborating with cross-functional teams to integrate AI-powered solutions. | Agent | 7 |
| Senior Software Engineer, Machine Learning, Debug Senior Software Engineer, Machine Learning, Debug role focused on developing and deploying deep learning models for mosquito-born disease eradication. This involves computer vision for analyzing mosquitoes, statistical modeling for population dynamics, and building production-ready code for scalable deployment, with a focus on optimizing vector control strategies. | ServeData | 7 |
| Tech Lead Manager, Kubernetes AI Infrastructure Tech Lead Manager for Kubernetes AI Infrastructure, responsible for building and managing reliable and scalable TPU orchestration with Kubernetes to enable customers to run GenAI workloads at scale on-premises. The role involves technical leadership, people management, and collaboration with AI labs to influence the infrastructure roadmap. | Serve | 7 |
| Senior Software Engineer, Recommendations, Rankings, Predictions, YouTube Ads Google is seeking a Senior Software Engineer to design and implement recommendation systems models for YouTube Ads, leveraging ML infrastructure and contributing to architecture. The role involves writing and testing code, collaborating with stakeholders, triaging issues, and deploying models in production. | ShipData | 7 |
| Director, Engineering, Workspace Slides and Sites, Google Cloud Director of Engineering for Google Slides, leading the integration of AI into a collaborative presentation platform. Focus on accelerating innovation, defining the technical roadmap for an AI-first architecture, and partnering with cross-functional teams, including DeepMind, to build advanced AI capabilities and drive commercial success. | Ship | 7 |
| Senior Software Engineer, Automotive AI Senior Software Engineer on the Automotive AI team, focusing on building and integrating Gemini enterprise conversational agents into automotive products. This role involves developing AI/ML technologies, LLMs, and NLU infrastructure, with a strong emphasis on large-scale deployment and reasoning capabilities. | Agent | 7 |
| Engineering Manager, Image Search Ranking Engineering Manager for Google Images, responsible for ranking image results and improving quality through new signals, evaluation methods, and applying research. Leads technical initiatives in areas like Shopping in Images, Personalization, and AI-Organized Search Results. Manages a team of software engineers, guides technical strategy, and oversees development of ranking improvements. | ShipAgent | 7 |
| Senior Software Engineer, ML Infrastructure, Core Infra This role focuses on building and scaling ML infrastructure for conversational AI products, including agent assist and dialogflow. The engineer will develop centralized infrastructure solutions to support product teams in areas like compliance, feature development, and scaling, working closely with model builders to accelerate go-to-market for new capabilities. | Serve | 7 |
| PMax and Automation Infra Software Engineer Software Engineer role focused on the backend infrastructure for Google's Performance Max (PMax) AI-driven advertising platform. The role involves designing, developing, and maintaining highly scalable and reliable systems that automate ad campaigns across various Google products. | Ship | 7 |
| Software Engineer, Android and Pixel SDLC Software Engineer role focused on building an AI-native Software Development Lifecycle (SDLC) ecosystem for Android and Pixel. The role involves developing intelligent tools, automation, and evaluation methodologies, leveraging on-device and cloud-based AI technologies, including LLMs and multi-agent systems, to optimize functionality, stability, and release velocity. | Agent | 7 |
| Research Engineer, Generative AI, Virtual Try On Research Engineer role focused on Generative AI for Virtual Try On, involving LLMs and Large Vision Models. Requires significant experience in ML infrastructure, including deployment, evaluation, and fine-tuning, and experience launching software products. The role involves technical leadership and influencing engineering teams. | ShipPost-train | 7 |
| Senior Software Engineer, AI Agent Ecosystem, ADK Senior Software Engineer to drive technical strategy and architecture for an open-source AI Agent ecosystem, including the Agent Development Kit (ADK). Focus on building foundational libraries, SDKs, and developer tools to simplify the creation, deployment, and management of production-grade AI agents, enhancing developer velocity, reliability, and scale. | Agent | 7 |
| Senior Staff Uber Technical Lead, Observability Intelligence Senior Staff Uber Technical Lead for Observability Intelligence, driving the strategic shift of SRE incident response to an AI-driven paradigm within Google Cloud's monitoring systems. This role involves leading large-scale ML infrastructure optimization, defining the Observability Intelligence strategy, representing the organization in technical reviews, and partnering with Product Management to translate product needs into scalable architectural solutions. The focus is on building a cohesive, AI-powered observability ecosystem. | Eval GateServe | 7 |
| Staff Software Engineer, Search Ads ML and Large Language Models Staff Software Engineer at Google working on Search Ads ML and Large Language Models. Responsibilities include designing, developing, testing, deploying, maintaining, and enhancing large scale software solutions, providing technical leadership, and leading the design and implementation of solutions in specialized ML areas, optimizing ML infrastructure, and guiding the development of model optimization and data processing strategies. Requires experience in software development, ML infrastructure, and ML design. | Serve | 7 |
| Forward Deployed Engineering Manager, Generative AI, Google Cloud Manager for a Forward Deployed Engineering team focused on deploying bespoke agentic AI solutions within customer environments on Google Cloud. The role involves technical leadership, team management, hiring, and ensuring the team can resolve production-level obstacles related to AI integration, data readiness, and state management. Emphasis on designing and deploying multi-agent workflows, RAG systems, and tool-calling capabilities. | Agent | 7 |
| Software Engineer III, Duplex Software Engineer III at Google working on the Duplex product, which involves building phone conversation bots. The role requires creating datasets, evaluating AI model quality, and building Python backends for communication within the Geo ecosystem. Collaboration with other engineering teams across Geo, Search, and Research is expected to advance Duplex capabilities. | AgentData | 7 |
| Software Engineer III, Enterprise Data Protection Software Engineer III at Google, Enterprise Data Protection team, focused on building security controls to prevent data exfiltration, including threats from autonomous AI agents. The role involves designing and implementing AI-based classification systems and ensuring controls mitigate risks from both human and AI threats. | Agent | 7 |
| Staff Software Engineer, Emerging On-prem AI Infrastructure Staff Software Engineer focused on building and optimizing AI infrastructure, including large-scale training and inference workloads, AI clusters, and AI acceleration hardware/networking. The role involves driving technical roadmaps, ensuring end-to-end supportability, and implementing success metrics for the team. | Serve | 7 |
| Software Engineer, AI/ML, Creative Intelligence Software Engineer role focused on building AI/ML systems for ad creative optimization at Google, utilizing deep learning, reinforcement learning, and generative AI to enhance relevance and performance for YouTube users. | ShipPost-train | 7 |
| Staff Software Engineer, Generative AI, Applied Innovation Factory Staff Software Engineer role focused on applying Generative AI and Machine Learning to solve real-world customer problems within Google Cloud. The role involves driving experiments, partnering with product/engineering teams and customers, and contributing to building practical solutions. Requires significant experience in ML design, infrastructure, training, and evaluation, with a focus on generative AI applications. | AgentServe | 7 |
| Staff Software Engineer, Mobile (iOS), YouTube Shorts Creation Staff Software Engineer for YouTube Shorts Creation, focusing on an AI-first editing flow and transitioning to an agentic orchestrator for video editing tools. The role involves technical leadership on Generative AI projects, influencing iOS engineers, and managing project priorities. | Agent | 7 |
| Software Engineer AI/ML Networking Software Engineer AI/ML Networking role focused on building and optimizing AI/ML networking solutions and smart NICs at Google. This involves working at the hardware-software boundary, writing C++ code, and contributing to ML infrastructure for model deployment, optimization, and data processing in high-bandwidth, low-latency environments. | Serve | 7 |
| Senior Software Engineer, Core, engEDU Senior Software Engineer on the Core Engineering Education team at Google, focusing on embedding AI into curriculum and training. The role involves executing technical tasks to develop specialized AI agents and next-generation UI components for seamless human-agent interaction and effective in-the-flow learning, ultimately transforming how Googlers build software by transitioning from manual task execution to agentic orchestration. The team builds foundational technical solutions for Google's products. | Agent | 7 |
| Security Engineer II, Enterprise Security AI Security Engineer focused on securing enterprise AI products and features at Google, assessing controls, and mitigating risks associated with AI use. Responsibilities include delivering security assessments and threat models for AI agents, proposing technical guardrails, and assisting with escalations. | Agent | 7 |
| Software Engineer, Commerce Content Safety Software Engineer role focused on building and deploying ML models, including LLMs, for content safety in Google Commerce. This involves designing, building, and iterating on models for policy violation detection across text, image, and video, as well as developing pipelines for training data curation and model evaluation. The role requires collaboration with various teams to integrate safety measures and analyze data to improve systems. Experience in AI/ML is required, with a preference for generative AI and AI algorithms. | Post-trainData | 7 |
| Cloud Data and AI Engineer, Professional Services This role involves guiding Public Sector customers in developing, configuring, and deploying data and AI solutions on Google Cloud. The engineer will provide architecture guidance, best practices, and support for customer implementations, including the development and deployment of ML models and integrations. The role also includes customer-facing activities like site visits, solution deployment, and educational workshops, as well as collaboration with Google's Product Management and Engineering teams. | Serve | 7 |
| Senior Software Engineer, Infrastructure AI/ML, Google Cloud Senior Software Engineer focused on AI/ML infrastructure within Google Cloud, involving development, testing, and deployment of ML models and systems at scale. Requires strong programming skills and experience with ML infrastructure or LLM deployment. | Serve | 7 |
| Senior Software Engineer, Generative AI, Ads Query Understanding Senior Software Engineer role focused on enhancing generative AI models and techniques for Google Ads query understanding. The role involves writing and testing code, participating in design reviews, contributing to ML infrastructure, and identifying/evaluating emerging ML/AI technologies like Gemini models and LLMs to improve user query understanding. | Agent | 7 |
| Engineering Analyst II, Gemini and Labs This role focuses on defining and implementing safety strategies for generative AI systems, including developing evaluation paradigms, guiding engineering and research teams on safety mitigations like fine-tuning and guardrails, and analyzing the AI threat landscape to create a proactive mitigation agenda. The role is critical for ensuring AI safety is a foundational component of Google's AI systems. | Eval GatePost-train | 7 |
| Staff Software Engineer, Vector Search, Vertex AI Staff Software Engineer role focused on Vector Search Serving infrastructure for Google Cloud's Vertex AI platform, requiring experience with large-scale distributed systems and GenAI concepts. | ServeAgent | 7 |
| Travel Ads Full Stack Staff Software Engineer Staff Software Engineer for Travel Ads, focusing on full-stack development, leading system design, and implementing GenAI inference pipelines and AI-native infrastructure. The role involves owning user-facing UI to back-end model infrastructure, collaborating with cross-functional teams, and driving engineering best practices. | ServeAgent | 7 |
| Engineering Analyst, Trust and Safety, Chrome Extensions Security This role focuses on building AI-driven systems and automated solutions to detect and mitigate harmful and abusive behavior within the Chrome Web Store and Extensions. The analyst will conduct technical investigations, reverse engineer extensions, and collaborate with engineering and product teams to develop and deploy new detection methods and signals, ultimately enhancing operational workflows through AI integration and process improvements. | AgentData | 7 |
| Software Engineer, Machine Learning Software Engineer, Machine Learning at Google, focused on building and maintaining ML models for Search Advertisements to predict user interactions and optimize advertiser bids. The role involves the full ML model lifecycle, from design and training to deployment and serving in production at scale, utilizing frameworks like Keras and TensorFlow. | Post-trainServe | 7 |
| Software Engineer III, AI/ML, Search News Intelligence Software Engineer III, AI/ML, Search News Intelligence role at Google. Focuses on delivering AI-driven content for Google Search features like Top Stories, News Tab, AI Overviews, and AI Mode. Responsibilities include feature engineering for content understanding and ranking, optimizing ranking performance, deploying advanced signals, and implementing ML solutions using ML infrastructure. | ShipData | 7 |
| Staff Software Engineer, Ads Connect Sales, AI/ML Staff Software Engineer for Google Ads Connect Sales, focusing on AI/ML to empower sales teams. The role involves developing AI-powered products for the entire sales workflow, from lead generation to post-call summarization, by owning the core conversational understanding platform. This position requires technical leadership in designing, developing, and deploying large-scale software solutions, with a focus on Generative AI techniques and ML infrastructure optimization. | ShipPost-train | 7 |
| Software Engineer, AI/ML Data and Training Infrastructure Software Engineer role focused on building and advancing ML data and training infrastructure to enable ML use cases for recommendation systems. Requires experience in software development, ML models, and ML infrastructure, including data processing, model optimization, evaluation, and deployment. | Data | 7 |
| Senior Software Engineer, Cloud AI/ML Infrastructure This role focuses on building Agentic User Interface (UI) flows for Large Language Model (LLM) journeys, collaborating with UX and researchers to democratize AI techniques and improve end-to-end user experiences for Google Cloud's Generative AI features. | Agent | 7 |
| Senior Software Engineer, AI, TPU, Infrastructure The role focuses on designing and implementing software for AI infrastructure, specifically connecting Tensor Processing Unit (TPU) clusters and cloud systems. It involves building and integrating cloud compute software to support AI development and deployment at scale. | Serve | 7 |
| Health Sensing Engineer This role focuses on developing custom silicon solutions for Google's direct-to-consumer health products, involving the interpretation of health-related data from wearable sensors using machine learning/deep learning models. The engineer will also design, build, and validate new wearable sensors and collaborate on user studies, particularly for Software as a Medical Device (SaMD). | Post-train | 7 |