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 |
|---|---|---|
| Application Engineer Application Engineer role focused on building Generative AI and LLM-based applications and agents, integrating them into web applications, and supporting sales and supply chain processes within the Google Devices & Services team. Requires strong software development skills and experience with AI/ML technologies. | Agent | 7 |
| Senior Software Engineer, Generative AI, LearnX Senior Software Engineer role focused on developing and launching AI-motivated features for learning products within Google Search and Lens. Responsibilities include data preparation, fine-tuning, prompt optimization, model evaluation, and driving cross-functional collaboration to ensure quality and delivery of AI features. | Post-trainServe |
| 7 |
| Solutions Acceleration Architect, Google Cloud This role focuses on designing and developing AI-powered solutions and prototypes for enterprise customers on Google Cloud Platform. The Solutions Acceleration Architect will lead technical relationships with partners, build trusted advisory relationships, and define technical architectures for AI initiatives including fine-tuning and RAG. The role involves showcasing the potential of data and AI to solve business challenges and contributing to industry thought leadership. | Agent | 7 |
| Staff Software Engineer, Workspace Abuse Safety Protection This role focuses on combating abuse within Google Workspace's agentic framework, building data pipelines and deploying models to identify and block malicious actors. It involves working with AI/ML models to protect users and the platform from various forms of abuse, particularly in the context of emerging agentic workflows. | AgentServe | 7 |
| Staff Software Engineer, ML Data Infrastructure Google's YouTube Discovery Data team is seeking a Staff Software Engineer to build and maintain large-scale data processing pipelines that power personalized discovery and ML models at YouTube. The role involves enabling next-generation model architectures and training procedures, reducing complexity in ML training infrastructure, and collaborating with other infrastructure teams. The ideal candidate will have extensive experience in C++ programming, large-scale infrastructure development, and a solid understanding of ML concepts. | Data | 7 |
| Senior Machine Learning Engineer, Performance This role focuses on optimizing the performance of AI models (like DeepSeek, Qwen, Gemini, Gemma) on TPUs at Google's scale. It involves fleet-wide analysis, building scaling automation, and last-mile optimization using techniques such as sharding, quantization, and sparsity, while maintaining model quality. The role engages with product teams and researchers to solve performance problems, requiring deep understanding of model design, performance analysis, coding, compilers, and hardware. | Serve | 7 |
| Software Engineer III, Full Stack, AI Development Tools Software Engineer III role focused on developing GenAI and Vertex-based development tools, including server and middleware code that interacts with LLMs. The role involves integrating next-generation LLMs with a focus on performance and deployment constraints, working closely with AI researchers and product managers. | Serve | 7 |
| Software Engineer, GDC LLM Serving and GPU Performance Software Engineer role focused on optimizing LLM serving infrastructure and GPU performance, including disaggregated serving, KV cache mechanisms, resource allocation, and performance analysis tools. Collaborates with research and engineering teams to deploy LLMs efficiently. | Serve | 7 |
| Senior Software Engineer, Google Home Camera Senior Software Engineer for Google Home Camera, focusing on the camera stack and On-Device Machine Learning (ODML) framework for AI home security products. Responsible for end-to-end ownership of NPI projects, advancing computing technologies for consumer devices, and providing technical coaching. | ServePost-train | 7 |
| Engineering Director, Knowledge Catalog Engineering Director to lead the technical and architectural reinvention of the Knowledge Catalog platform, integrating Generative AI as a core competency for autonomous data management and governance. Focus on defining AI-first roadmaps, managing LLM integration, and ensuring high-quality data for AI/ML models. | AgentData | 7 |
| Staff Software Engineer, Cloud AI/ML Infrastructure Staff Software Engineer for Google Cloud's AI/ML Infrastructure team, focusing on building and operating a multi-tenant ML-as-a-service platform to enable Google product teams to build and launch GenAI-powered products. The role involves simplifying AI workflows, collaborating across front-end, infrastructure, and modeling expertise, and democratizing AI techniques. | ServeAgent | 7 |
| Staff Software Engineer, AI/ML, GDC AI Platform Staff Software Engineer role focused on integrating and optimizing AI/ML services and models onto Google Distributed Cloud (GDC) platforms, including disconnected and air-gapped environments. Requires significant experience in software development, ML design, and ML infrastructure, with a focus on deployment and evaluation. | ServePost-train | 7 |
| Software Engineer III, Generative AI, Payments Risk Software Engineer III role focused on building AI-driven risk management solutions for Google Payments, leveraging Generative AI and Machine Learning to combat online payment fraud. The role involves developing and implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation and optimization to reduce losses and improve fraud detection speed. | Agent | 7 |
| Staff Software Engineer, Google Cloud Storage, AI/ML Staff Software Engineer at Google Cloud Storage, focusing on building and optimizing storage solutions for AI/ML workloads, bridging core storage infrastructure with the demands of training and inference. | ServeData | 7 |
| Software Engineer, AI Powered Rust Software Engineer role focused on building and leveraging AI, specifically agentic workflows and multi-agent systems, to automate the large-scale migration of C/C++ code to Rust. The role involves designing evaluation strategies for AI-generated code, optimizing the output, and collaborating with AI and programming language teams. | Agent | 7 |
| Senior Software Engineer, AI/ML, Google Cloud AI Senior Software Engineer role focused on AI/ML within Google Cloud AI. The role involves designing and implementing solutions in specialized ML areas, leveraging ML infrastructure, and contributing to product/system development. Key areas include speech/audio, reinforcement learning, ML infrastructure, model deployment, evaluation, optimization, data processing, and debugging. | Serve | 7 |
| Senior Software Engineer, Performance, AI and Infrastructure Senior Software Engineer focused on performance and infrastructure for AI at Google. This role involves developing and optimizing systems that support AI models at scale, ensuring efficiency, reliability, and velocity. The engineer will write and test code, participate in design reviews, review code from others, contribute to documentation, and triage/debug system issues. The role requires experience in C++ or Python, performance analysis, and large-scale systems, with a focus on the infrastructure that powers AI and Google's product portfolio. | Serve | 7 |
| Software Engineer III, AI/ML, Google Cloud Software Engineer III on the AI and Infrastructure team at Google Cloud, focusing on delivering AI and Infrastructure at scale. Responsibilities include writing product/system code, collaborating on design/code reviews, contributing to documentation, triaging/debugging issues, and implementing solutions in specialized ML areas, utilizing ML infrastructure, and contributing to model optimization and data processing. | Serve | 7 |
| Software Developer, Concorde Gateway, Full Stack This role involves driving the end-to-end development of cloud-based communication system integrations for AI agents, focusing on connecting next-generation AI agents to users across chat and voice surfaces. The position is within the Cloud Applied AI (AAI) team, working on enterprise products powered by Gemini Enterprise, with an emphasis on building solutions that deliver new 0-to-1 capabilities with startup agility and collaborating directly with model builders. | Agent | 7 |
| Business Data Scientist, Applied Machine Learning, GCS This role focuses on building and evaluating ML models for business growth, specifically using causal inference and deep learning techniques. The responsibilities include designing, developing, and validating causal inference models, partnering on A/B tests, prototyping new methods, communicating technical findings to executives, and establishing monitoring systems for deployed models. The role aims to integrate ML models into production serving systems and ensure their ongoing accuracy. | AgentEval Gate | 7 |
| Audio Experience and Innovation Engineer, Devices and Services This role focuses on defining and delivering high-quality audio experiences across Google's Pixel ecosystem, integrating AI/ML technologies like LLMs, NLP, ASR, and TTS into consumer electronic devices. The engineer will lead system audio architecture, execute experiments, translate concepts into technical specifications, and drive solutions across hardware and software boundaries, collaborating with cross-functional teams and integrating research into products. | Ship | 7 |
| Senior Software Engineer, Front End, Pomelli Senior Software Engineer on the Pomelli team, responsible for building high-performance web interfaces and prototyping advanced AI features for a marketing platform for small businesses. The role involves taking broad concepts and turning them into functional products, making critical architectural choices, and working at the intersection of web design and AI. The team is part of Google Labs, focused on incubating early-stage efforts. | Agent | 7 |
| Senior Business Data Scientist, Trust and Safety This role focuses on designing and developing metrics and measurements for Trust and Safety across various Google products. The Senior Business Data Scientist will leverage Google's production data infrastructure and AI-based content rating systems to drive business optimization and meet regulatory reporting requirements. Responsibilities include leading statistical design, implementing data pipelines, and collaborating with engineering and business stakeholders to make data-backed decisions. | Ship | 7 |
| Senior Security Engineering Manager, Enterprise Security AI This role is for a Senior Security Engineering Manager to lead a new team in Singapore focused on securing Alphabet's enterprise systems and data in the context of AI adoption. The team will develop novel approaches and use AI-motivated automation to manage AI enterprise security risks and enable safe enterprise use of AI, particularly agentic AI workflows. | Agent | 7 |
| Senior Software Engineer, Vertex AI, Workbench Senior Software Engineer role focused on building foundational infrastructure for Generative AI agents within Vertex AI Notebooks, a key platform for enterprise AI. | AgentServe | 7 |
| Senior Software Engineer, Google Cloud, Generative AI, Blackbelt Senior Software Engineer, Google Cloud, Generative AI, Blackbelt role focused on helping customers adopt and integrate Google's Generative AI solutions, including AI Agents and Gemini Enterprise. The role involves understanding customer needs, providing technical expertise, developing integration strategies, and supporting developers in leveraging Generative Language APIs. It requires experience in software development, Python, data science/ML, and specifically with GenAI and AI Agents. | Agent | 7 |
| Engineering Manager, Woodshed Engineering Manager for Woodshed, a core AI/ML infrastructure team at Google, focusing on distributed systems for machine learning, dataset lakehouse management (Canon), and supporting multimodal model training for various Google product areas like Gemini and GenMedia. The role involves managing a team, contributing to product strategy, and building next-generation AI/ML systems. | DataPretrain | 7 |
| Staff SWE, Compiler Architect, System Performance Modeling Staff SWE role focused on architecting and owning the accuracy and fidelity of a critical co-design simulation platform for next-generation ML accelerators. The role involves establishing correlation infrastructure between simulated and physical hardware, evolving the simulation layer for complex workloads like LLMs, and identifying system-level bottlenecks at the pre-silicon stage to provide performance estimates for future ML systems. | Serve | 7 |
| Customer Engineer, AI Infrastructure Modernization TPU, Google Cloud Customer Engineer focused on AI infrastructure modernization using Google Cloud's TPU/GPU accelerators. The role involves guiding customers on architecture, deployment, and optimization of large-scale training and inference jobs, working with AI/ML accelerators, and supporting sales teams in piloting and deploying these solutions. | ServeData | 7 |
| Staff Software Engineer, AI/ML, Cloud Identity and Access Management Infrastructure Staff Software Engineer at Google Cloud, focusing on AI/ML for Identity and Access Management infrastructure. The role involves architecting and implementing agentic authorization solutions, leading the integration of AI/ML into IAM, and driving the technical vision for scalable infrastructure systems. This includes building a platform for customers to deploy multi-agent ecosystems and connect LLMs securely within GCP. The position also involves technical leadership, mentoring engineers, and ensuring system operational health. | AgentServe | 7 |
| Senior Software Developer, Computer Vision, XR Senior Software Developer role focused on Computer Vision and XR at Google. The role involves developing and deploying geometric sensing capabilities for XR products, enabling features like 3D reconstruction and scene understanding. It requires experience with ML infrastructure, computer vision systems, and Augmented Reality. The position contributes to the convergence of AI and XR to create augmented human intelligence experiences. | ShipData | 7 |
| Senior Software Engineering Manager, XR Platform Senior Software Engineering Manager for Google's XR Platform, focusing on AI-powered interfaces and agentic systems. This role involves technical leadership, team management, and defining roadmaps for next-generation XR experiences that converge AI and XR technologies. | Agent | 7 |
| Senior Data Cloud Blackbelt Manager, Data and AI This role is for a Senior Data Cloud Blackbelt Manager at Google, focused on incubating and accelerating the adoption of Google's data cloud and AI capabilities for enterprise customers. The manager will lead a team in building and deploying sophisticated AI agents, acting as a technical counterpart to customer executives and influencing product roadmaps. | Agent | 7 |
| Software Engineer III, Google Cloud Platforms, Gemini Develop and enhance software solutions for a conversational AI tool that enables users to collaborate with generative AI, augmenting imagination, curiosity, and productivity. The role involves full-stack development on cloud infrastructure, with a focus on shipping AI-powered products. | Ship | 7 |
| Engineering Analyst Manager, Account Security, Intelligent Defenses Lead This role manages a team of engineering analysts focused on building AI systems for account and device integrity, threat detection, and automation. The primary focus is on developing and deploying AI agents and foundational models to automate operational tasks and improve security defenses. The role involves cross-functional collaboration and influencing stakeholders. | AgentData | 7 |
| Software Engineer III, AI/ML, Google Ads Software Engineer III role within Google Ads focusing on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience in programming (Python/C++) and ML infrastructure, with a specialization in areas like speech/audio, reinforcement learning, or other ML fields. | Serve | 7 |
| iOS Staff Software Engineer, Gemini Live, DeepMind Staff Software Engineer for Gemini Live, a multi-modal AI assistant focused on user interaction, productivity, and learning experiences. The role involves defining and driving front-end architecture, engineering multi-modal experiences, developing non-verbal communication systems for low-latency responses, and partnering with GenAI/Model teams to integrate advanced capabilities and establish quality metrics. | Agent | 7 |
| Software Engineer III, Skills Evaluation, Chrome Software Engineer III role focused on building and maintaining evaluation pipelines, safety classifiers, and automated testing systems for AI skills within the Chrome product. This involves designing and implementing metrics, visualization tools, and auto-raters to ensure the quality, safety, and performance of AI workflows, with a focus on integrating with various AI models and browser surfaces. | Eval GatePost-train | 7 |
| Staff Software Engineer, Intelligent Database Management Staff Software Engineer at Google Cloud focused on building an organization-wide fleet health platform for databases. This platform leverages LLMs and AI to provide actionable insights, unified management, and a conversational agent for customers to pinpoint and resolve issues in their database fleet. The role involves designing and building centralized fleet management systems, partnering with product and engineering teams, and improving the operational health of these systems. | AgentServe | 7 |
| Senior Software Engineer, Android, Gemini App, DeepMind Senior Software Engineer role focused on building and shipping Gemini applications on Android, translating AI capabilities into user-friendly mobile experiences. This involves architecting scalable mobile systems, developing server-side logic, and owning CoreUI libraries for new model capabilities. | Ship | 7 |
| Senior Software Engineer, AI/ML, Google Public Sector Senior Software Engineer role focused on building and operating Generative AI products for the public sector, involving data synthesis, retrieval applications, ML inference optimization, and ML infrastructure management. | AgentServe | 7 |
| Engineering Manager, Software Engineering Engineering Manager for AI/ML networking safety solutions, focusing on leading a team to develop and deploy these solutions into production. The role involves managing project priorities, team development, and cross-functional collaboration within Google's AI and Infrastructure team. | Ship | 7 |
| Senior Software Engineer, TPU, AI Infrastructure Senior Software Engineer role focused on developing firmware and software for Google's custom AI accelerators (TPUs). The role involves designing and building low-level C++ code for embedded micro-controllers on ASICs, co-designing hardware/software interfaces, developing tools for ASIC bring-up and debugging, building simulators, and architecting telemetry systems for monitoring TPUs. This position is crucial for enabling the development and scaling of AI models and infrastructure at Google. | Serve | 7 |
| Software Engineering Manager, GPU AI Infrastructure Software Engineering Manager responsible for leading a team that develops system software and networking technologies for GPU-based AI/ML supercomputers in Google's data centers. This includes managing engineers, defining technical roadmaps, and overseeing the integration, testing, deployment, and debugging of system software for accelerator products. | Serve | 7 |
| Cloud AI Consultant, Professional Services (English) This role involves consulting with enterprise clients to develop, deploy, and manage custom AI/ML solutions on Google Cloud Platform. The consultant will provide technical project management, solution architecture, and best practice guidance, working closely with clients, partners, and internal Google teams to ensure successful implementation and adoption of AI technologies. | Ship | 7 |
| Software Engineering Manager II, Core, Dev AI Software Engineering Manager II for the Deep Research team within the Agentic Validation organization, focusing on building agentic AI solutions to improve coding agents. The role involves technical leadership, people management, and driving projects related to codebase intent extraction, exploratory testing, and agentic validation. | Agent | 7 |
| Software Engineer, ML Fleet Intelligence Software Engineer role focused on applying AI/ML to optimize the fault tolerance and reliability of Google's global data center fleet, including ML TPUs. The role involves designing and implementing ML models for fault prediction and mitigation, analyzing large-scale telemetry data, and building scalable automated systems. It requires experience in ML infrastructure, model deployment, and data processing, with a focus on improving the reliability of AI/ML systems and traditional compute infrastructure. | AgentData | 7 |
| Senior Software Engineer, Generative AI, Ads Safety Senior Software Engineer role focused on Generative AI within Google Ads, specifically on Ads Safety. The role involves developing and testing product/system code, participating in design reviews, and reviewing code. Requires experience with ML infrastructure, state-of-the-art GenAI techniques (LLMs, Multi-Modal, Large Vision Models), and GenAI-related concepts. Preferred qualifications include experience with Generative AI Agents and applied ML. | Agent | 7 |
| Business Data Scientist, Ads Marketing Analytics (English) This role focuses on designing, developing, and implementing AI-powered agents and automation solutions to enhance efficiency in marketing and ads marketing analytics. The data scientist will leverage machine learning and advanced analytical methods to build analysis pipelines and agentic systems, measure their impact, and communicate insights to stakeholders to drive business growth and optimize marketing campaigns. | Agent | 7 |
| Image Processing Engineer Image Processing Engineer role focused on optimizing image quality by fine-tuning algorithms and building ML-powered tools for tuning, testing, and calibration workflows. Requires experience in image quality, computer vision, Python, and C++. | Data | 7 |