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, 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 |
| Principal Analyst, Trust and Safety Trusted Experiences, GenAI This role focuses on ensuring the safe launch of Generative AI models, acting as a key advisor and strategist for cross-functional teams. It involves anticipating risks, designing testing strategies, analyzing results, and driving mitigation and post-launch monitoring, with a specific emphasis on Text Models, Model Personalization, Model Governance, and Health/Mental Health. | Eval Gate | 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 |
| Senior AI System Engineer Senior AI System Engineer role focused on influencing Tensor SoC architecture for AI/ML workloads on Pixel devices. This involves cross-functional collaboration with SW/HW architects and research teams to optimize for Power, Performance, and Area (PPA) trade-offs, enabling advanced Generative AI experiences. The role requires a data-driven approach using profiling, simulation, and modeling to define future SoC architectures and system design documentation. | Serve | 7 |
| Software Engineering Manager, Acceleration Platform Software Engineering Manager to lead a team building AI-native, agentic systems for developer productivity, focusing on secure-by-default launches and automating model introspection. This role involves technical leadership, team building, and cross-functional collaboration. | Agent | 7 |
| Technical Lead, AI/ML Storage Technical Lead for AI/ML Storage at Google, focusing on managing and optimizing storage solutions for AI/ML workloads. This role involves leading product design, developing AI/ML client libraries, and driving storage innovation across Google Cloud Platform services. Requires extensive software development experience, including building ML solutions and infrastructure, with a focus on performance engineering and the evolving AI/ML landscape. | Serve | 7 |
| SOC Architect, XProf This role focuses on optimizing the performance of machine learning software and hardware stacks, particularly for TPUs, by providing performance debugging and analysis for ML workloads and custom kernels. The engineer will contribute to the end-to-end stack and analysis tools to support new ML paradigms and partner with teams to deliver chip profiling requirements. | Serve | 7 |
| Senior Customer Engineer, AI Infrastructure, Google Cloud Senior Customer Engineer focused on AI infrastructure, specifically Google Cloud TPUs, for enterprise clients. This role involves designing, deploying, and optimizing AI training and inferencing solutions, advising on ML operations, and supporting sales teams by solving technical challenges related to AI hardware and software stacks. | ServePost-train | 7 |
| AI Strategic Cloud Engineer, Google Cloud This role involves designing and implementing machine learning solutions for enterprise customers on Google Cloud, acting as a trusted technical advisor, and coaching customers on production ML systems. It requires experience with ML solutions, cloud enterprise solutions, and coding in general-purpose languages, with a preference for recommendation engines, data pipelines, and deep learning frameworks. | Ship | 7 |
| Staff Software Engineer, Network Security Staff Software Engineer for Google Cloud Networking Security team in Bangalore, focusing on building and operating large-scale network security services. The role involves defining technical strategy, leading the implementation of AI/ML features for threat detection and automated responses, and providing technical guidance and mentorship. Requires experience in software development, network security, distributed systems, cloud, and AI/ML. | Agent | 7 |
| Software Engineer III, Backend Software Engineer III, Backend role at Google, focused on building a next-generation platform for security mechanisms that will enable AI agents to operate in production. The role involves implementing features, writing and testing code, debugging issues, and partnering with other engineers and stakeholders. | Agent | 7 |
| Software Engineer III, YouTube Streaming Trust and Safety Software Engineer III at Google YouTube, focusing on Trust and Safety for livestreams. The role involves analyzing content gaps, building multi-modal classifiers (video, image, audio, transcripts, metadata) using machine learning, and productionizing these solutions. Requires experience in applied ML, Python, and handling large-scale systems. | Post-train | 7 |
| Technical Lead, Vector Search, Vertex AI Technical Lead for Vector Search Serving infrastructure within Google Cloud's Vertex AI platform, focusing on managing massive datasets and query volumes with low latency. The role involves technical leadership, architecture, code reviews, and mentoring engineers, with a requirement for experience in GenAI techniques. | ServeAgent | 7 |
| Senior Software Engineer, Full Stack, AI Agents Senior Software Engineer to build AI agents and next-generation UI components for Google's Software Development Life Cycle (SDLC), focusing on agentic orchestration and human-agent interaction within Project Basecamp. | Agent | 7 |
| Senior Software Engineer, Vision, Camera and Imaging, XR Senior Software Engineer role focused on the convergence of AI and XR, developing full-stack imaging and camera solutions for XR devices. The role involves optimizing software layers for quality, latency, and power efficiency, evaluating and developing technologies for next-generation products, and collaborating across various Google teams and external partners. Experience in imaging, computer vision, and ML perception is required, with a focus on shipping AI-powered XR products. | Ship | 7 |
| Staff UX Front-End Engineer, YouTube Staff UX Front-End Engineer for YouTube, focused on building high-fidelity prototypes and experimental frameworks for GenAI-driven creation tools. The role involves establishing a prototyping program with shared sandboxes and reusable toolsets to enable designers to create functional prototypes reflecting AI-driven media generation. Responsibilities include leading prototyping for AI video features, developing a creation design system, and driving the design-to-code evolution. | Agent | 7 |
| Product Manager, YouTube Ads User Quality Product Manager for YouTube Ads User Quality, focusing on ML algorithms, auction design, and relevance models to improve ranking systems and user experience. This role involves defining metrics, designing A/B tests, and partnering with engineering and data science teams to develop and deploy next-generation ranking models. | ShipServe | 7 |
| Senior Software Engineer, AI/ML Senior Software Engineer role focused on AI/ML within Google Search, involving the design and implementation of solutions in specialized ML areas, leveraging ML infrastructure, and contributing to product/system development. The role requires experience with ML infrastructure, model deployment, evaluation, optimization, and specific ML fields like Recommendation Systems or reinforcement learning. | ServeAgent | 7 |
| Technical Lead, Google Cloud Security Technical Lead for Google Cloud Security, focusing on transitioning to an AI-native Security Operations Center (SOC). The role involves architecting an Agent Engine and universal APIs for enterprise security teams to orchestrate defense at machine speed, shifting from static workflows to multi-agent ecosystems. Requires strong software development, ML design, and architecture experience, with a focus on AI/ML integration into enterprise products. | AgentServe | 7 |
| Staff Software Engineer, Machine Learning, YouTube Shopping Recommendations Staff Software Engineer for YouTube Shopping Recommendations, focusing on applied machine learning and recommendation systems to enhance the shopping experience within YouTube. The role involves technical leadership, driving viewer growth through ML algorithms, and collaborating across teams to build and deploy these systems at scale. | ShipAgent | 7 |
| Solutions Architect, Google Forge, Google Cloud This role focuses on designing and developing AI-powered solutions and prototypes for enterprise customers on Google Cloud Platform. It involves technical leadership, customer engagement, and guiding customers through the implementation of AI models, including fine-tuning and RAG. | AgentPost-train | 7 |
| Staff Software Engineer, YouTube Ads, AI/ML Staff Software Engineer role focused on building and enhancing large-scale AI/ML systems for YouTube Ads, specifically for user interest modeling and ad recommendation. The role involves technical leadership, designing and implementing ML solutions, optimizing ML infrastructure, and guiding model optimization and data processing. | ShipPost-train | 7 |
| Product Strategy and Operations Principal, Cloud AI Product Strategy and Operations Principal for Google Cloud AI, focusing on evolving legacy systems to Agentic ecosystems. This role involves strategic analysis, roadmap development, and translating AI infrastructure needs into business strategies and Go-To-Market plans, with a focus on designing agent systems. | Agent | 7 |
| Software Engineer, 3D Computer Vision, Google Beam, Labs Software Engineer role focused on 3D computer vision, specifically camera calibration workflows and algorithms, from conception to factory deployment. Responsibilities include creating system requirements, designing experiments, authoring monitoring dashboards, and managing calibration station bring-up at manufacturing sites. Requires experience with ML infrastructure and computer vision. | Serve | 7 |
| Staff UX Content Designer, Search This role focuses on shaping generative AI experiences within Google Search by leading model behavior design, content strategies, and training methods. The Staff UX Content Designer will develop frameworks, rubrics, and evaluation methods to ensure high-quality, trustworthy responses, working closely with researchers, PMs, and engineers. The role emphasizes influencing response quality, building user confidence, and defining standards for a reliable search experience. | Post-trainAgent | 7 |
| Senior Silicon CAD Tool Developer This role focuses on developing and deploying AI/ML models within Electronic Design Automation (EDA) CAD tool flows for AI/ML hardware acceleration, specifically Google's TPUs. The engineer will architect, develop, and implement software systems to automate and optimize chip design processes, focusing on improving Power, Performance, and Area (PPA) and Turn Around Time (TAT). The role involves a blend of hardware design, software engineering, and AI/ML application within the silicon development lifecycle. | Serve | 7 |
| AI Engineer, Advanced Solutions Lab, Google Cloud AI Engineer role focused on delivering and evolving a Generative AI curriculum for global participants, applying AI solutions to business challenges, and leading customer educational journeys. The role involves designing AI/ML curriculum, staying updated on ML developments, and serving as an ML subject matter expert for Google Cloud Consulting. | Ship | 7 |
| Senior Software Engineer, Operations Research Senior Software Engineer role focused on applying Operations Research and Machine Learning techniques to enhance Gemini and improve developer workflows with optimization agents. The role involves building technology to solve complex optimization problems and democratizing optimizations through new surfaces. | Agent | 7 |
| TPU PCIe RTL Design Engineer This role focuses on the RTL design and verification of PCIe subsystems for Google's next-generation Tensor Processing Units (TPUs), which are custom accelerators for AI/ML workloads. The engineer will architect and implement SoC-level RTL, focusing on foundational infrastructure like clocking, reset, and error handling, and collaborate with hardware and software teams throughout the product lifecycle. The position involves leading PCIe microarchitecture, RTL development, integration, and post-silicon bring-up, requiring expertise in ASIC design, PCIe protocols, and verification methodologies. | Serve | 7 |
| Staff Content Designer and Model UX Writer, Google Fi This role focuses on shaping product experiences through content design and UX writing, with a significant emphasis on conversational AI and driving the behavior of AI models. The responsibilities include establishing model training practices, writing content for AI, and evaluating response quality. The role also involves developing AI-driven prototypes and working with multi-modal interfaces, indicating a strong connection to building and refining AI systems. | Post-trainAgent | 7 |
| Senior Software Developer, Applied AI, Google Cloud Senior Software Developer role focused on building cloud-based integration platforms for AI agents in customer support, connecting Generative AI to users across chat and voice surfaces. The role involves end-to-end development, technical leadership, and collaboration with product, UX, and AI research teams. | AgentServe | 7 |
| Software Engineer III, AI/ML, Google Play Software Engineer III role at Google Play focused on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. The role involves writing product/system development code, collaborating with peers, contributing to documentation, triaging issues, and debugging. Requires experience in Python/C++, and ML infrastructure or a specialization in an ML field like speech/audio or reinforcement learning. | Serve | 7 |
| Staff Software Engineer, Horizontal Compliance Platform Tooling, GenAI Staff Software Engineer to lead the technical strategy for a Generative AI pillar focused on building an extensible agent platform for automating compliance execution within Google Cloud Platform services. Responsibilities include static code analysis, auto-generating compliance code, and providing chat assistance for technical questions. | Agent | 7 |
| Senior Staff Software Engineer, App Hub Senior Staff Software Engineer role focused on defining the roadmap and architecture for Agentic Applications within Google Cloud. The role involves developing an intelligent query layer, driving cross-organizational collaboration for agent ingestion and serving, and owning complex roadmaps related to exabyte-scale storage solutions for these applications. | Agent | 7 |
| Senior Software Engineering Manager, Flume ML Seeking an Engineering Manager with an infrastructure technical background to lead a team focused on optimizing planet-scale data processing infrastructure. This platform powers foundational AI/ML features and next-generation AI initiatives, with a focus on advancing scheduleability and auto-tuning for ML pipelines and standard data workloads. The role involves leading research into AI-driven optimization strategies and collaborating with teams working on frontier AI models. | Serve | 7 |
| Software Engineer, Full Stack, NotebookLM Software Engineer role focused on transforming a web application (NotebookLM) to support interconnected AI agents and long-running, goal-seeking tasks, balancing user simplicity with agentic workflow power for mass consumer markets. The role involves end-to-end feature prototyping and building, linking back-end capabilities to user journeys, and driving engineering-product alignment in an evolving AI space. | Agent | 7 |
| Senior Technical Solutions Consultant Senior Technical Solutions Consultant role focused on architecting and implementing a Digital Twin ecosystem for Google's consumer hardware product design and manufacturing. The role involves full-stack GCP cloud-native development, integration of Vertex AI/Gemini Enterprise, and pioneering autonomous agents for insights and automations. Responsibilities include engineering microservices, deploying and monitoring AI agents, and leading code reviews for both full-stack code and agentic orchestration. | AgentServe | 7 |
| Staff Software Engineer, Agentic Data and Evals Staff Software Engineer focused on building and launching tools and solutions for GenAI data generation and evaluations. The role involves developing a self-service data generation platform, performing LLM/GenAI model evaluations, and fine-tuning models using techniques like RLHF. The engineer will work cross-functionally to deliver high-quality data sets and evaluation infrastructure for various GenAI use cases. | Eval GatePost-train | 7 |
| Senior Software Engineering Manager, Mobile Maps Innovation Senior Software Engineering Manager for Mobile Maps Innovation at Google. This role involves leading strategy and execution for new ways users search and interact with the physical world, focusing on leveraging location history and on-device components to provide intelligent, predictive context. The manager will oversee feature development, drive user-facing product initiatives (e.g., monetization), manage cross-functional projects, and grow/mentor a team. A key aspect is driving GenAI adoption and managing the deployment of models like Gemini Nano on hardware for validation. | Ship | 7 |
| Staff Data Scientist, Discover Personalization and Quality Staff Data Scientist role focused on personalization and quality for Google Discover, involving the development and improvement of retrieval and ranking ML systems. The role requires leveraging AI and LLM techniques to enhance user experience and product growth, with responsibilities including analysis, research, and technical leadership. | Ship | 7 |
| SoC Vision Architect, Silicon, Google Cloud This role focuses on architecting the hardware (SoC Vision Architect) for AI/ML applications, specifically Tensor Processing Units (TPUs) and their associated imaging pipelines (ISP, CODECS). The goal is to define custom silicon solutions that power Google's demanding AI/ML workloads, optimizing for power, performance, and area while integrating advanced computational imaging algorithms and potentially deploying neural networks on specialized hardware. | Serve | 7 |
| Senior Staff Software Engineer, Search Intelligence Senior Staff Software Engineer role at Google, focusing on Search Intelligence. The role involves technical leadership, designing, developing, and enhancing large-scale software solutions, collaborating with AI/ML researchers and Product Managers, and ensuring the reliability and scalability of Search Intelligence features for the Indian market. Requires 8 years of software development experience and experience in technical leadership. | Ship | 7 |
