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 514 active AI roles, with 1186 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google currently has 607 active AI-related roles in our index. The most common open titles are: Software Engineer (4), AI Adoption Customer Engineer, Google Cloud (3), Senior Software Engineer (3), AI Outcome Customer Engineer, Cloud AI Tech GTM (2), Conversational AI Consultant (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (26%), application (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Google is hiring AI talent in: United States (388 roles), India (50 roles), Singapore (43 roles), Poland (23 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 605 new AI-related roles. That is a +29% change versus the prior 30 days (469 → 605).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer, AI/ML GenAI, Google Cloud Compute Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Cloud Compute, leveraging ML infrastructure and evaluating different techniques. Requires strong programming skills, experience with ML infrastructure, and knowledge of state-of-the-art GenAI techniques. | ServePost-train | 8 |
| Software Engineer, GKE, PhD, Early Careers Google Cloud is seeking a Software Engineer to work on workload orchestration, specifically implementing a Cognitive Architecture where AI agents act as 'Principal Engineers' to write, validate, and deploy deterministic orchestration code. This role focuses on optimizing infrastructure for GenAI inference and improving resource utilization using AI. | Agent |
| 8 |
| Silicon RTL Design Engineer, PhD, Early Career This role focuses on designing and architecting next-generation Tensor Processing Units (TPUs) for AI/ML workloads. Responsibilities include defining architecture, developing power/performance models, RTL design, and collaborating with hardware, software, and ML teams for effective hardware/software co-design. The role also involves using AI techniques for physical design and optimizing silicon bring-up processes. | Serve | 8 |
| Senior Software Engineer, AI/ML GenAI, Google Workspace Senior Software Engineer to design and implement generative AI solutions for Google Workspace products, leveraging ML infrastructure and state-of-the-art GenAI techniques to impact billions of users. | Ship | 8 |
| Software Engineer III, AI/ML GenAI, Google Cloud Data Management Software Engineer III role at Google Cloud focused on implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. Requires experience with core GenAI concepts and text/image/video/audio generation. | Serve | 8 |
| Software Engineering Manager II, AI/ML, YouTube Software Engineering Manager II at Google's YouTube, focusing on AI/ML. This role involves technical leadership, team management, and overseeing the design, implementation, and optimization of ML infrastructure and solutions, including model optimization and data processing strategies. The position requires experience in software development, ML infrastructure, and technical/people leadership. | Serve | 8 |
| Student Researcher, PhD, Winter/Summer 2026 Student Researcher (PhD) position at Google, focusing on exploratory research projects to advance scientific understanding and develop next-generation intelligent systems. The role involves participating in research, developing solutions for large-scale problems, and potentially contributing to publications. | Pretrain | 8 |
| Software Engineer III, AI/ML GenAI, Google Cloud AI Software Engineer III on the Google Cloud AI team focused on GenAI, responsible for implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. The role involves coding, collaboration, debugging, and working with core GenAI concepts and various data modalities. | ServePost-train | 8 |
| Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start Google is seeking PhD graduates for Software Engineer roles focused on AI/Machine Learning. The role involves developing and deploying advanced ML systems across the full stack, from hardware acceleration to production APIs, and transforming research expertise into scalable products. The position requires experience in ML/AI and coding, with a preference for large-scale distributed environments and deep learning frameworks. | Post-trainServe | 8 |
| Software Engineer III, AI/ML, Google Cloud, Automotive Software Engineer III role at Google Cloud focusing on AI/ML within the Automotive domain. Responsibilities include writing product/system code, collaborating on best practices, contributing to documentation, triaging issues, and implementing ML solutions with a focus on ML infrastructure, model optimization, and data processing. Requires experience in speech/audio, reinforcement learning, or ML infrastructure. | Serve | 7 |
| Software Engineer, AI/ML GenAI, Geo Software Engineer role on the Geo team focused on implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements for Google's mapping products. Requires experience with software development and ML infrastructure, with a focus on GenAI techniques like LLMs and Large Vision Models. | Ship | 7 |
| Solutions Architect, Google Forge, Google Cloud This Solutions Architect role focuses on designing and developing AI-powered solutions on Google Cloud Platform for enterprise customers. The role involves leading prototypes, mentoring teams, and advising on AI roadmaps, including fine-tuning and RAG. It requires experience in ML systems design, the AI model lifecycle, and deploying AI solutions using ML frameworks. | AgentServe | 7 |
| Senior Software Engineer, Android Trust Senior Software Engineer on the Android Trust team, focusing on protecting users from abusive apps using ML, generative AI, and agentic AI threat models. Responsibilities include developing analysis platforms, system-level code for app inspection, and leading design reviews for defense strategies against agentic AI threats. The role involves novel research and publishing in security conferences. | Agent | 7 |
| Health and Home UX AI Transformation Lead Lead UX AI transformation for Health and Home, bridging design and AI to evolve teams into an AI-native design unit. Guide partners through technical shifts, redefine collaboration, and explore next-generation user experiences with proactive, agentic, and personalized interactions. Integrate AI into the PDLC to accelerate launch times and serve as a strategic advisor on AI's long-term implications. | Agent | 7 |
| Software Engineer III, AI/ML, Gmail Ads Quality Software Engineer III, AI/ML role focused on improving Gmail Ads personalization and advertiser value optimization by applying machine learning in auction models (predicted click-through-rate, predicted conversions, bidding, etc.). The role involves writing product/system development code, designing and implementing ML models and optimization algorithms, designing/running/analyzing/launching experiments, triaging issues, and implementing solutions in specialized ML areas with a focus on model optimization and data processing. | ServeData | 7 |
| Senior Software Engineer, AI/ML, Workspace Google Workspace is integrating GenAI features across its suite of productivity apps (Gmail, Docs, Drive, Calendar, Sheets, Meet, Voice, Chat). This Senior Software Engineer role will focus on applying ML to improve Gmail abuse detection, leveraging ML infrastructure, and designing/running experiments for training large language models, deep learning, and graph mining models. The role involves collaborating with model builders and impacting billions of users. | Data | 7 |
| Senior Technical Program Manager I, Workspace Program Management This role is for a Senior Technical Program Manager at Google Workspace, focusing on building an ecosystem for AI features, including Generative AI and agents. The role involves working across frontend, serving, and integrations, partnering with internal and external teams to create cross-product flows and empower the implementation of agents. The goal is to shape the user experience and drive improvements across Workspace products, impacting billions of users. | Agent | 7 |
| AI Infrastructure Engineer Google Cloud Consulting Professional Services team seeks an AI Infrastructure Engineer to design and implement machine learning solutions for customer use cases, leveraging Google Cloud products like TensorFlow, DataFlow, and Vertex AI. The role involves working with customers to identify ML opportunities, deploy solutions, deliver workshops, and provide technical guidance on ML systems, feature engineering, data validation, monitoring, and model management. The engineer will act as a trusted technical advisor, coach customers on practical ML challenges, and collaborate with product teams to deliver tailored solutions into production. Responsibilities include creating best practices, tutorials, and sample code, with up to 30% travel. | Serve | 7 |
| Senior Software Engineer, AI/ML, Core Senior Software Engineer for Google's AI/ML Core team, focusing on building and scaling AI and infrastructure capabilities. The role involves writing and testing product/system code, collaborating on design and code reviews, triaging and debugging issues, and designing/implementing solutions in specialized ML areas leveraging ML infrastructure. | Serve | 7 |
| Senior Software Engineer, Android Dialer, Calling Protection Senior Software Engineer on the Android Dialer team, focusing on on-device AI for calling protection. The role involves modernizing client infrastructure to support AI features like Scam Detection and Agentic Call Screen, implementing on-device Gemini Nano models, and architecting high-throughput reasoning pipelines for real-time ML signals. The goal is to scale Google's AI protection suite across the entire Android ecosystem. | AgentServe | 7 |
| Senior Software Engineer, Enterprise AI Senior Software Engineer on the Enterprise AI team at Google, focusing on applying AI/ML to internal enterprise challenges. The role involves designing, developing, and deploying advanced AI and agentic solutions, and contributing to reusable AI primitives and foundational building blocks for other ML engineers. | Agent | 7 |
| XR Audio Face Tracking ML Software Engineer Software Engineer for Google's XR team focusing on developing and optimizing ML models for real-time facial motion tracking from multimodal inputs on low-power XR devices. The role involves algorithm research, data synthesis, performance optimization, and delivering production-ready models and pipelines. | ServeData | 7 |
| Senior Software Engineer, Vertex AI on GDC Senior Software Engineer role focused on deploying and optimizing AI models (specifically Gemini) within a Google Distributed Cloud (GDC) environment, leveraging Kubernetes and containerization. The role involves working with AI infra services and optimizing models for GPU constraints. | Serve | 7 |
| Senior Software Engineer, Agent Development Kit Senior Software Engineer to design and build the core implementation of the Agent Development Kit (ADK), managing complex challenges in distributed systems and software architecture for a scalable framework for AI agents. The role involves working with customers on onboarding to the ADK and GenAI ecosystem, managing project priorities, and contributing to an open-source product. | Agent | 7 |
| Senior Research Engineer, Autonomous Driving Simulation This role focuses on designing and implementing solutions in specialized ML areas, leveraging ML infrastructure, with a strong emphasis on reinforcement learning and ML infrastructure components like model deployment, evaluation, and data processing for autonomous driving simulation. | Data | 7 |
| Senior Staff Software Engineer, Search Evaluation Infrastructure Development Senior Staff Software Engineer focused on developing evaluation infrastructure for generative AI features in Google Search. The role involves pioneering Evaluation-Driven Development (EDD), establishing evaluation rubrics, cultivating scalable automated rating infrastructure, and delivering continuous tracking systems to improve development speed and confidence. Key responsibilities include designing and enhancing large-scale evaluation software, providing technical leadership, managing project priorities, and ensuring the reliability, capacity, and effectiveness of automated rating systems. | Eval Gate | 7 |
| Senior Security Engineer, Uppercase Research This role focuses on building and scaling autonomous security operations using AI agents and LLM-driven pipelines. The engineer will design and deploy intelligent agentic workflows for threat hunting and automated detection, transforming static security workflows into self-correcting, LLM-driven pipelines that automate the detection lifecycle. The role involves deep-dive technical analysis of adversary behavior to train ML models and ground agentic workflows, and creating tooling to support automated security operations. | Agent | 7 |
| Customer Engineer, AI Infrastructure, Google Cloud Customer Engineer focused on deploying and optimizing AI infrastructure (TPUs/GPUs) for customers on Google Cloud Platform, supporting AI training and inference solutions. This role involves deep technical expertise in AI hardware, distributed systems, and performance tuning for large-scale AI workloads. | ServePost-train | 7 |
| Senior Product Manager, AI and Compute Infrastructure Product Manager for AI and Compute Infrastructure at Google Cloud, focusing on delivering a scalable and reliable AI substrate for the agentic era. This role involves defining the roadmap for GKE Node OS, driving customization strategies, and partnering with engineering on runtime primitives for GPU/TPU workloads to support AI/ML development and deployment. | ServeAgent | 7 |
| Senior Software Engineer, AI/ML Infrastructure, Ads Senior Software Engineer role focused on AI/ML Infrastructure for Google Ads. The role involves designing and implementing solutions in specialized ML areas, leveraging ML infrastructure, and demonstrating expertise in fields like speech/audio or reinforcement learning. Key responsibilities include writing and testing code, collaborating on design and code reviews, triaging issues, and debugging. Minimum qualifications require significant experience in software development, testing, and ML infrastructure, including areas like model deployment, evaluation, optimization, data processing, and debugging. | Serve | 7 |
| Software Engineer III, Perception, XR Software Engineer III, Perception, XR at Google, focusing on on-device deep learning for audio enhancement and speech understanding in smart wearable glasses. The role involves developing and evaluating speech enhancement algorithms, experimenting with ML modeling, and acquiring data for training models. | Post-trainData | 7 |
| Team Lead, Mobile App, Ads, Serving, AI Focused Team Lead for a Mobile App Ads platform, focused on AI and ML. Responsibilities include writing and testing code, collaborating with stakeholders, triaging issues, and designing/implementing ML solutions using ML infrastructure. Requires experience in software development, ML infrastructure, and specialization in areas like Speech/audio, reinforcement learning, or other ML fields. | Serve | 7 |
| Software Engineer III, AI/ML, Chrome Autofill Software Engineer III at Google, working on AI/ML for Chrome Autofill. The role involves developing and launching models and infrastructure for AI experiences, with a focus on agentic systems that drive web interactions. Responsibilities include model development, design reviews, collaboration with product managers, and implementing models within an agentic system for high-quality web site actuation. Requires experience in software development, ML infrastructure, and familiarity with agentic workflows and LLMs. | AgentServe | 7 |
| AI Adoption Customer Engineer, Google Cloud Customer Engineer role focused on driving adoption of Google Cloud enterprise AI products, acting as a trusted advisor and technical leader for customers. Responsibilities include developing and executing AI deployment plans, identifying new AI use cases, and resolving technical blockers to accelerate customer time-to-value. Requires experience with cloud-native enterprise architecture, AI/GenAI solutions, multi-agent workflows, and RAG systems. | Agent | 7 |
| Staff Software Engineer, AI Intelligent Database Management Staff Software Engineer role focused on building and managing AI-assisted intelligent database management systems for enterprises. The role involves developing agentic experiences and LLM-based conversational agents to monitor and manage database fleets at scale, integrating with cloud databases and GCP services. Requires strong software engineering skills with significant experience in ML design, ML infrastructure optimization, and GenAI techniques. | AgentServe | 7 |
| Senior Security Engineer, Google Threat Intelligence Group This role focuses on understanding and mitigating security threats related to AI/ML systems within a client-facing context, acting as a lead onsite authority for AI technologies. Responsibilities include producing threat intelligence, communicating findings, fostering collaboration, and developing best practices for integrating AI-driven detection into the SDLC. The role requires experience with security assessments, engineering, and CTI methodologies, with a strong emphasis on AI/ML security. | Ship | 7 |
| Software Engineer, Android Trust Software Engineer role focused on protecting Android users from abusive apps by developing and scaling analysis platforms, implementing system-level code for deep inspection, and architecting defense strategies for agentic AI threat models. The work involves supervised/unsupervised ML and generative AI for security violations, static/dynamic program analysis, and threat mitigation. | Agent | 7 |
| Software Engineering Manager, Android Automotive AI/ML Software Engineering Manager for Android Automotive AI/ML, responsible for leading teams, setting technical direction, and shipping on-device ML products in the automotive domain. Focuses on integrating Google's AI technologies into vehicles. | Ship | 7 |
| Product Manager II, AI Crisis Resilience Product Manager to define and execute strategy for AI-powered crisis response experiences across Google Search, focusing on timely, accurate, and life-saving information during environmental and humanitarian crises. This role involves leading the development of AI-first systems, partnering with engineering and research teams, and balancing innovative AI solutions with data accuracy and trustworthiness. | Ship | 7 |
| Senior Developer Relations Engineer, AI Infrastructure Senior Developer Relations Engineer focused on AI Infrastructure, specifically GKE, Kubernetes, GPUs, and TPUs for training, fine-tuning, and inference workloads. The role involves building and running these workloads, creating developer content (demos, blogs, videos), and providing feedback to engineering teams. Requires experience with AI/ML workloads and producing developer content. | ServePost-train | 7 |
| Software Engineer III, Play Search Gateway, Homepage and Suggest Software Engineer III at Google working on Play Store Search Gateway, Homepage, and Suggest features. The role involves designing and developing backend services, implementing new features, and applying ML and Generative AI to enhance user experience, impacting billions of users globally. Responsibilities include working with LLMs and DNNs for query suggestions and personalized content, analyzing user data, and collaborating with cross-functional teams. | Ship | 7 |
| Staff Software Engineer, Network Health This role focuses on engineering the network infrastructure that supports large-scale AI/ML training and serving at Google. The engineer will define the roadmap for repair automation, design agentic diagnostic systems using Generative AI, integrate new hardware, lead safety initiatives like anomaly detection, and mentor junior engineers. The role requires experience with ML infrastructure, generative AI tools, and software development. | ServeAgent | 7 |
| Customer Engineer AI, Financial Services, Google Cloud Customer Engineer specializing in Gemini Enterprise, partnering with Technical Sales to integrate generative AI into enterprise environments. The role involves architecting secure, data-connected solutions beyond chat interfaces, engaging with customers to understand requirements, and presenting solutions on Google Cloud. It requires blending business expertise, market knowledge, and technical engagement to demonstrate the value of Google Cloud's AI portfolio. | Agent | 7 |
| Software Engineer III, Computer Vision, Pixel Camera Software Engineer III for Google's Pixel Camera team, focusing on computer vision and computational photography features. This role involves the full product lifecycle from research and algorithm development to optimization and commercialization, aiming to enhance image quality and create new visual experiences on Pixel phones. Experience with ML infrastructure and C++ is required. | ShipAgent | 7 |
| Senior Engineering Analyst, Workspace AI, Trust and Safety This role focuses on ensuring the safety and integrity of Workspace AI products by developing and implementing anti-abuse policies, strategies, and evaluation frameworks. It involves analyzing data, identifying safety issues, and collaborating with engineering and product teams to mitigate risks. | Eval GatePost-train | 7 |
| Software Engineer, Discover Recommendations and AI Feed Software Engineer role focused on end-to-end personalization for Google Search and Discover, involving retrieval, ranking, user understanding, and prediction. The role will work on modeling problems including sequence-based user understanding, real-time training, and personalization with LLM empowerment, building and deploying recommendation systems models, and optimizing ML infrastructure. | ShipData | 7 |
| Senior Software Engineer, Discover Recommendations and AI Feed Senior Software Engineer role focused on end-to-end personalization for Google Discover Recommendations and AI Feed. The role involves working on state-of-the-art modeling problems including sequence-based user understanding, real-time training, and LLM empowerment for personalization. Responsibilities include innovating recommendation algorithms, experimenting with novel signals and architectures, and designing/implementing recommendation system models using ML infrastructure. | ShipData | 7 |
| AI Adoption Customer Engineer, Google Cloud Customer Engineer focused on driving adoption of Google Cloud enterprise AI products, acting as a trusted advisor and technical leader for customers. Responsibilities include developing and executing AI deployment plans, resolving technical blockers, and identifying new AI use cases. Requires experience with AI/GenAI solutions, multi-agent workflows, and RAG systems. | Agent | 7 |
| Software Engineer II, Google Cloud Platform, Infrastructure Software Engineer II for Google Cloud Platform, focusing on the Kueue project, a CNCF open-source scheduler for AI workloads on Kubernetes. The role involves designing and building sophisticated scheduling solutions for accelerators (TPUs, GPUs) and large-scale CPU workloads, with a focus on algorithm design, system performance, and Kubernetes internals. The team also pioneers the use of Agentic AI for code development and issue diagnosis. | Serve | 7 |
| Senior Software Engineer, Local Ads Integrity and Spam This role focuses on leveraging Machine Learning at scale to solve problems in advertiser integrity, accelerated verification, and spam prevention within Google's Local Ads platform. The engineer will build infrastructure, improve quality, and design user experiences to ensure trust and safety for advertisers and users. The role involves managing 0-to-1 challenges and driving product features from design to launch. | Agent | 7 |
