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 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.
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 |
|---|---|---|
| Software Engineer, AI Application and Agentic Development Software Engineer role focused on building AI-driven tools and infrastructure for testing Pixel devices. The role involves creating autonomous agents, developing scalable AI-native infrastructure, and integrating AI into CI/CD pipelines and HIL systems. Emphasis on agentic development, LLMs, and internal productivity tools. | AgentServe | 8 |
| Senior Software Engineering Manager, Search AI Quality and Protections Senior Software Engineering Manager for Google Search AI Quality and Protections. This role involves leading a team of over 20 engineers to ensure the integrity, reliability, accuracy, and safety of advanced Search features, including AI Overviews and AI Mode. The team focuses on developing safeguards, model improvements, and ranking refinements for high-stakes queries in health, civics, and finance, bridging the gap between model capabilities and rigorous quality standards. |
| ShipPost-train |
| 8 |
| Senior Staff Software Engineer, ML Infrastructure, Agents Infrastructure Senior Staff Software Engineer focused on building and scaling ML infrastructure for conversational agents in an enterprise AI context. The role involves designing and implementing back-end services, agent APIs, and infrastructure for autonomous tool use and multi-step goal achievement. It also includes developing analysis systems for massive data streams and robust monitoring/explainability frameworks, with collaboration with Google DeepMind and Vertex AI. | AgentServe | 8 |
| Senior Silicon System and Software Integration Engineer, Google Cloud This role focuses on the hardware-software integration and validation of AI/ML hardware accelerators (TPUs) for Google Cloud. The engineer will work on ASIC development, validation, software, tools, and methodologies to ensure the functionality and performance of these custom silicon solutions that power Google's AI/ML applications. | Serve | 8 |
| Software Engineering Manager, Google Photos Android Manage and lead a team of Android engineers building AI-powered user-facing features for Google Photos, focusing on LLM integration, agent capabilities, and multi-modal understanding to enhance user interaction and simplify tasks. The role involves technical leadership, people management, and scaling LLM infrastructure. | AgentServe | 8 |
| Senior Staff Machine Learning Software Engineer, Search Ranking Senior Staff Machine Learning Software Engineer for Google's Feed Recommendation team, focusing on identifying and solving technical challenges in content retrieval, ranking, quality, and personalization. The role involves developing and deploying models, including LLMs and multi-modal systems, to analyze and recommend content at a massive scale for billions of users. This position requires driving end-to-end solutions and advancing key recommendation domains. | ShipAgent | 8 |
| Senior Software Engineer, AI/ML GenAI, Google Ads Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Ads, leveraging ML infrastructure and state-of-the-art GenAI techniques like LLMs and Multi-Modal models. Requires strong programming skills, experience with ML infrastructure, and a solid understanding of GenAI concepts. | Agent | 8 |
| Security Engineering Manager, Trust and Safety, Gemini and Labs Security Engineering Manager for Google's Trust and Safety team focused on Gemini and Labs generative AI products. The role involves leading strategy, research, and execution to combat novel GenAI threats, providing technical leadership in cyber-security, intelligence, and threat analysis, and mentoring a team to build defenses against the misuse of generative models and agents. Responsibilities include identifying risks, translating insights into mitigation goals, providing technical leadership for anti-abuse defenses, leading adversarial simulations and assessments, and directing incident response. | Agent | 8 |
| Senior Staff Software Engineer, AI/ML GenAI, Google Ads Senior Staff Software Engineer role focused on designing, developing, and deploying large-scale GenAI solutions within Google Ads. This role involves technical leadership, ML infrastructure optimization, and working with state-of-the-art GenAI techniques like LLMs and Large Vision Models. | ShipServe | 8 |
| Senior Software Engineering Manager, AI/ML, Google Cloud AI Senior Software Engineering Manager for Google Cloud AI Research, responsible for leading teams, setting technical strategy, and overseeing the design and implementation of large-scale ML infrastructure and solutions across specialized ML areas, with a focus on research impacting various industries. | ServePost-train | 8 |
| Staff Software Engineer, ML Quality, Applied AI Staff Software Engineer focused on building and optimizing agents for customer experience, leveraging Gemini and Vertex AI. The role involves developing automated systems for agent creation and refinement, embedding AI into client-facing infrastructure, and establishing engineering benchmarks for optimization. This is an applied AI role within enterprise AI, focusing on building full-stack concierge agents for sales and support. | Agent | 8 |
| Senior Software Engineer, AI/ML, Shopping Senior Software Engineer role focused on building a 'Business Analyst Agent' using Gemini/AI for Google Shopping. The agent will help merchants by answering performance-related questions, identifying opportunities, and acting on their behalf. The role involves designing and implementing ML solutions, leveraging ML infrastructure, and potentially working with speech/audio or reinforcement learning. | AgentServe | 8 |
| Staff Software Engineer, AI/ML GenAI, Google Workspace Staff Software Engineer at Google working on GenAI for Google Workspace products. The role involves designing, developing, and deploying large-scale AI/ML solutions, optimizing ML infrastructure, and guiding data preparation and model optimization. It requires technical leadership and experience with state-of-the-art GenAI techniques, impacting billions of users. | ShipServe | 8 |
| Senior Software Engineer, Cloud AI/ML Infrastructure Senior Software Engineer role focused on optimizing the performance, developing tools, and troubleshooting AI/ML training and inference workloads within Google's AI infrastructure. The role involves working with distributed computing, GPUs/TPUs, and ensuring the reliability and efficiency of AI services. | Serve | 8 |
| Senior Software Engineer, AI/ML GenAI, Google Workspace Senior Software Engineer to design and implement GenAI solutions for Google Workspace products, leveraging ML infrastructure and state-of-the-art GenAI techniques like LLMs and Multi-Modal models. The role involves writing and testing product code, collaborating with stakeholders, and evaluating tradeoffs between different techniques. | Ship | 8 |
| Senior Software Engineer, AI/ML, Google Cloud Senior Software Engineer role focused on AI/ML within Google Cloud, working on AI and Infrastructure teams to deliver AI capabilities at scale. Responsibilities include writing and testing code, designing and implementing ML solutions, leveraging ML infrastructure, and triaging/debugging system issues. Requires experience in Python/C++, software development, and specific ML areas like speech/audio, reinforcement learning, or ML infrastructure. | Serve | 8 |
| Software Engineer, GPU Performance Software Engineer focused on optimizing GPU performance for Google's AI/ML infrastructure, impacting billions of users. Responsibilities include low-level GPU programming, performance engineering, and influencing the GPU software ecosystem and fleet deployment. | Serve | 8 |
| Software Engineer, AI/ML, PhD, Early Career Software Engineer role focused on scaling data optimization techniques to improve ML model performance and quality, working with Research teams and ML practitioners to build and iterate on engineering tools and processing pipelines. The role emphasizes the data-centric nature of AI in the Gemini era and improving model quality through data optimization. | Data | 8 |
| 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. | AgentServe | 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 |
| 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 |
| 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 |
| 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 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 |
