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, with 1186 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google currently has 586 active AI-related roles in our index. The most common open titles are: Software Engineer (5), AI Adoption Customer Engineer, Google Cloud (3), Conversational AI Consultant (2), Engineering Manager, Egregious Abuse Protection (2), Forward Deployed Engineer III, Generative AI, Google Cloud (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (25%), application (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Google is hiring AI talent in: United States (376 roles), India (53 roles), Singapore (40 roles), Switzerland (20 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 571 new AI-related roles. That is a +22% change versus the prior 30 days (469 → 571).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer, AI/ML, AI and Infrastructure Senior Software Engineer on the AI and Infrastructure team at Google, focusing on developing and scaling AI/ML capabilities and infrastructure for Google's products and customers. The role involves writing and testing code, collaborating on design and code reviews, triaging issues, and designing/implementing solutions in ML areas leveraging ML infrastructure. | Serve | 8 |
| Senior Software Engineer, AI/ML GenAI, YouTube Senior Software Engineer at Google's YouTube focusing on GenAI solutions. The role involves designing and implementing GenAI features, leveraging ML infrastructure, and evaluating different techniques. Requires strong programming skills in Python/C++, experience with ML infrastructure, and knowledge of state-of-the-art GenAI techniques like LLMs and Multi-Modal models. | Agent |
| 8 |
| Senior Software Engineer, Kernels and Performance, Core ML Frameworks Senior Software Engineer focused on optimizing ML kernels and infrastructure for TPUs and GPUs, impacting both training and inference performance for Google's AI models and cloud customers. This role involves deep technical work on low-level languages and collaboration with ML researchers and framework developers. | ServePost-train | 8 |
| Senior Software Engineer, Machine Learning, Vertex AI Senior Software Engineer on the Vertex Generative AI Media team, focusing on transforming generative models into high-performance engines for enterprise customers. The role involves managing post-training issues, including Multimodal Supervised Fine-Tuning (SFT) and Latent Distillation, to ensure brand-aligned, production-grade media generation. The engineer will build custom-tailored Generative Media by fusing Google's video and image foundations with proprietary enterprise data. | Post-trainServe | 8 |
| Senior Software Engineer, AI/ML GenAI, GCP Senior Software Engineer role focused on designing and implementing GenAI solutions using ML infrastructure within Google Cloud. Requires experience in programming, ML infrastructure, software testing, and Generative AI techniques. | Agent | 8 |
| Senior Software Engineer, Machine Learning, Core ML Senior Software Engineer on the RecML team, focused on scaling machine learning for recommendations and user modeling. The role involves architecting and implementing model-parallel training, optimizing transformer models, and writing low-level code for performance. This is a horizontal ML infra and efficiency role supporting the training framework of foundation recommender models. | Pretrain | 8 |
| Staff Software Engineer, On-Device Machine Learning Staff Software Engineer role focused on leading the technical direction of On-Device Machine Learning (ODML) and generative AI (GenAI) at Google. The role involves creating roadmaps for developer-facing APIs, SDKs, and tools, solving complex optimization problems for GenAI performance on mobile hardware, designing resilient systems, and coordinating efforts across multiple teams. The position requires extensive experience in software development, ML infrastructure, and launching software products, with a focus on optimizing LLM workflows for on-device deployment. | ServeAgent | 8 |
| Staff Software Engineering, YouTube ML Efficiency Staff Software Engineer focused on ML efficiency for YouTube's recommendation systems, working on model architectures, training procedures, and scaling experimentation on TPUs. The role involves optimizing ML infrastructure, reducing complexity in the ML ecosystem, and automating training, evaluation, and serving. | ServeData | 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 |
| 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 |
| Research Scientist, Google Research Research Scientist at Google Research focusing on fundamental research and innovation in AI/ML, contributing to intelligent systems for Google products. Responsibilities include authoring research papers, defining research solutions, conducting experiments, and developing research prototypes. Requires a PhD and publication record, with preferred experience in owning research agendas. | Pretrain | 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, 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Senior Developer Relations Engineer, AI Foundation and Security Senior Developer Relations Engineer for AI Foundation and Security at Google. This role involves building production-ready AI applications, integrating AI into secure workflows, demonstrating deployment at scale, and creating content to drive developer adoption of Google Cloud and Google AI. The role also involves providing feedback on AI features and influencing product roadmaps. | Agent | 7 |
| Technical Program Manager, Applied Technical Expertise Enablement, GCP Technical Program Manager focused on enabling Google Cloud developers with AI expertise. This role involves leading the creation and execution of technical learning strategies, authoring and curating content, and designing learning experiences that help engineers build AI-native features and AI-first products. The position bridges traditional CS systems, Cloud product development, and AI-driven engineering, with a focus on practical application and adoption of AI tools within learning. | Agent | 7 |
| Staff Data Scientist, Search AI Overview Data Scientist role focused on leveraging GenAI model capabilities to improve the Google Search experience, involving analysis, measurement, and cross-functional development. The role aims to understand user needs, unlock new use cases, and drive product development and business outcomes. | Ship | 7 |
| Business Data Scientist, Customer Voice, Analytics This role focuses on developing and deploying NLP and machine learning models to extract insights from customer conversations for a Go-to-Market team. It involves identifying trends, predicting customer behaviors, and ensuring statistical rigor in reporting, with a focus on Large Language Models and prompt engineering. | Post-trainData | 7 |
| Director, Product Management, Shopping Graph Enrichment Director of Product Management for Google's Shopping Graph enrichment and personalization portfolio. This role sits at the intersection of platform strategy and advanced machine learning, focusing on transforming the product catalog to power personalized shopping assistants and organic search. Key areas include scaling signal collection for fulfillment, using ML to organize brand and user content, and leveraging personal data for recommendations. The role requires influencing engineering, data science, and senior leaders across Google's ecosystem, managing sensitive first-party data responsibly, and operating with high autonomy. | Agent | 7 |
| Product Manager II, YouTube Growth Platform Product Manager for YouTube's Growth Platform, focusing on ML ranking algorithms for content promotion to drive user engagement (watchtime, feature usage) and subscriptions. This role involves leading the ML roadmap, partnering with engineering and data science, and advocating for growth platform impact. | ShipAgent | 7 |
| Group Product Manager, Google Commerce, Consumer Shopping Product leader for Google Consumer Shopping, focusing on building AI-powered shopping journeys and experiences. This role requires a deep understanding of the retail landscape, AI/ML technologies, and the ability to drive strategy and execution across cross-functional teams to launch and scale consumer-facing products. | Ship | 7 |
