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 delivering AI and Infrastructure at scale. The role involves designing and implementing ML solutions, leveraging ML infrastructure, and contributing to product/system development. Requires experience in Python/C++, software design, and ML infrastructure, with a specialization in areas like speech, reinforcement learning, or ML infrastructure. | ServeData | 7 |
| Software Engineer III, AI/ML, Core Software Engineer III, AI/ML, Core at Google, focusing on building the technical foundation for Google's flagship products. This role involves writing product/system development code, implementing solutions in specialized ML areas, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience with ML infrastructure such as model deployment, evaluation, optimization, and data processing. |
| Serve |
| 7 |
| Group Product Manager, Lens, Consumer Shopping Product Manager for Google Lens and Consumer Shopping, focusing on AI-powered experiences and agentic commerce. The role involves defining strategy, collaborating with cross-functional teams, and leading innovation by motivating engineering teams to build and deploy complex software solutions using ML and LLMs. Requires experience in product management, launching technical products, and building AI-powered features. | ShipAgent | 7 |
| Staff AI Product Designer, Gemini Assistant, DeepMind Staff AI Product Designer for Gemini Universal Assistant, focusing on user interface and consumer experience design for a conversational AI product. The role involves contributing to product strategy, translating user needs into design solutions, and creating high-fidelity visual designs. Requires significant product design experience and a portfolio. | Ship | 7 |
| Staff Software Engineer, ML Compilers, TPU Staff Software Engineer focused on developing and optimizing ML compilers for Google's Tensor Processing Units (TPUs). This role involves contributing to the XLA compiler, targeting high-performance implementations, designing new compiler passes, and collaborating on HW/SW co-design to accelerate machine learning workloads. | Serve | 7 |
| Senior Software Engineer, Generative AI, gUP This role focuses on designing, developing, testing, deploying, and maintaining large software systems for user feedback model serving and an AI assistant for customer support. It involves prototyping, managing project priorities, collecting and analyzing data for ML models, and collaborating with cross-functional teams. The role requires experience with GenAI techniques and ML infrastructure, with a focus on deploying and serving ML models. | ServeData | 7 |
| Staff Data Scientist, AI Mode Staff Data Scientist for Google's AI Mode, integrating Generative AI into Search to redefine user interaction with knowledge for billions globally. Responsibilities include cross-functional interaction, data analysis, driving innovation, end-to-end project ownership, and translating metrics into strategic narratives. | Ship | 7 |
| Staff Software Engineer, YouTube Ads Marketplace Optimization Staff Software Engineer at Google YouTube Ads, focusing on optimizing ad marketplace through large-scale AI systems that model user interests. The role involves leading ML/AI/SW engineers, designing and developing recommendation systems, optimizing ML infrastructure, and guiding model architecture development. Experience with production recommendation systems, ML design, ML infrastructure, and integrating generative AI tools is required. | AgentServe | 7 |
| Software Engineer, AI/ML, Ads Data Software Engineer, AI/ML role at Google Ads focusing on building agentic workflows, LLM features, or generative AI solutions. Requires experience in Python, C++, and designing AI solutions within a business context, with a focus on privacy. | Agent | 7 |
| Product Manager I, Ads Sellside Apps Product Manager for Google Ads Sellside Apps, focusing on evolving targeting and recommendation systems using AI and LLMs. The role involves architecting user journeys, developing a business generation platform for developers, and integrating AI into the advertising business to shape the mobile app ecosystem. | ShipAgent | 7 |
| Staff Model UX Designer, GeminiApp, DeepMind This role focuses on designing the user experience for conversational AI products, specifically GeminiApp within DeepMind. The designer will collaborate with PMs, engineers, and researchers to create end-to-end product experiences, guide prompt engineering, prototype, and assess model performance. The role emphasizes shaping AI from a passive responder to a proactive partner and ensuring cohesive, high-quality multimodal experiences. | ShipEval Gate | 7 |
| Head of Agentic Business Intelligence, Google Cloud Lead a team defining the intersection of enterprise Business Intelligence and Generative AI, focusing on integrating agentic workflows and conversational analytics within Looker for Google's global Go-To-Market Sales organization. This role will define the long-term goals, architecture, and infrastructure for the "Frictionless Intelligence" initiative, creating a blueprint for enterprise Google Cloud adoption. | Agent | 7 |
| Software Engineering Manager II, YouTube Posts Discovery Software Engineering Manager II for YouTube Posts Discovery team, leading a team focused on applied machine learning recommendations to drive Posts Feed growth and quality. This role involves managing engineers, developing technical understanding of search and discovery systems, and partnering with cross-functional teams. | Agent | 7 |
| Product Manager II, YouTube Shorts Effects and AI Product Manager for YouTube Shorts Effects, focusing on Augmented Reality and Generative AI capabilities. The role involves owning the end-to-end roadmap for effects in the camera and editor, defining strategy for first-party and branded effects, and pioneering agentic workflows to scale effect production. Requires experience with Generative AI and consumer product management. | AgentData | 7 |
| AI Outcome Customer Engineer, Forward Deployed Engineering This role is for an AI Outcome Customer Engineer focused on enterprise AI solutions. The engineer will act as an enterprise architect and technical debugger, bridging pre-sales and post-sales execution. Responsibilities include shaping solutions for adoption, leading technical design for integration of models and agents, debugging complex implementation issues, and serving as a liaison to product and engineering teams. The role involves ensuring seamless integration into customer IT ecosystems, including connectors, identity, and data residency, and driving technical delivery strategy. The position emphasizes solving business problems with Google's AI portfolio and Vertex AI platform. | AgentServe | 7 |
| Engineering Manager, Egregious Abuse Protection Engineering Manager for Egregious Abuse Protection, focusing on preventing severe real-world harms like CSAM and child endangerment across Google's flagship products. The role involves developing and deploying advanced abuse-fighting technologies using ML models, heuristics, and data analysis, and managing engineering efforts to protect services and build tools for user trust and external partners. | Agent | 7 |
| Staff Software Engineer, Google Cloud Agentic AI Google is seeking a Staff Software Engineer to lead the design and development of an AI-enabled ecosystem for transforming product introduction and software development life cycles. This role involves building an intelligent launch assistant using LLMs and agentic AI to automate recommendations and streamline workflows, replacing fragmented legacy systems with a unified, scalable architecture. | Agent | 7 |
| Senior Director, Engineering, YouTube Music and Podcasts Senior Director of Engineering for YouTube Music and Podcasts, responsible for end-to-end technical leadership and execution. The role involves setting strategic and technical direction, leveraging Google's strengths in ML and Recommendation systems, and driving growth goals. The team will build innovative community and interactive features, including generative AI features and Lyria for music generation. The role also involves collaborating with Product Management, cross-functional stakeholders, and industry partners. | Ship | 7 |
| Principal Engineer, Architectural Platform Lead, Enterprise Engineering Excellence Principal Engineer to lead architectural platform for Enterprise Engineering Excellence, focusing on unifying Agentic AI and Data platforms. The role involves defining secure and compliant agent interactions with enterprise data and third-party systems, owning architecture for agent lifecycle, retrieval, quality, and LLMOps, and integrating innovations from Google Cloud and DeepMind. | Agent | 7 |
| Staff Software Engineer, AI Agent, Google Cloud IAM Infrastructure Staff Software Engineer at Google Cloud IAM, focused on building the core authorization platform for enterprise AI adoption. This role involves architecting and implementing agentic authorization solutions, leading AI/ML integration into Cloud IAM, and ensuring the security of AI agents and multi-agent ecosystems. The position requires strong software development, distributed systems, and cloud computing experience, with a focus on applying AI/ML to infrastructure and security challenges. | Agent | 7 |
| Software Engineer III, AI/ML Computer Vision, Pixel Camera Software Engineer III at Google Pixel team focusing on AI/ML Computer Vision for mobile camera experiences. Responsibilities include writing product code, collaborating on design and code reviews, triaging issues, and implementing computer vision solutions with ML infrastructure, model optimization, and data processing. Requires 2 years of Python/C++ experience, 1 year in Computer Vision or video generation, and 1 year with ML infrastructure. | Serve | 7 |
| Staff SWE, Compiler Architect, System Performance Modeling Staff SWE role focused on architecting and evolving a co-design simulation platform for next-generation ML accelerators. The role involves establishing correlation infrastructure between simulated performance and physical hardware, identifying system-level bottlenecks at the pre-silicon stage, and providing performance estimates for future ML systems. Experience with ML system architectures, compilers, and optimizing large-scale ML models is preferred. | Serve | 7 |
| Software Engineer III, AI/ML, Retail Ads Software Engineer III, AI/ML, Retail Ads at Google. This role focuses on designing, implementing, and launching Generative AI, LLM, and ML systems to enhance the shopping journey. It involves writing product/system code, collaborating on design/code reviews, executing A/B experiments, triaging issues, and debugging. Requires a Bachelor's degree, experience in Python/C++, applied ML, and building/using large-scale production ML systems. | Agent | 7 |
| Software Engineer III, Perception, XR Software Engineer III for Google's XR team, focusing on on-device deep learning for audio enhancement and speech understanding in smart wearable glasses. The role involves developing and evaluating algorithms for noise filtering, context interpretation, and improving user speech, with a strong emphasis on production readiness and quality. | Post-trainData | 7 |
| Technical Program Manager III, AI Labs, Core Technical Program Manager III for Google's AI Labs, Core team. Responsible for developing and delivering experiments and development efforts to enable AI business transformation capabilities. Will activate and propel a high-velocity AI-native lifecycle across multiple cross-functional pods, maintaining collaboration with distributed partners and stakeholders. Focuses on propelling experimentation and solution development for AI business and product transformation, harnessing AI-native pods for rapid ideation and iteration. Supports rapid cycles of instantiation, mutation, and graduation of initiatives for business goals. Requires experience in generative AI and software development. | Agent | 7 |
| Manager, Support Enablement, Platform Solutions and Delivery, Cloud Support Manager for Support Enablement focusing on transforming support tooling from assisted to autonomous support by leading the Agentic AI strategy. This involves governing the federation of AI agents, designing governance and maintenance processes, and bridging Operations and Engineering to build solutions for case management, troubleshooting, and workflow automation. | Agent | 7 |
| Senior Software Engineer, Motion Algorithms Senior Software Engineer focused on developing and productizing cutting-edge ML models and algorithms for motion and location systems on Android devices and Pixel products. The role involves working on sensor fusion, state estimation, and optimizing these for resource-constrained environments, impacting core features and user experiences. | Post-trainServe | 7 |
| Staff Software Engineer, Agent-Centric Data and APIs Staff Software Engineer role focused on building data pipelines and APIs to support GCP-native AI Agents. This involves technical leadership, full-stack development, and integrating generative AI tools into workflows. | AgentData | 7 |
| Senior Security Engineer, National Security Senior Security Engineer focused on building AI-driven security tools and workflows, including AI-native offensive tools and automated evaluation pipelines for secure code deployment. The role involves integrating LLMs and agentic workflows into operational environments within the Google Public Sector Cyber Defense and Security Operations group. | AgentEval Gate | 7 |
| Senior Software Engineer, Eye Tracking Core Senior Software Engineer on the Google Android XR Team, focusing on developing exceptional sensing algorithms for AR/VR contexts on compute-constrained devices. The role involves writing robust software for perception pipelines, collaborating with ML teams, and optimizing performance for ML perception models on a novel platform. | Serve | 7 |
| Engineering Tech Lead, Google Photos Engineering Tech Lead for Google Photos, focusing on building next-generation reminiscing experiences leveraging Gemini and machine intelligence. The role involves partnering with product and UX teams, deep technical guidance in backend and AI, and launching ML-enabled product features. | Ship | 7 |
| Senior Software Engineering Manager, AI/ML, Compute Infrastructure Senior Software Engineering Manager for Google's Cloud GPU team, responsible for building and maintaining industry-leading GPU fleet and AI Platform. The role involves managing engineering teams, executing technical roadmaps for GPU resilience, integrating new GPU architectures, and overseeing the lifecycle of accelerator solutions for AI workloads. | Serve | 7 |
| RTL Design Engineer, Machine Learning Accelerators RTL Design Engineer focused on AI/ML hardware acceleration, specifically Google's TPUs. The role involves designing and verifying complex digital ASIC designs with a focus on TPU architecture and its integration within AI/ML systems. | Serve | 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 for Google's TPUs. The engineer will architect, develop, and execute these flows, leveraging AI to enhance predictive modeling, automate routing, and optimize chip design processes. The role involves both frontend and backend software system development, partnering with chip design teams to improve PPA and TAT, and evaluating new EDA tools. | Serve | 7 |
| Software Engineer, Youtube Ads, Auction and User Experience Software Engineer role focused on optimizing YouTube Ads marketplace using machine learning and advanced optimization frameworks. Responsibilities include writing product/system code, collaborating on design/code reviews, triaging issues, and implementing ML solutions with a focus on model optimization and data processing. | ServeData | 7 |
| Technical Program Manager III, AI/ML, Google Ads Technical Program Manager III for Google Ads, focusing on managing the ML development lifecycle, leading adoption of agentic engineering tools, and partnering with various teams to drive Ads business objectives. The role involves managing experimentation to continuous self-improvement, feature planning, prioritization, and stakeholder communication. | AgentPost-train | 7 |
| Senior Software Engineer, Eye Tracking Senior Software Engineer role focused on developing and optimizing computational eye models for eye tracking in AR/VR contexts. The role involves research, algorithm development, real-time optimization for low-power devices, and collaboration with ML/perception and other engineering teams to deliver production-ready models and pipelines. Experience with computer vision, imaging, and machine learning is required. | Serve | 7 |
| Senior Staff Uber Technical Lead, Observability Intelligence Senior Staff Uber Technical Lead for Observability Intelligence, driving the AI-driven paradigm shift in SRE incident response by evolving Google's monitoring systems into a cohesive observability ecosystem. This role involves leading large-scale ML infrastructure optimization, defining strategy, and collaborating across teams to ensure technical consistency and interoperability. | AgentServe | 7 |
| Group Product Manager, Generative Media, Google Labs Group Product Manager for Generative Media in Google Labs, focusing on identifying, defining, and launching new AI-powered media products. The role involves strategic roadmap definition, cross-functional collaboration, and iterating on products based on user feedback, with a strong emphasis on generative AI and its application to media creation. | Ship | 7 |
| Software Engineer, Personalization and Recommendations AI Software Engineer role focused on Personalization and Recommendations AI within Google Ads. The role involves writing product/system development code, collaborating with peers, triaging issues, and implementing solutions in ML areas, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience with software development and ML infrastructure, with preferred experience in User modeling, Recommendation Systems, Information Retrieve, or NLP. | Ship | 7 |
| Senior Software Engineer, AI/ML Computer Vision, XR Senior Software Engineer focused on AI/ML Computer Vision for XR products at Google. Responsibilities include writing and testing code, collaborating on design and code reviews, triaging issues, and designing/implementing computer vision systems using ML infrastructure. Requires 5 years of Python experience, 3 years of ML infrastructure experience, and 3 years of computer vision experience. | ShipServe | 7 |
| Software Engineer, Agentic Validation of Global Correctness Software Engineer role focused on AI-driven validation of coding agents to ensure global correctness and system-wide stability. Responsibilities include creating and executing integration tests, verifying generated code, and identifying validation gaps to reduce outage risks. | Agent | 7 |
| AI Solution Architect, YouTube Marketing This role focuses on architecting and deploying AI-driven solutions within YouTube Marketing to automate workflows and enhance marketing execution. The Solutions Architect will build and iterate on AI prototypes using AI-assisted development and low-code solutions, bridging technical and marketing teams to transition prototypes into scalable production systems. The goal is to accelerate the adoption of AI-first marketing at scale. | Agent | 7 |
| Senior Software Engineer, AlloyDB Semantic Search Senior Software Engineer to build semantic search capabilities within AlloyDB, a PostgreSQL-based database product. This role involves designing, developing, and implementing AI/GenAI features, query processing, indexing, and vector embedding to empower enterprise customers with advanced semantic search. | AgentServe | 7 |
| Staff Software Engineer, Discover Ranking Staff Software Engineer at Google focused on designing and building large-scale systems for content personalization and recommendation within the Discover feed. The role involves working with massive datasets and advanced ML models to improve ranking and recommendations, with a focus on shipping AI-powered product features. | ShipAgent | 7 |
| Senior Staff Tech Lead, YouTube Shopping Ads Senior Staff Tech Lead for YouTube Shopping Ads, focusing on defining and developing next-generation AI-powered shopping features. Responsibilities include conceptualizing, designing, and implementing novel AI experiences, integrating with e-commerce frameworks, and crafting conversational commerce through business agent chat. The role involves collaboration with cross-functional teams and technical leadership in a rapidly growing area at the intersection of ads, YouTube, and shopping. | Agent | 7 |
| Senior Staff Software Engineer, Security/Privacy Senior Staff Software Engineer for Google Cloud's Identity and Access Management (IAM) policy, platform, and AI teams. This role will oversee the strategic direction for Organization Policies, Regional Security Isolation, and Policy AI, focusing on improving reliability, velocity, and adaptability. The engineer will resolve complex technical problems with innovative, centralized evaluation solutions and build secure, reliable, and scalable infrastructure for Google Cloud, collaborating with IAM leaders to ensure consistent access control enforcement. The role involves advising on the next-generation evolution of IAM capabilities by integrating novel AI approaches into production systems and providing technical oversight and leadership. | Agent | 7 |
| Staff Software Engineer, AI/ML, Google Distributed Cloud, Storage Staff Software Engineer for Google Distributed Cloud, Storage, focusing on building the foundational data layer for AI/ML workloads at the edge and in air-gapped environments. The role involves designing and developing scalable, distributed storage solutions optimized for massive throughput and ultra-low latency to support AI training and inference, and integrating with external storage hardware. | Serve | 7 |
| Lead Prototyping Engineer/Machinist, DeepMind This role is for a Lead Prototyping Engineer/Machinist on Google DeepMind's Robotics team, focused on building physical systems for Embodied AI. The role involves leading the end-to-end manufacturing of core hardware, bridging the gap between AI research and physical reality, and working closely with researchers to deliver hardware prototypes. | Ship | 7 |
| Engineering Analyst, Cloud AI Abuse This role focuses on safeguarding Google Cloud AI products from abuse, including prompt injection, jailbreaking, data poisoning, and policy-violating content generation. It involves analyzing risks of generative and agentic AI, measuring these risks through benchmarking and red teaming, and developing rules and heuristics to block abusive actors. The role requires collaboration with engineering, product, and legal teams, and educating them on Gen AI safety risks. | AgentEval Gate | 7 |
