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 |
|---|---|---|
| Design Verification Lead, Google Cloud This role focuses on the design verification of custom silicon solutions, specifically Tensor Processing Units (TPUs), that power AI/ML workloads for Google's direct-to-consumer products and Google Cloud. The lead will own the full verification life-cycle, build verification environments, and ensure the reliability of AI/ML workloads on TPU hardware, collaborating with design and verification engineers. | — | 5 |
| Staff Software Engineer, GCS Object Context and Search Staff Software Engineer for Google Cloud Storage Object Context and Search team, focusing on designing and developing semantic storage and search solutions. The role involves leading the technical roadmap, ensuring reliability, scalability, and performance of systems, and building high-performance storage and low-latency retrieval systems at scale. | AgentServe |
| 5 |
| Business Intelligence Developer, Cloud Finance This role focuses on building business intelligence tools and data products for Cloud Finance, with a significant emphasis on leveraging ML and AI for anomaly detection, forecasting, and agentic capabilities to drive financial insights and automation. The role involves owning data product lifecycles, developing scalable models, leading process innovation, and communicating insights to executive leadership. | AgentData | 5 |
| Staff Hardware Design Engineer, Platforms Infrastructure Engineering This role focuses on designing and building hardware systems for Google's data centers, with a specific emphasis on AI/ML hardware platforms like GPUs and TPUs. The engineer will be involved from concept to manufacturing, leading system and hardware design, validation, and productization. | — | 5 |
| Senior Silicon Architect This role is for a Senior Silicon Architect at Google DeepMind, focusing on defining chip IP architectures, memory hierarchy, and interconnect fabrics. While the role involves AI/ML accelerator architecture design as a qualification, the primary responsibilities are centered around silicon architecture and system-level optimization, not the direct development or deployment of AI models or agents. | — | 5 |
| Cloud Data and AI Engineer, Professional Services This role focuses on guiding Public Sector customers in developing, configuring, and deploying data and AI solutions on Google Cloud Platform. It involves providing architecture guidance, best practices, data migration, and troubleshooting for ML models and integrations. The engineer will also consult on optimal data and AI solution design and travel to customer sites for deployment and workshops. | ServeData | 5 |
| Software Engineer, Translation Mobile, XR Software Engineer role focused on building and launching first-party applications and experiences for AR glasses, specifically translation, media player, and phone call experiences. The role involves mobile development for Android/iOS paired with wearables and leveraging generative AI tools for development acceleration. The goal is to create delightful glasses experiences that amplify speech and sound, integrating AI and XR technologies. | — | 5 |
| Technical Program Manager III, Advanced Analytics, Google Data Center Technical Program Manager III role focused on Advanced Analytics for Google Data Centers. The role involves leading complex, multi-disciplinary projects, planning requirements, managing schedules, identifying risks, and communicating with stakeholders. Responsibilities include designing and implementing data warehouse infrastructure, data pipelines, predictive analytics, and machine learning models using GCP. The role also involves managing program deliverables and extracting business insights from datasets to maintain data center operations and efficiency. | Data | 5 |
| Quality Management System Specialist This role focuses on managing the Quality Management System (QMS) for digital health products at Google, ensuring compliance with global health regulations, particularly concerning AI in healthcare. The specialist will advise product teams, safeguard core platforms, and engage with health authorities to shape standards. While the role operates within the context of AI in healthcare and has preferred qualifications related to LLMs and AI-agent architectures, its core function is regulatory quality management and compliance, not direct AI/ML model development or deployment. | — | 5 |
| Engineering Manager, Spanner Search This role is for an Engineering Manager at Google Cloud, specifically for the Spanner Search team. The team owns the architecture and scale of full-text, vector, and hybrid search capabilities within the Spanner engine. The manager will drive the technical roadmap, engage with customers, manage and mentor a team of software engineers, and collaborate with various partner teams. The role requires experience in software development, building infrastructure, distributed systems, core database internals, people management, and experience with vector search, full-text search, or query processing. Preferred qualifications include experience with large-scale search systems, information retrieval pipelines, vector databases, and database engine internals. | — | 5 |
| Technical Program Manager, Network Capacity Planning This role focuses on network capacity planning for Google Cloud, utilizing machine learning and AI-driven methodologies to improve forecasting, automate anomaly detection, and simulate capacity scenarios. The Technical Program Manager will ensure network capacity is delivered efficiently and on time to support products and customers, balancing resource efficiency with high availability. | — | 5 |
| Senior Staff Software Engineer, Unified Traffic Engineering, Infrastructure Senior Staff Software Engineer role focused on Unified Traffic Engineering for Google's global networks, ensuring optimized routing and load balancing for Google and GCP services. The role involves designing, developing, and maintaining large-scale software solutions, with a minimum qualification of integrating generative AI tools or LLM interfaces into workflows. | — | 5 |
| Staff Software Engineer, Google Cloud Storage, AI/ML Staff Software Engineer on the Google Cloud Storage AI/ML Solutions team, focusing on building storage solutions for AI/ML workloads, from training to inference. The role involves designing, implementing, and optimizing high-complexity features for scalable and performant storage systems that cater to the specific demands of AI/ML. | Serve | 5 |
| Senior Software Engineer, Android, Chrome Identity Senior Software Engineer on Chrome Identity team, focusing on Android mobile platforms. Role involves technical leadership, feature development for billions of users, and collaboration with UX/Product Managers. Requires experience with software development, mobile OS, and LLMs/NLP/Generative AI, with an emphasis on utilizing AI tools for development. | — | 5 |
| Senior Software Engineer, Vertex 1P GenAI SRE This role focuses on ensuring the reliability, scalability, and performance of Google's Vertex AI Generative AI platform, which serves both internal teams and Google Cloud customers. The Senior Software Engineer will be responsible for improving system architecture, resolving outages, and driving production excellence using SRE principles. | Serve | 5 |
| Staff Software Engineer, Enterprise Product Strategy and Architecture Staff Software Engineer focused on defining and scaling enterprise-wide architectural standards, reference models, and patterns for data platforms and AI/ML capabilities within Google's Corporate Engineering. The role involves technical design consultations, architecture reviews, supporting the Enterprise Architecture Board, leading technical forums, and establishing reusable patterns for data ingestion, pipeline orchestration, model deployment, and generative AI integrations. The goal is to ensure alignment with long-term data scalability and enterprise AI safety, reduce redundancy, and accelerate delivery. | ServeData | 5 |
| Staff Software Engineer, App Ads Privacy Staff Software Engineer on the App Ads Privacy Team at Google, focusing on building next-generation identity resolution and attribution systems. The role involves designing privacy-focused infrastructure to maintain accurate measurement and app performance amidst industry shifts and global regulations, ensuring a balance between user trust and data utility for advertisers. | — | 5 |
| Software Engineer Manager, Foundational HTTP Serving Platform Manage a team of software engineers focused on Google's foundational HTTP serving platform, a critical piece of infrastructure. The role involves technical leadership, roadmap definition, and driving AI-assisted engineering practices within the team to improve development, testing, and operational support. | — | 5 |
| Senior Software Engineer, Discover Ads User Value Senior Software Engineer role focused on the user value of Discover Ads, involving engineering, data analysis, and product thinking to optimize ad auctions, inventory, and pricing. The role aims to improve advertiser, user, and Google values by leveraging product intuition, data insights, and research discoveries. It requires experience in software development, testing, and architecture, with a preference for experience in building and deploying recommendation systems. | ShipAgent | 5 |
| Hardware System Architect, Pixel Watch This role focuses on architecting hardware systems for wearable products, specifically the Pixel Watch, to enable ambient and edge computing applications. The architect will define system design, ensure subsystems meet performance, power, and cost goals, and analyze data processing paths. Collaboration with internal teams, silicon vendors, and technology partners is key. The role involves defining system and component specifications, evaluating trade-offs, selecting chipsets, overseeing integration, and investigating emerging technologies. Experience with machine learning models and AI accelerators is preferred. | — | 5 |
| Research Data Scientist, YouTube Gaming Discovery Data Scientist role on YouTube Gaming Discovery team, focusing on helping gamers find content. Involves collaborating with stakeholders, designing and evaluating models, gathering data, and using tools like SQL and Python. Requires a Master's degree in a quantitative field and 3 years of experience in analytics, coding, and database querying. Preferred qualifications include experience with machine learning and recommender systems. | Ship | 5 |
| Senior Silicon Validation Engineer, Volume Production and Yield This role focuses on silicon validation for high-volume production and yield optimization. While it leverages AI/ML tools for data analytics and yield improvement, the core function is hardware engineering and manufacturing, not the direct development or research of AI models themselves. The role involves transitioning silicon designs into manufacturing, monitoring yield, performing failure analysis, and collaborating with cross-functional teams to ensure product quality and efficiency. | — | 5 |
| Eye Tracking Systems Staff Software Engineer Staff Software Engineer for Google's XR Perception team, focusing on eye tracking systems for AR/VR. The role involves technical leadership, algorithm design, and software development for compute-constrained Android devices, with an emphasis on integrating generative AI and LLM interfaces into workflows. | Serve | 5 |
| Staff Embedded Software Engineer, Audio/Firmware Staff Embedded Software Engineer for Google's Android microXR project, focusing on audio firmware for AR smart glasses. The role involves developing and optimizing audio systems, integrating with ML teams, and supporting AI-driven use cases within an embedded, real-time context. | Serve | 5 |
| Software Engineer, Parallel File Systems, AI/ML Storage Software Engineer role focused on building and optimizing distributed file systems for AI/ML workloads, specifically generative AI and real-time inference, aiming for extremely high throughput (10TB/s). The role involves developing APIs, designing distributed systems, implementing data protection, performance improvements, and cost optimizations for large-scale storage infrastructure. | — | 5 |
| ASIC Physical Design Tools, Flows, Methodologies Manager Manage and lead a team of TFM engineers responsible for the physical design flows that power Google's Tensor Processing Unit (TPU) products. This role involves guiding the team in developing, deploying, and supporting an RTL-to-GDS infrastructure, bridging design engineering and EDA capabilities, and managing priorities to ensure silicon delivery for AI/ML hardware acceleration. | — | 5 |
| Senior Software Engineer, Information Security Engineering Senior Software Engineer role focused on information security, involving the development of tools for product security consulting, response, and research, with a specific emphasis on AI agents. The role requires designing and implementing Go and Python AI agents, building new features on internal systems, and contributing to technical roadmaps. Experience with AI is preferred. | Agent | 5 |
| Senior Software Engineer, TV Systems Performance Senior Software Engineer focused on performance tuning for TV systems and device ecosystems, optimizing Reference Designs, and partnering with vendors and cross-functional teams. The role involves evolving Gemini-assisted tools for performance analysis and leading evaluations for industry shifts. Requires experience in software development, Android application development, and large-scale systems data analysis. | — | 5 |
| Engineering Manager, Operations Intelligence, gUP Engineering Google is seeking an Engineering Manager for their new Operations Intelligence team. This role will build and lead a team focused on automating the content lifecycle using data and automation, including ML/NLP. The manager will define technical strategy, oversee development, and partner with various stakeholders to deliver impactful solutions. The role requires strong software development, technical leadership, and people management experience, with a preference for experience in large-scale data processing and Generative AI. | Ship | 5 |
| Staff Software Engineer, Flume ML This role is for a Staff Software Engineer on the Flume ML team at Google Cloud, focusing on managing and evolving planet-scale data processing infrastructure that powers foundational ML features and next-generation AI initiatives. The primary objective is to advance scheduleability and auto-tuning capabilities for massive-scale ML pipelines and data workloads, bridging complex infrastructure with cutting-edge products. The role involves technical leadership, influencing and coaching engineers, managing projects, and designing/developing large-scale software solutions. | Data | 5 |
| Software Engineer Manager, Google Global Infrastructure, NetSoft This role is for a Software Engineering Manager within Google's Global Infrastructure, NetSoft team. The primary focus is on managing engineers and providing technical leadership for projects related to network planning, modeling, simulations, and risk assessment. A key aspect of the role involves enabling AI/ML capabilities to accelerate cloud expansions and improve network operations at a global scale. The role requires experience in large-scale infrastructure, distributed systems, and technical leadership, with a focus on managing teams and driving product strategy. | — | 5 |
| Software Engineer III, Embedded Systems, Hearables Audio software Software Engineer III on the Pixel Hearables Audio Software team, responsible for developing next-generation Google Pixel earbuds. This role involves productizing novel audio algorithms that combine signal processing, acoustics, and machine learning, working with early hardware prototypes to design and implement new features. The position requires contributions to audio system architecture, implementation and integration of audio software for hearable devices and phones, and developing infrastructure to support algorithmic development and scale engagement with research teams. Collaboration with product managers, UX, and hardware counterparts is essential. | Serve | 5 |
| Software Engineering Manager, Merchant Shopping, Agency Growth Software Engineering Manager for Google's Merchant Shopping, Agency Growth team, focusing on building AI-forward experiences for agencies and leading the development of scalable backend and frontend infrastructure for insights and recommendations. The role involves strategic product direction, team leadership, and cross-functional collaboration to drive success for agencies and merchants. | Ship | 5 |
| AI Adoption Customer Engineer, Google Cloud (English, Korean) 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, identifying new AI use cases, and accelerating customer time-to-value through technical problem-solving and consultative delivery. | Agent | 5 |
| Staff Software Engineer, Modelling Infrastructure Staff Software Engineer to drive design, development, and operational excellence of network and machine modeling infrastructure. This role requires back-end distributed systems expertise and will work closely with partner teams to understand needs and align road-maps for the modeling infrastructure supporting the networking and AI/ML landscape. The AI and Infrastructure team empowers customers with breakthrough capabilities by delivering AI and Infrastructure at scale. | — | 5 |
| Senior Staff Software Engineer, Future of Git Senior Staff Software Engineer role focused on re-architecting Google's Software Development Life Cycle (SDLC) through the Future of Git (FoG) initiative. The role involves transitioning from legacy proprietary systems to industry-standard platforms, creating an AI-first SDLC architecture with agentic orchestration, spec-driven development, and context-aware intelligence. Responsibilities include technical leadership for bridging internal scale with external ecosystems, navigating cloud security governance, and ensuring a compliant-by-default developer experience. The role also involves architectural evolution of Git-based workflows, integrating internal development with external platforms, and migrating legacy tools. | Agent | 5 |
| Software Engineer Manager, Full Stack, Global Partnerships Studio Google is seeking a Software Engineer Manager for the Global Partnerships Studio in Hyderabad. This role involves leading a team of engineers to build and maintain tools that automate pipeline and partner management workflows, with a growing focus on AI. The manager will set team priorities, develop technical roadmaps, guide system designs, and contribute to product strategy, while also managing engineers across multiple teams and locations. | — | 5 |
| Senior Software Engineer, Infrastructure, High Performance Networking Senior Software Engineer on the High Performance Networking (HPN) team, focusing on end-to-end RDMA stack ownership. The role involves enhancing network performance for HPC and ML workloads, optimizing RDMA capabilities with next-generation Smart NICs, and performing full-stack optimizations across Google Cloud infrastructure. Responsibilities include writing and testing code, participating in design reviews, code reviews, documentation, and debugging system issues. | — | 5 |
| Trust and Safety Analyst, User Feedback This role involves analyzing user feedback to improve policy enforcement on Google Ads, leveraging data analytics and potentially LLMs to identify opportunities and build solutions. The analyst will own technical implementation of pipelines, drive project delivery, and enhance operational workflows through process improvements and automation. | Data | 5 |
| Senior Software Engineer, Android, YouTube Create Senior Software Engineer on the YouTube Create Client team, responsible for leading the design and implementation of complex features and infrastructure projects for an Android app that offers advanced editing tools, effects, and AI-powered media generation for content creators. | Ship | 5 |
| Enterprise Architect, Professional Services, Google Cloud This role focuses on designing and implementing cloud-native solutions for enterprise clients, with a specific emphasis on integrating advanced AI and agentic workflows. The Enterprise Architect will act as a trusted advisor to executive stakeholders, translating business needs into technical roadmaps and overseeing the technical execution of cloud transformations. While not directly building AI models, the role is critical in architecting systems that leverage and orchestrate AI capabilities for business solutions. | Agent | 5 |
| Senior Software Engineer, Infrastructure This role is for a Senior Software Engineer on the Google Compute Engine (GCE) team, focusing on building and optimizing the foundational infrastructure for AI/ML workloads. The engineer will lead the introduction of new VM families, analyze and optimize VM performance, develop software components for reliability and performance, and provide engineering support for existing VM families. The role requires experience with IaaS, large-scale infrastructure, distributed systems, and virtualization, with a focus on supporting the growing demand for AI/ML computing. | — | 5 |
| Customer Engineer, AI Platform, Google Cloud (Japanese) Customer Engineer for Google Cloud's AI Platform, focusing on accelerating AI adoption by providing technical expertise, developing sales assets, and resolving customer blockers in the Japanese market. | — | 5 |
| Senior Software Engineer, Android CI Infrastructure Senior Software Engineer to build next-generation, AI-powered infrastructure supporting Continuous Integration (CI) systems for Android, Chrome, and ChromeOS. The role involves designing, implementing, and deploying scalable and reliable systems, with a focus on streamlining operational workflows using Agentic AI and enhancing system reliability. The engineer will also contribute to AI accelerated development and ensure the scalability and availability of infrastructure. | Serve | 5 |
| Software Engineer II, Enterprise Data Protection Software Engineer II, Enterprise Data Protection at Google, Singapore. This role focuses on building software systems to prevent data exfiltration of intellectual property, including threats from human or autonomous AI agentic actions. The engineer will design, test, deploy, and maintain these security controls across various Google systems. The role requires experience in full-stack development and has a preference for experience in security, machine learning, distributed systems, or AI, specifically agentic software engineering. | — | 5 |
| Design Verification Engineer, Google Cloud Silicon This role focuses on the design verification of custom silicon solutions for AI/ML hardware acceleration, specifically Google's Tensor Processing Units (TPUs). The engineer will own the full verification life-cycle, ensuring the reliability and performance of AI/ML workloads on TPU hardware by building constrained-random verification environments and collaborating with design engineers. The role is within the AI and Infrastructure team, which supports Google's AI models and hyperscale computing. | — | 5 |
| Software Engineer III, Infrastructure, Google Workspace This role is for a Software Engineer III on the Google Workspace Infrastructure team, focusing on building AI-powered productivity tools for the future of work. The engineer will write product or system development code, participate in design reviews, review code, contribute to documentation, and triage/debug system issues. The role involves working with AI model builders and impacting billions of users by enhancing products like Gmail, Docs, and Meet with AI capabilities such as pre-computed summaries and AI avatar-generated videos. | Ship | 5 |
| Software Engineer, Fleet Analytics, PhD, Early Career, 2026 This role is for a PhD Software Engineer focused on Fleet Analytics within Google Cloud's AI and Infrastructure organization. The role involves designing, developing, and maintaining software solutions, with a focus on advanced optimization models. While the organization works with AI/ML systems, this specific role's primary output is optimization models and platform capabilities, not direct AI/ML model development or deployment. | — | 5 |
| Security Engineer, Enterprise Security AI This role focuses on enterprise security for AI products, specifically assessing and securing AI agents and features. The engineer will develop threat models, implement guardrails, and advise on mitigating risks associated with AI use within Google's products and third-party AI products. | Agent | 5 |
| Software Engineer, PhD, Performance, Reliability, Observability, Early Careers Software Engineer role focused on developing debugging, profiling, and analytics tools for Google Cloud. The role involves working with large-scale systems and exploring the use of machine learning for anomaly detection in cloud control plane systems. | — | 5 |