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, down 12% versus the prior 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 |
|---|---|---|
| Staff Software Engineer, Git Development Suite Google is seeking a Staff Software Engineer for the Git Development Suite team, focused on enhancing the Git ecosystem for Google's developers. The role involves providing technical leadership, architecting scalable features for Git-based supply chain infrastructure, and influencing engineering teams. A key aspect is integrating generative AI tools or LLM interfaces into developer workflows, aiming to improve the overall developer experience within Google's large-scale environment. | — | 5 |
| Group Product Manager, Google Play This role is for a Group Product Manager on the Google Play Games team, focusing on building new experiences for gamers. The role involves leading cross-functional teams from concept to launch, defining product strategy, and leveraging AI infrastructure to drive growth and innovation within the gaming platform. The position emphasizes rapid prototyping, testing, and launching new features, with a focus on scaling global consumer products. | — |
| 5 |
| Staff Software Engineer, Server Foundations Staff Software Engineer for Google's Core team, focusing on building the technical foundation for flagship products. The role involves providing technical leadership, designing and implementing internal development platforms, and managing the lifecycle of complex multi-tier applications. Experience integrating generative AI tools and LLM interfaces into workflows is required, with preferred experience in Platform as a Service or AI Platform. | — | 5 |
| Technical Program Manager, AI Technical Program Manager at Google, focusing on the Core team that builds the technical foundation for Google's flagship products. This role involves leading complex, cross-functional engineering efforts, particularly those involving AI/ML software development projects, using Agile methodologies. The TPM will be responsible for planning, execution, stakeholder management, and driving programs from start to finish, ensuring alignment with key success metrics and impacting technical decisions across the company. | — | 5 |
| Web Solutions Engineer, Technology and Insights Partnership Systems YouTube This role involves designing, building, and deploying scalable web applications and back-end services for YouTube's content partner ecosystem. A key responsibility is integrating AI/ML technologies into business platforms to enhance operational capacity and provide conversational analytics. The role requires modernizing legacy systems, managing data pipelines, and collaborating with stakeholders to translate business needs into engineering solutions. Experience with full-stack development, system design, and AI/ML technologies like LLMs, vector embeddings, RAG, and agentic AI is preferred. | Agent | 5 |
| Engineering Analyst, Trust and Safety, YouTube This role focuses on using and improving LLMs for content moderation and abuse prevention on YouTube. Responsibilities include designing and refining prompts for LLMs, analyzing data to understand abuse impact, and driving anti-abuse experiments. The role requires experience in data analysis, project management, and programming languages like Python or SQL, with a preference for machine learning systems experience. | Agent | 5 |
| RTL Engineer III, Silicon Cloud This role involves designing and developing custom silicon solutions (ASICs) to accelerate machine learning computation in data centers. The engineer will collaborate with various teams to specify and deliver quality designs for next-generation data center accelerators, focusing on micro-architecture, performance, power, and complexity. | — | 5 |
| Senior Silicon Design Verification Engineer, Cloud Silicon This role focuses on the verification of custom silicon solutions, specifically Tensor Processing Units (TPUs), which are designed to handle Artificial Intelligence/Machine Learning (AI/ML) workloads. The engineer will be responsible for the full verification life-cycle, including planning, test execution, and coverage closure, ensuring the reliability and performance of these AI/ML-focused hardware components. While the role involves AI/ML workloads and accelerators, the core craft is silicon design verification, not the direct development or research of AI models themselves. | — | 5 |
| Software Engineering Manager II, Google Cloud Software Engineering Manager II for Google Cloud's AI and Infrastructure team, focusing on leading engineers, setting team priorities, developing technical roadmaps, and guiding system designs for large-scale AI and infrastructure projects. The role involves people management and technical leadership within a team that supports Google's AI models and computing power. | Serve | 5 |
| Senior Design Verification Engineer, Google Cloud This role focuses on the verification of AI/ML hardware accelerators (TPUs), ensuring their performance and accuracy for AI/ML workloads. The engineer will develop verification environments and collaborate with design teams to ensure the reliability of complex digital designs. | — | 5 |
| Software Engineering Manager, Google Cloud Storage Google Cloud Storage is seeking a Software Engineering Manager to lead a team responsible for delivering client experience for GCS and enabling AI/ML workloads for customers. This role involves managing engineers, setting team priorities, developing technical roadmaps, and designing/vetting systems for a planet-scale distributed storage system that handles exabytes of user data. The team is re-architecting the software stack to support demanding AI/ML customer workloads. | — | 5 |
| Senior Silicon Design Verification Engineer, Google Cloud This role focuses on the verification of custom silicon solutions, specifically Tensor Processing Units (TPUs), which are designed to accelerate Artificial Intelligence/Machine Learning (AI/ML) workloads. The engineer will be responsible for the full verification life-cycle, including planning, test execution, and coverage closure, ensuring the reliability and performance of these AI/ML-focused hardware components. | — | 5 |
| Staff Software Engineer, Search Feature Staff Software Engineer role at Google, focusing on building a transformative developer experience for Search developers. The role involves designing, developing, testing, and deploying software solutions, with a strong emphasis on platform systems that scale for Search product needs. While AI is mentioned as a domain of interest and knowledge is expected, the core responsibility is software engineering for developer tools within the Search product, not direct AI/ML model development. | — | 5 |
| AI and Knowledge Strategist This role focuses on developing content strategies for Google Ads, specifically leveraging AI-powered tools to map user intent to content solutions. The strategist will translate business requirements into AI prompts, monitor model behavior for accuracy and grounding, and create high-quality content solutions. A key aspect involves understanding and applying Generative AI guardrails to mitigate risks like hallucinations and ensure reliable AI-driven experiences. | — | 5 |
| Senior User Experience Researcher, Google Pay This role is for a Senior User Experience Researcher on the Google Pay team, focusing on shaping the product experience for SMB businesses. The role involves developing research roadmaps, leading research activities in a fast-paced environment, and applying mixed-methods research to influence product strategy. While the role is in the fintech domain and explores GenAI applications, the core function is UX research, not direct AI/ML model development. | — | 5 |
| RTL Design Engineer, Google Cloud, Silicon The role involves designing and implementing ASICs to accelerate machine learning computation in data centers, specifically for Google's AI platform (Vertex AI) and TPUs. The engineer will focus on microarchitecture, implementation, and collaboration with various hardware and software teams to deliver high-performance, efficient, and reliable silicon solutions. | Serve | 5 |
| Design Verification Engineer, TPU, Silicon, Google Cloud Design Verification Engineer for Google's TPU (Tensor Processing Unit) hardware, focusing on verifying complex digital designs for AI/ML applications. The role involves the full verification life-cycle, building constrained-random verification environments, and ensuring the reliability of AI/ML workloads on TPU hardware. | — | 5 |
| Group Product Manager, Customer Experience Ads Product Manager for Google Ads customer experience, focusing on defining and executing AI product roadmaps, collaborating with engineering on AI/ML applications, and advocating for users within the Google Ads ecosystem. | — | 5 |
| 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 |
| Silicon Design Verification Engineer, Google Cloud This role focuses on the verification of custom silicon solutions for AI/ML hardware acceleration, specifically Tensor Processing Units (TPUs). The engineer will own the full verification life-cycle, build verification environments, and ensure the reliability of AI/ML workloads on TPU hardware, collaborating with design engineers to meet stringent performance and accuracy goals. | — | 5 |
| Product Marketing Manager, Brand and Reputation Product Marketing Manager for Brand and Reputation in India, focusing on shaping Google's brand perception, particularly concerning AI. The role involves leading marketing strategy, developing partner-led storytelling, managing brand campaigns, utilizing data-driven insights, and collaborating with cross-functional teams. A key aspect is translating technical AI leadership into human-centric stories. | — | 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 |
| UX Designer, Google TV UX Designer for Google TV, focusing on user experience for living room entertainment. This role involves crafting intuitive interfaces, collaborating with cross-functional teams, and leveraging AI-powered tools for prototyping and anticipating user intent. The designer will advocate for users, manage the design lifecycle, and contribute to the evolution of the Google TV design system, ensuring accessibility and innovation. | — | 5 |
| Product Data Scientist, FOP Optimization Product Data Scientist for FOP Optimization at Google, shaping Payments products and solutions by leveraging machine learning and AI for transaction processing and optimizing user journeys across platforms like Play and YouTube. Focuses on data-driven decision making, success metrics, insights, and global launches within the payments routing infrastructure. | Ship | 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 |
| 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 |
| Silicon Senior uArch/RTL Engineer, Google Cloud This role focuses on the microarchitecture and RTL design of TPUs (Tensor Processing Units) for AI/ML hardware acceleration in Google's data centers. The engineer will be responsible for designing, implementing, and verifying complex digital designs, with a focus on performance, power, and area optimization, contributing to the next generation of AI accelerators. | — | 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 |
| 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, 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 |
| Software Engineer III, Full Stack, Google Cloud Software Engineer III, Full Stack role within Google Cloud's AI and Infrastructure team, focusing on building and enhancing large-scale AI and infrastructure solutions that empower Google customers and users worldwide. The role involves full-stack development, managing project priorities, and contributing to the innovation of hyperscale computing technologies. | — | 5 |
| Staff Software Engineer, Google Cloud Staff Software Engineer role at Google Cloud, focusing on AI and Infrastructure. The role involves providing technical leadership, managing projects, and designing/developing large-scale software solutions that support Google's AI models and infrastructure. While the team works with AI, the core responsibilities are in software engineering and infrastructure, not direct AI/ML model development. | — | 5 |
| Quality Control Manager, Customer Support, gTech Ads This role is for a Quality Control Manager within Google Ads gTech, focusing on customer support and media/technical services. The manager will set quality processes, drive stakeholder management, share quality assurance insights, and standardize processes across regions. While the role mentions "agentic space" and "Machine Learning as relevant to quality and customer experience (CX) overall", and "AI Ml tools/agentic solutions exposure" as preferred qualifications, the core responsibilities are focused on quality control, process improvement, and customer support within the advertising domain, not on building or directly deploying AI/ML models or systems. The primary focus is on managing quality for existing ad products and customer interactions. | — | 1 |
| Product Lead, YouTube Ecosystem Product Lead for YouTube Ecosystem, responsible for the technical relationship with advertising clients and product partners, leveraging emerging technologies and overseeing technical execution of Google's online advertising platforms. The role involves defining product backlogs, collaborating with stakeholders, leading sprint planning, and ensuring successful release execution. | — | 1 |
| Software Engineer, Persistent Disk, PhD, Early Career, 2026 Google is seeking a PhD Software Engineer for their AI and Infrastructure (AI2) organization in Bengaluru. This role focuses on developing next-generation storage architectures, backup, and replication solutions. The engineer will drive research initiatives, improve system reliability and performance, and collaborate with stakeholders. The position requires a PhD in a related technical field and experience in data storage, distributed systems, and research publication. While the role is within an AI/ML-focused organization, the core responsibilities are in data storage and distributed systems engineering, not direct AI model development. | — | 1 |
| Senior Software Engineering Manager, GCE Node This role is for a Senior Software Engineering Manager at Google Compute Engine (GCE) in India, focusing on leading a team to develop high-performance computing, accelerators, and infrastructure that supports AI/ML/HPC workloads. The role involves managing engineers, contributing to product strategy, and overseeing the development of virtualized storage, networking, telemetry, and workload management. Experience in distributed systems, large-scale data processing, low-level system architecture, CPUs, memory, storage, and virtualization stacks is required. | — | 0 |
| Senior Silicon Digital Design Engineer, Core IP Develop custom silicon solutions for Google's direct-to-consumer products, focusing on microarchitecture definition, RTL implementation, and ASIC design methodologies. This role is within the Platforms and Devices team, which works on computing software platforms and first-party devices, aiming to make user interactions faster and more seamless. | — | 0 |
| Senior Design Verification Engineer, Silicon Senior Design Verification Engineer for custom silicon solutions at Google, focusing on the verification of SOC infrastructure IP, interconnects, and system services using SystemVerilog and UVM. The role involves planning verification, creating verification environments, developing methodologies, and debugging designs to ensure functional correctness and close coverage for tape-out. Experience with AI/ML accelerators or vector processing units is preferred. | — | 0 |
| Pre-Silicon Validation Engineer, Cloud Silicon This role focuses on pre-silicon validation engineering for custom silicon solutions that power Google's products, particularly within the AI and Infrastructure team. Responsibilities include integrating and validating hardware and software designs, architecting ASIC models for emulation/FPGA prototypes, and enabling chip bring-up. While the role is within an AI-focused team and mentions ML accelerators, the core function is hardware validation and design, not direct AI/ML model development or deployment. | — | 0 |
| Senior Engineering Manager, YouTube Shopping Senior Engineering Manager for YouTube Shopping, responsible for leading teams, defining technical strategy, and managing large-scale projects. Focuses on building robust, scalable solutions and developing engineers. | — | 0 |
| Engineering Manager, Google Home Platform Enterprise Google is seeking an Engineering Manager for the Google Home Platform Enterprise team in Bengaluru. This role involves technical leadership, people management, and overseeing the development of robust, low-latency APIs for enterprise partners. The manager will set technical strategy, mentor engineers, and drive operational excellence for critical enterprise services, focusing on large-scale distributed systems and cloud-native infrastructure. | — | 0 |
| Software Engineer, Embedded Systems or Firmware Software Engineer role focused on developing embedded firmware, bare metal tests, and low-level debug tools for SoC validation. The role involves hardware-software co-design and working closely with silicon design and post-silicon teams throughout the development lifecycle. | — | 0 |
| Staff Software Engineer, Code Intelligence Staff Software Engineer role focused on building and maintaining large-scale software solutions within Google's Core team, involving technical leadership, cross-functional alignment, and full-stack development. | — | 0 |
| Cloud Data Engineer This role focuses on guiding customers in using Google Cloud Platform for data ingestion, storage, processing, analysis, and visualization. It involves designing and implementing data pipelines, managing data migrations, and ensuring data quality and governance. The role also requires collaboration with product teams and customer-facing activities like deployments and workshops. | — | 0 |
| Salesforce Application Engineer, YouTube Application Engineer Salesforce at YouTube, part of the salesforce-focused engineering team building business systems for the YouTube GTMS T&I Partnership Systems team. Focuses on enhancing creator satisfaction and success by enabling partnership teams with strategic insights. | — | 0 |
| Customer Engineer, Google Cloud Security Customer Engineer for Google Cloud Security, responsible for acting as the technical bridge between Google Cloud's security technologies and customer business challenges. This role involves partnering with sales, designing security architectures, leading technical validations, and translating complex cybersecurity concepts into business outcomes. Requires experience in technical pre-sales, solutions architecture, and modern SOC stacks, with preferred experience in securing AI agents and LLM applications. | — | 0 |
| Field Sales Representative, FSI, Google Cloud Field Sales Representative for Google Cloud's Financial Services sector, focusing on driving customer growth and managing relationships with C-level executives. The role involves understanding customer challenges, advocating for Google Cloud solutions, and specifically focusing on Generative AI offerings to accelerate digital transformation. | — | 0 |
| Technical Account Manager Technical Account Manager for Google Cloud, focusing on driving customer adoption of various Google Cloud services, including Machine Learning, by managing technical aspects of their cloud transformation journey and building strategic relationships with stakeholders. | — | 0 |
| Silicon Infrastructure Engineer, TPU, Google Cloud This role focuses on developing and maintaining silicon infrastructure, specifically TPUs, for Google's direct-to-consumer products and Google Cloud. It involves working with emulation infrastructure, EDA tools, and automation to support hardware development and bring-up of external interfaces. While the team is part of the AI and Infrastructure group and works on technologies like TPUs and Vertex AI, the core responsibilities are in hardware engineering and infrastructure, not direct AI/ML model development or deployment. | — | 0 |