Currently tracking 514 active AI roles, with 1186 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google has 584 active AI-related job listings. The majority of these roles are focused on agents, representing 40% of the total, and serving infrastructure, at 26%. The most frequent technical tags include model_serving, agent_orchestration, and evals. Over the last 30 days, Google has added 413 new AI roles, a 105% increase compared to the preceding 30-day period.
Google currently has 607 active AI-related roles in our index. The most common open titles are: Software Engineer (4), AI Adoption Customer Engineer, Google Cloud (3), Senior Software Engineer (3), AI Outcome Customer Engineer, Cloud AI Tech GTM (2), Conversational AI Consultant (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (26%), application (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Google is hiring AI talent in: United States (388 roles), India (50 roles), Singapore (43 roles), Poland (23 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 605 new AI-related roles. That is a +29% change versus the prior 30 days (469 → 605).
| Title | Stage | AI score |
|---|---|---|
| Software Engineer III, Business Mobile App, Google Pay Software Engineer III for Google Pay's Business Mobile App, focusing on empowering SMBs with digital presence and growth tools. The role involves designing, developing, and maintaining mobile software using Flutter, collaborating with cross-functional teams, and leveraging AI tools to enhance development workflows. The team uses AI in daily work for development and to ensure complex technology is simple for merchants. | — | 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 |
| Customer Engineer, SLED, New England Google Public Sector Customer Engineer for Google Public Sector, focusing on helping state and local government and educational institutions with their digital transformation using Google Cloud. Responsibilities include partnering with technical sales teams, understanding customer requirements, developing cloud solutions, and troubleshooting technical issues related to database migrations and the data lifecycle. The role involves building go-to-market solutions with partners, owning the technical relationship, and providing best practice advice on integration strategies and enterprise architectures. Minimum qualifications include a Bachelor's degree, 10 years of cloud native architecture experience in a customer-facing role, and experience presenting to technical stakeholders. Preferred qualifications include experience with public sector clients, application migration to cloud platforms, security concepts, networking concepts, and creating demos using generative AI tools. |
| — |
| 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 Engineer III, Cloud Bigtable SQL and Analytics Software Engineer to help build the next generation of Google Cloud's Feature Store, transforming it into an Agentic Data Cloud Feature Store. This role involves designing and implementing core "SQL for ML" capabilities like continuous materialized views, real-time counters, and vector search (ANN) to enable modern agentic application development. The position requires building high-performance, scalable, and reliable distributed systems and includes participation in a production on-call rotation. | AgentServe | 5 |
| Senior Product Engineer, Machine Learning Accelerators This role focuses on the engineering and manufacturing of hardware accelerators for machine learning, specifically within Google's supply chain and operations. The individual will lead technology assessment, collaborate on quality and reliability, and support pre-production builds to ensure the successful deployment of next-generation ML systems. While the role is within an AI-focused organization and deals with ML accelerators, the core responsibilities are in hardware engineering, manufacturing, and supply chain management, rather than direct AI/ML model development or research. | — | 5 |
| Senior Software Engineer, Infrastructure, Google Workspace Google is seeking a Senior Software Engineer for its Workspace infrastructure team. This role involves developing and enhancing software solutions for Google's productivity tools, which are being enhanced with AI capabilities. The engineer will work on large-scale infrastructure, distributed systems, and potentially machine learning systems, collaborating with AI model builders to shape the future of work. Responsibilities include coding, design reviews, code reviews, documentation, and issue triaging. | — | 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 |
| Software Engineering Manager II, Audio Experience, Pixel Software Engineering Manager II for Google Pixel's Audio Experience team, focusing on developing next-generation user intelligence and an audio platform. The role involves leading end-to-end design, managing an engineering team, and solving complex technical challenges in audio capture and processing to enhance user experiences while maintaining high privacy standards. Responsibilities include driving strategic outcomes, designing systems, developing roadmaps, managing team performance, and ensuring alignment with partners. | Ship | 5 |
| Technical Program Manager III, GPU Infrastructure Reliability, Google Cloud This role is for a Technical Program Manager III focused on GPU Infrastructure Reliability within Google Cloud. The primary responsibility is to lead the end-to-end development, project planning, and delivery of next-generation Cloud GPU products, including software qualification and release strategies for AI hypercompute clusters. The role involves managing escalations, mitigating risks, and coordinating cross-functional initiatives related to AI infrastructure customer onboarding and production support. It also includes participating in the development of core management software, monitoring, and diagnostic tooling for scalable Cloud ML solutions. While the role supports AI products, it is not directly building or researching AI models but rather managing the infrastructure that enables them. | — | 5 |
| Customer Engineer, Platform, SLED, Mountain West, Public Sector Customer Engineer for Google Cloud Platform, focusing on the Public Sector (SLED). This role involves partnering with technical sales teams to understand customer business challenges, architecting cross-pillar cloud solutions, and driving technical wins. While the role uses generative AI tools and services, its core function is not building AI models but rather enabling customer digital transformation on Google Cloud. | — | 5 |
| Senior Staff Software Engineer, Cloud AI, Full Stack Senior Staff Software Engineer for Google Cloud AI, focusing on the Colab platform. This role involves setting technical direction, ensuring scalability and reliability, and mentoring engineers. While the team works on AI challenges and collaborates with product teams, the primary focus of this specific role is on the platform's engineering excellence and developer tooling, rather than direct AI model development or research. | — | 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 |
| Staff Software Engineer, Machine Learning Compiler, Google Research Staff Software Engineer on the Machine Learning Compiler (MPACT) team, developing open-source compiler infrastructure (LLVM, MLIR) for Google's TPU family of processors. The role involves optimizing HPC codes (C, C++, CUDA) and creating MLIR components for efficient TPU execution, focusing on backend code generation and optimization. | — | 5 |
| Learning Designer, Global Escalation Management Operations This role focuses on designing and implementing internal knowledge base systems and operational training programs for a global escalation management operation. While it involves using AI tools to enhance efficiency and content creation, the core function is not building AI models but rather leveraging them to improve existing operational processes and knowledge dissemination. | — | 5 |
| Staff Software Engineer, Capsium Policies, AI, and Compliance Staff Software Engineer role focused on AI and compliance within Google Cloud Platform. The role involves setting technical direction for policy management, security controls, and foundational platforms, with a focus on integrating emerging use cases and agents into scalable and reliable GCP systems. This is an engineering role that leverages AI/ML for compliance and policy enforcement. | Agent | 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 Strategist, Ads and Shopping, Scams This role focuses on protecting users from offline scams within the Google Ads platform by using data to provide recommendations and devise solutions. It involves identifying automation and efficiency opportunities, optimizing human review costs using Applied AI and machine learning, and collaborating with cross-functional teams to improve user safety and online experience. The role requires analyzing abuse trends, enforcing policies, and identifying product vulnerabilities. | Agent | 5 |
| Senior Security Engineer, Enterprise Security AI This role focuses on enterprise security for AI products, involving security assessments, threat modeling, and developing guardrails for AI agents to protect Alphabet's data. The engineer will adapt existing security knowledge to mitigate risks from AI use and advise on secure AI development paths. | Agent | 5 |
| Associate Principal Analyst, Scams and Verification, Trust and Safety This role focuses on protecting users from offline scams by using data analysis, applied AI, and machine learning to provide recommendations, devise solutions, and optimize human review processes. The analyst will collaborate with engineers to develop algorithms, identify automation opportunities, and build predictive models to enhance detection systems and ensure user safety within Google's products. | Agent | 5 |
| Software Engineer, Voxel, JIT and Hardware Accelerated GoogleSQL Software Engineer on the Voxel team at Google, focusing on optimizing GoogleSQL query execution through JIT compilation and hardware acceleration using MLIR. The role involves designing and implementing efficient kernels for SQL operations across heterogeneous hardware (CPUs, GPUs, TPUs) to support Google's AI/ML infrastructure, including vector search and data preparation. | — | 5 |
| Software Engineer, TPU Software Systems, Cloud Software Engineer role focused on designing, developing, and maintaining the software infrastructure for Google's TPU supercomputers, specifically tailored to support massive-scale machine learning applications and enable efficient execution of data parallelism algorithms. | Serve | 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, Home Infrastructure This role is for a Staff Software Engineer on the Health and Home Infrastructure team at Google. The team focuses on building scalable serving and offline infrastructure, developer platforms, and data services for Google Home and Nest products. The role involves managing a team, developing and maintaining high-QPS distributed systems, and ensuring reliability and low-latency performance. While the team uses AI (like Gemini) to enhance product features, the core responsibility of this role is infrastructure engineering, not direct AI/ML model development. | — | 5 |
| Senior Engineer, GDC, Lifecycle Management, Supply Chain Platform This role involves designing intelligent workflows and autonomous AI agents to manage the lifecycle of Google Distributed Cloud (GDC) infrastructure, from hardware ordering to deployment and turn-up processes. The goal is to evolve traditional infrastructure management into a smart, self-managing platform. | Agent | 5 |
| Staff Software Engineer, Gemini App, Data Engineering, DeepMind Staff Software Engineer on the Gemini Apps Data Engineering team at Google DeepMind. This role focuses on architecting and operating data pipelines for Gemini, a large-scale AI product. Responsibilities include building scalable data pipelines for analytics and ML/AI training, ensuring data quality and reliability, and providing technical leadership to a team of engineers. The role involves working with stakeholders across Data Science, model release, and DeepMind to solve data challenges and support Gemini's growth. | Data | 5 |
| Senior Staff Software Engineer, Regulatory, Compliance and Policy Senior Staff Software Engineer focused on regulatory compliance and policy within Google Search, leveraging LLMs and agentic solutions to translate external requirements into infrastructure enhancements. The role involves driving technical work, strategic vision, and OKR planning, with a strong emphasis on C++ programming and software design/architecture. | — | 5 |
| Software Engineer Manager II, Google Workspace This role is for a Software Engineering Manager II at Google Workspace, focusing on managing software engineers and contributing to product strategy for AI-enhanced productivity tools like Gmail, Docs, and Meet. The manager will guide teams in developing AI features, collaborate with product and UX, and invest in team career development, including adopting DevAI practices. The role involves technical leadership, people management, and overseeing large-scale projects. | — | 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 |
| Senior Software Engineer, BigQuery SQL Translation Senior Software Engineer role focused on enhancing a BigQuery SQL Translation Service that uses Gemini AI LLMs and a semantic compiler engine to convert SQL from various databases to BigQuery SQL. The role involves improving the translation engine, extending semantic analysis for new migration cases, and working with large-scale distributed systems. | Agent | 5 |
| Staff Site Reliability Engineer Staff Site Reliability Engineer for Google Cloud's AI infrastructure, focusing on the reliability and supportability of data intelligence systems (Woodshed and Napa) that underpin Google's AI initiatives. The role involves leading the SRE team, improving system design, automation, and capacity management for large-scale, distributed systems, with a specific emphasis on production ML systems. | Serve | 5 |
| Software Engineer III, YouTube Shorts, Client Side Mobile (iOS) Development Software Engineer III role at Google YouTube Shorts, focusing on client-side mobile (iOS) development. The role involves driving full-stack development for the Shorts consumption experience, including client development, cross-platform UI, and C++ frontend serving. A key aspect is pioneering work streams to build ML models and heuristics for personalizing and optimizing the Shorts player UI. Experience with data-driven UI personalization and Swift development is required. | Agent | 5 |
| Electrostatic Discharge Engineer Electrostatic Discharge (ESD) Engineer responsible for designing, implementing, and maintaining measures to prevent and control electrostatic discharge from electronic components and devices, with a focus on TPU architecture for AI/ML applications. | — | 5 |
| Staff Technical Lead Health Features, Backend, Data Infrastructure Staff Technical Lead for Health Features, Backend, and Data Infrastructure at Google. This role involves leading a team of software engineers, defining technical strategy for data ingestion and health features, and ensuring system reliability, security, and compliance (including HIPAA). The role emphasizes leveraging AI to improve development velocity and code quality, and bringing AI-driven health experiences to users. | Data | 5 |
| Senior Research Data Scientist Data Scientist role focused on advertising product creation, development, and improvement, using scientific and statistical methods, including machine learning and causal inference, to analyze user behavior and ecosystem dynamics. The role involves collaborating with engineers, analysts, and product managers to translate scientific insights into deployed products at scale, with a focus on ad-measurement, effectiveness, and incrementality. | — | 5 |
| Software Engineer III, Application Developer, XR Google is seeking a Software Engineer III to develop next-generation wearable technology for their XR team. This role focuses on building flagship communication apps for glasses, leveraging integrated AI assistance for features like audio/video calls, translation, and navigation within an innovative wearable ecosystem. The engineer will write product or system development code, review code, contribute to documentation, triage and debug issues, and participate in design reviews. | — | 5 |
| Software Engineer, Fuchsia Performance Software Engineer focused on performance optimization for the Fuchsia OS, leveraging AI-driven analysis and developing performance tools. Requires experience in C++, Python, SQL, and operating system internals. | — | 5 |
| Software Engineer III, Android, Chrome OS Software Engineer III on the User Assist team for Chrome OS and Android tablets, focusing on intelligent assistance, automation, and personalized support. The role involves building UI experiences, integrating with Gemini, and working on future AI integrations and productivity features. Responsibilities include engineering solutions, design, implementation, launch management, and code quality across Android framework, first-party apps, and server-side changes. | — | 5 |
| Software Engineer III, Mobile (Android), XR Google is seeking a Software Engineer III for their XR team to design, develop, and launch user-facing AI-driven experiences for Android XR devices. This role involves collaborating with cross-functional teams to bring features from concept to a shipping product, focusing on the convergence of AI and XR to augment human intelligence. | — | 5 |
| Staff Software Engineer, ML Fleet Systems Staff Software Engineer role focused on building and providing technical leadership for ML Fleet Systems, which involves general software engineering tasks like coding, testing, deploying services, and operational support for AI and Infrastructure teams at Google. The role contributes to the development of AI models and computing power at scale. | Serve | 5 |
| Staff Engineering Manager, Search Real World Journeys This role is for an Engineering Manager at Google Search, focusing on the Real World Journeys (RWJ) Infrastructure team. The team builds the platform that scales AI-forward search experiences in verticals like travel, local, and finance, supporting generative AI surfaces. The manager will lead teams, define technical roadmaps, and oversee the deployment of large-scale projects, ensuring low latency and high reliability for billions of users. | — | 5 |
| Staff Software Engineer, Vertex AI, Workbench Staff Software Engineer role focused on building foundational infrastructure for Gen AI agents within Vertex AI Notebooks on Google Cloud Platform. The role involves technical leadership, driving product initiatives, and designing developer tools, with a strong emphasis on backend infrastructure and distributed systems. | Agent | 5 |
| Software Engineer III, YouTube Ads, Traffic Prediction Software Engineer III at Google YouTube Ads focused on designing and implementing prediction models for YouTube creator bundles, contributing to traffic prediction within the advertising platform. Requires experience in software development, full-stack development, and data structures/algorithms. | Data | 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 |
| Technical Lead, Storage Distributed and Sovereign Cloud This role focuses on building and optimizing storage solutions for distributed and sovereign cloud environments, with a specific emphasis on supporting advanced AI/ML workloads. The Technical Lead will drive core storage features, enhance observability, and architect solutions for secure, disconnected environments, while also mentoring engineers and leveraging AI tooling for developer velocity. | — | 5 |
| Platform Customer Engineer, Healthcare and Life Sciences, Google Cloud Customer Engineer for Google Cloud's Healthcare and Life Sciences sector, focusing on AI/ML solutions. Responsibilities include partnering with technical sales teams, understanding customer needs, developing cloud solutions, conducting proofs-of-concept, and troubleshooting technical issues. Requires experience with cloud-native architecture, customer-facing roles, and machine learning model development and deployment. | — | 5 |
| Senior Software Engineer, Finance and Growth Platform, Payments This role is for a Senior Software Engineer on the Consumer Payments Finance and Growth Platform team at Google. The team owns the infrastructure for payments data processing, growth, engagement, and business generation. The role involves designing, developing, and maintaining scalable features and infrastructure, contributing to architectural evolution, and ensuring performance and reliability of critical services. While the role requires experience with Generative AI and agentic technologies, the core function is engineering for a financial platform, not building core AI models or research. | — | 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 |
| Software Engineer, Finance and Growth Platform, Payments Software Engineer on the Consumer Payments Finance and Growth Platform team at Google, focusing on infrastructure for payments data processing, growth, engagement, and business generation. The role involves designing, developing, and maintaining scalable features and infrastructure, contributing to architectural evolution, and ensuring performance and reliability of critical services. Minimum qualifications include 2 years of software development experience and 1 year of experience with Generative AI, Agentic AI, LLMs, AI evaluations, training, or models. Preferred qualifications include experience with AI/ML systems and developing Generative AI Agentic solutions. | — | 5 |
| AI Adoption Customer Engineer Customer Engineer role focused on driving adoption of Google Cloud enterprise AI products, acting as a trusted advisor and technical leader for AI solution engineering and deployment. | Agent | 5 |
