Currently tracking 498 active AI roles, down 12% versus the prior 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 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 |
|---|---|---|
| Forward Deployed Engineer, Generative AI, Google Cloud Forward Deployed Engineer for Google Cloud's Generative AI team, focused on taking frontier AI products and making them production-grade for enterprise customers. This involves solving integration complexities, data readiness, and state management for agentic workflows, and acting as a feedback loop to product teams. | AgentServe | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Forward Deployed Engineer for Google Cloud's Generative AI team, focused on bridging frontier AI products with production-grade reality for enterprise customers. Responsibilities include leading development of agentic workflows, architecting integrations, building evaluation and observability pipelines, and acting as a feedback loop for product roadmap. Requires experience with GenAI, foundation models, RAG, and cloud platforms, with a focus on deploying AI systems into complex customer environments. |
| AgentServe |
| 9 |
| Forward Deployed Engineer, Google Cloud Forward Deployed Architect for Google Cloud's Generative AI team, focused on building and deploying reference agentic solutions for enterprise customers. This role involves integrating AI models with customer infrastructure, addressing data readiness and state management, and developing evaluation and observability frameworks. The position also acts as a feedback loop to the product roadmap. | AgentServe | 8 |
| Software Engineer, On Device Machine Learning Software Engineer role focused on adapting and serving AI/ML models for on-device execution, creating AI-powered user-facing features, and optimizing model performance on hardware accelerators. Involves model adaptation, serving infrastructure, quality testing, and customization for specific domains. | ServePost-train | 8 |
| Forward Deployed Engineering Manager, GenAI, Google Cloud Manager of GenAI Forward Deployed Engineering (FDE) team leading AI/ML engineers to deploy bespoke agentic solutions within customer environments, providing technical mentorship and strategic alignment with Product, Engineering, and Sales leadership. | Agent | 8 |
| AI/ML Software Engineering Manager, Google Home Camera Lead an engineering team developing on-device machine learning models and ML pipelines for smart home cameras, managing the full lifecycle of AI-powered features with a focus on performance, power, latency, and thermal constraints on resource-constrained hardware. Responsibilities include driving ML deployment pipelines, managing trade-offs between model performance and hardware, and maintaining high engineering standards for C++ development in an embedded context. | ServePost-train | 8 |
| Software Engineer, AI Application and Agentic Development Software Engineer role focused on building AI-driven tools and infrastructure for testing Pixel devices. The role involves creating autonomous agents, developing scalable AI-native infrastructure, and integrating AI into CI/CD pipelines and HIL systems. Emphasis on agentic development, LLMs, and internal productivity tools. | AgentServe | 8 |
| Senior Software Engineer, Cloud AI/ML Infrastructure Senior Software Engineer role focused on optimizing the performance, developing tools, and troubleshooting AI/ML training and inference workloads within Google's AI infrastructure. The role involves working with distributed computing, GPUs/TPUs, and ensuring the reliability and efficiency of AI services. | Serve | 8 |
| Software Engineering Manager, Pixel Camera Software Engineering Manager for Google's Pixel Camera team, responsible for leading a team of engineers in designing and building Android applications and server components. The role involves leading innovative camera AI feature development, architecting technical solutions on Pixel devices, and collaborating with cross-functional teams to deliver user-facing products that leverage Google AI, software, and hardware. | Ship | 7 |
| Software Engineer, Apps, Pixel Software Engineer role focused on building AI-native experiences for Pixel apps, integrating Gemini and agentic engineering principles into the Android ecosystem. The role involves end-to-end development of both Android and server components, with a strong emphasis on partnering with AI/ML teams to leverage cutting-edge model capabilities and create personalized, innovative user experiences. | AgentServe | 7 |
| Software Engineer, Generative AI Agent, Pixel Quality Software Engineer role focused on building AI-powered quality infrastructure for Pixel devices. The role involves driving innovation, end-to-end ownership, and cross-functional collaboration, with a specific emphasis on generative AI agents and agentic workflows. | Agent | 7 |
| Software Engineering Manager, XR Engineering Productivity Software Engineering Manager for XR Engineering Productivity, focusing on building AI tools and agents to optimize developer workflows, triage bugs, and perform RCA. The role involves managing engineers, setting expectations, developing automated test frameworks, and optimizing system-level performance, with a focus on the convergence of AI and XR. | AgentData | 7 |
| Senior Software Engineer, AI, TPU Infrastructure The Senior Software Engineer, AI, TPU Infrastructure role focuses on designing, developing, and validating TPU-based systems and building cloud compute software for TPU AI infrastructure. This role involves working with large-scale infrastructure and distributed systems to support AI model development and deployment. | Serve | 7 |
| Software Tech Lead, GPU, AI Infrastructure This role involves leading a team focused on developing and integrating system software for GPU-based AI/ML supercomputers in Google's data centers. The work includes designing, developing, testing, and debugging system software and networking technologies for accelerator products, with a focus on enabling AI/ML innovations for Google and its Cloud customers. The role requires interaction with various software and hardware components, collaboration with cross-functional teams, and setting team priorities and technical roadmaps. | Serve | 7 |
| Software Engineering Manager, GPU AI Infrastructure Software Engineering Manager responsible for leading a team that develops system software and networking technologies for GPU-based AI/ML supercomputers in Google's data centers. This includes managing engineers, defining technical roadmaps, and overseeing the integration, testing, deployment, and debugging of system software for accelerator products. | Serve | 7 |
| Senior Software Engineer, TPU, AI Infrastructure Senior Software Engineer role focused on developing firmware and low-level software for Google's custom AI accelerators (TPUs). The role involves designing, building, and debugging hardware-software interfaces, firmware, simulators, and telemetry systems for ASICs, working closely with chip design and ML infrastructure teams to enable large-scale AI model deployment and operation. | Serve | 7 |
| Software Engineer, Generative AI Blackbelt, Google Cloud Platform Software Engineer role focused on Google Cloud's Generative AI offerings, supporting customers in leveraging AI and LLM APIs to build their own AI products. This involves understanding customer needs, providing AI expertise, recommending integration strategies, and supporting developers. | Ship | 7 |
| Manufacturing Test Development Engineer This role focuses on developing and deploying manufacturing test solutions for new ML products, ensuring their quality and reliability at scale. The engineer will work on custom silicon for AI infrastructure, partnering with design teams, managing test station bring-up at contract manufacturers, and analyzing manufacturing data to improve test processes and support root-cause failure analysis. The role is critical for enabling the scaling of Google's AI infrastructure. | Ship | 7 |
| Software Engineer, Android User Experience, Pixel Software Engineer role focused on integrating AI models into the Android User Experience for Pixel devices, specifically for an attention management feature. Responsibilities include designing and implementing the AI feature, optimizing performance and latency in collaboration with hardware teams, and building the application UI. | Agent | 7 |
| Software Engineer, Engineering Productivity, Pixel Tools Software Engineer on the Pixel System Health Engineering Productivity team, focused on applying AI/ML (like Gemini) to automate bug triage, justify device quality, and improve overall Pixel product reliability and performance. The role involves developing and scaling automated triage systems, building predictive tools, and collaborating with cross-functional teams to integrate AI-powered solutions. | Agent | 7 |
| Senior Software Engineer, AI, TPU, Infrastructure The role focuses on designing and implementing software for AI infrastructure, specifically connecting Tensor Processing Unit (TPU) clusters and cloud systems. It involves building and integrating cloud compute software to support AI development and deployment at scale. | Serve | 7 |
| Senior Software Engineer, Google Home Camera Senior Software Engineer for Google Home Camera, focusing on the camera stack and On-Device Machine Learning (ODML) framework for AI home security products. Responsible for end-to-end ownership of NPI projects, advancing computing technologies for consumer devices, and providing technical coaching. | ServePost-train | 7 |
| Senior Software Engineer, TPU, AI Infrastructure Senior Software Engineer role focused on developing firmware and software for Google's custom AI accelerators (TPUs). The role involves designing and building low-level C++ code for embedded micro-controllers on ASICs, co-designing hardware/software interfaces, developing tools for ASIC bring-up and debugging, building simulators, and architecting telemetry systems for monitoring TPUs. This position is crucial for enabling the development and scaling of AI models and infrastructure at Google. | Serve | 7 |
| Software Engineering Manager, GPU AI Infrastructure Software Engineering Manager responsible for leading a team that develops system software and networking technologies for GPU-based AI/ML supercomputers in Google's data centers. This includes managing engineers, defining technical roadmaps, and overseeing the integration, testing, deployment, and debugging of system software for accelerator products. | Serve | 7 |
| Senior AI System Engineer Senior AI System Engineer role focused on influencing Tensor SoC architecture for AI/ML workloads on Pixel devices. This involves cross-functional collaboration with SW/HW architects and research teams to optimize for Power, Performance, and Area (PPA) trade-offs, enabling advanced Generative AI experiences. The role requires a data-driven approach using profiling, simulation, and modeling to define future SoC architectures and system design documentation. | Serve | 7 |
| Software Engineer III, AI Infrastructure, TPU, Cloud Storage Software Engineer III role focused on building and integrating Cloud Compute software to bootstrap TPU AI Infrastructure, including OS image deployment and node-specific software for computation offload, integrating with TPU clusters and cloud infrastructure. The role involves collaboration with TPU Software and Hardware teams and partnering with cross-functional leaders to shape ML infrastructure. | Serve | 7 |
| 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 |
| AI Sales Specialist Manager, Google Cloud (English, Mandarin) This role is for an AI Sales Specialist Manager at Google Cloud, responsible for leading a team to grow the AI business by building customer relationships and driving sales. The role involves working cross-functionally with internal teams and partners to identify AI use cases, articulate solution differentiators, and manage business pipelines to accelerate growth. The ideal candidate has extensive experience in enterprise software/cloud/AI sales, team leadership, and promoting cloud-based IT solutions, with fluency in English and Mandarin. | — | 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 |
| AI Advocate, Cloud AI, Greater China (English, Mandarin) This role is an AI Advocate for Google Cloud AI in Greater China, focusing on promoting Google AI technologies to developers. Responsibilities include writing sample code, participating in developer forums, troubleshooting, providing feedback to product teams, and driving strategy for developer communities. The role requires strong technical skills in programming languages with a focus on ML/Gen AI applications, and excellent communication in Mandarin and English. | — | 5 |
| Senior GPU Software Engineer, System Software, AI Infrastructure This role focuses on developing and maintaining the system software stack for GPUs, which are critical for powering various Google services including AI infrastructure. The engineer will provide technical leadership, drive integration of next-generation GPU accelerators, and ensure the reliability and performance of these systems within Google's data centers. While the role supports AI infrastructure, the core craft is in GPU system software engineering, not direct AI/ML model development. | — | 5 |
| Software Engineer, Web Platforms for Smart Manufacturing Software Engineer role focused on building full-stack web applications and backend services for smart manufacturing, with a key responsibility to integrate AI models (like Gemini) and intelligent agents to enhance factory operations through predictive analysis and anomaly detection. The role involves owning projects from prototype to production and collaborating with cross-functional teams. | Ship | 5 |
| Software Engineer Manager II, Emerging On-prem AI Infrastructure This role is for a Software Engineering Manager II at Google, focusing on Emerging On-prem AI Infrastructure in Taipei. The manager will lead a team of engineers, set technical roadmaps for operational tooling and repair automation, and manage systems development engineers. The team's work involves empowering Google customers with AI and Infrastructure at scale, supporting AI model development, and providing platforms for developers. The role requires experience in software development, technical leadership, people management, and building cloud or systems-level infrastructure. | — | 5 |
| Senior GPU Software Engineer, Embedded System, AI Infrastructure This role focuses on designing, developing, and maintaining the system software stack for GPUs used in AI infrastructure within Google's data centers. The engineer will provide technical leadership, drive software development plans, and guide system software integration for next-generation GPU accelerators. While the role supports AI infrastructure, the core craft is in GPU system software engineering, not direct AI/ML model development. | — | 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 |
| Senior GPU Software Engineer, System Software, AI Infrastructure This role focuses on building and maintaining the system software stack for GPUs, which are critical for powering AI infrastructure and services at Google. While not directly building AI models, the engineer will work on the underlying systems that enable AI computations at scale. | — | 5 |
| AI Advocate, Cloud AI, Greater China (English, Mandarin) This role is an AI Advocate for Google Cloud AI in Greater China, focusing on promoting Google AI technologies to developers. Responsibilities include writing sample code, participating in developer forums, troubleshooting, providing feedback to product teams, and driving strategy for developer communities. The role requires strong technical skills in programming languages with a focus on ML/Gen AI applications, and excellent communication in Mandarin and English. | — | 5 |
| Software Engineer Manager II, DTA Tools Manage a team of engineers developing debug and analytics tools for Google's custom silicon (e.g., tensor), utilizing GenAI to pinpoint silicon issues and enhance productivity. The role involves HW/SW co-design and leading the DTA Tools team in Taipei. | — | 5 |
| Software Engineer, PhD, Early Careers, Google Cloud Google is seeking a Software Engineer with a PhD for their AI and Infrastructure team in Taipei. This role focuses on developing and scaling AI and infrastructure capabilities for Google customers, including internal teams, Google Cloud customers, and end-users worldwide. Responsibilities include writing product/system development code, participating in design reviews, code reviews, contributing to documentation, and triaging/debugging system issues. The role requires a PhD in Computer Science or equivalent, and experience with C, C++, Java, or Python, and distributed systems. Experience with performance analysis, large-scale systems, and debugging is preferred. | — | 5 |
| Software Engineering Manager, Pixel Hearables Software Engineering Manager for Google Pixel Hearables, responsible for leading a team, defining product strategy, and driving test automation. The role involves managing engineers, mentoring, and advocating for the use of AI tools to improve testing processes. While AI is mentioned as a tool to enhance efficiency, the core function is product development and quality assurance for consumer hearable devices. | — | 3 |
| Firmware Engineer, Layer 3 Cellular Protocol Stack, Pixel Firmware Engineer for Google Pixel's cellular protocol stack, focusing on RRC protocol development and optimization. The role involves AI-based tool development for process automation and performance improvement, alongside traditional firmware engineering tasks. | — | 2 |
| Software Engineer Manager II, Silicon Tools Manage a team of engineers developing debug and analytics tools for Google's custom silicon, focusing on hardware/software co-design and improving internal team productivity. The role involves leading design reviews, collaborating cross-functionally, and overseeing work with early hardware prototypes. A key aspect is directing the application of GenAI to pinpoint silicon issues and enhance team productivity. | — | 1 |
| Software Engineer Manager, Platforms Release Engineering, Google Cloud Software Engineering Manager for Google Cloud Platforms Release Engineering in Taipei. This role focuses on managing a team of engineers to ensure the quality, scalability, and performance of platform system software for Google data centers, including computation, storage, and accelerators. The manager will lead software qualification and release pipelines, collaborate with cross-functional teams, and adopt AI technologies to enhance test engineering productivity. The role requires strong technical leadership, people management, and experience in software development, testing, and release management. | — | 1 |
| Senior Firmware Engineer, Layer 3 Cellular Protocol Stack This role is for a Senior Firmware Engineer focused on the Layer 3 Cellular Protocol Stack within the Pixel Mobile Wireless (PMW) team. The engineer will design, develop, and optimize the RRC protocol stack, including research of RRC layer features, analysis of RRC layer issues, and AI-based tool development for call performance analysis. The role involves cross-layer collaboration and optimizing processes using AI-related strategies for automation in issue analysis and testing. While AI tools are mentioned for optimization, the core deliverable is firmware for the RRC protocol stack, not AI models or agents themselves. | — | 1 |
| Software Engineer III, Server System, Google Cloud Software Engineer III for Google Cloud's Server System team, focusing on developing and maintaining the underlying infrastructure that powers Google's services. The role involves designing, developing, and implementing scalable server programs, with a focus on firmware design, kernel development, and system integration. Responsibilities include triaging issues, debugging, and participating in design reviews. | — | 0 |
| Product Design Engineer, Pixel Wearables Accessories Product Design Engineer for Pixel wearable accessories, responsible for designing, building, and validating new accessories from concept to mass production, collaborating with cross-functional teams and manufacturing partners. | — | 0 |
| Software Engineer, Wireless Connectivity, Pixel Software Engineer role focused on building next-generation embedded systems for Pixel phones and wearable devices, specifically for 4G/5G wireless connectivity. The role involves full-stack development from drivers/RTOS/firmware to Android programming and developer tools, working with hardware prototypes and shipping consumer products. Responsibilities include designing and implementing core software platforms for modems, developing scalable frameworks, bringing up new hardware, creating tools, optimizing performance, and building automated test systems. Requires experience in software development, data structures, and algorithms, with preferred experience in embedded mobile devices and wireless connectivity. | — | 0 |
| Senior Ads Solutions Engineer, gTech Ads Solutions Engineering This role is part of the gTech Ads Solutions Engineering team, responsible for providing technical and media services to customers using Google's Ad products. The role involves collecting requirements, designing and building scalable solutions, adapting existing solutions, and managing the solution lifecycle. It requires strong engineering and coding skills, with experience in client-side web technologies and troubleshooting. | — | 0 |
| Software Engineer, GPU System Software Software Engineer role focused on building and maintaining GPU system software, including drivers and firmware, to power Google services like Google Cloud and DeepMind. The role involves designing, developing, and integrating system software for GPU accelerators, with a focus on reliability, monitoring, and enabling AI applications. | — | 0 |
| Software Engineering Manager, Release Engineering, Google Cloud Platforms Software Engineering Manager for Release Engineering on Google Cloud Platforms, focusing on delivering flawless, scalable, and performant platforms system software from NPI to production through automated infrastructure. The role involves leading software engineers, managing the release pipeline, collaborating with cross-functional teams, and adopting AI technology to enhance test engineering productivity. | — | 0 |