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 |
|---|---|---|
| Machine Learning Hardware Architect, Hardware, Software Co-Design, Google Cloud This role focuses on architecting and defining the roadmap for AI/ML hardware acceleration, specifically TPUs, for Google Cloud. It involves co-design between model architecture and next-generation hardware, optimizing for ML serving and training capabilities, and integrating large-scale foundation models with advanced silicon architectures. The role requires defining technical roadmaps, architecting simulation frameworks, guiding system-level performance analysis, and managing cross-functional partnerships across hardware, compiler, and ML teams. | ServePost-train | 9 |
| Forward Deployed Engineer II, GenAI, Google Cloud Forward Deployed Engineer II, GenAI, Google Cloud - This role involves building and deploying bespoke agentic AI solutions for enterprise customers, managing integration complexities, data readiness, and state management. The engineer will act as a builder-consultant, transitioning prototypes to production, architecting connective tissue between AI products and customer infrastructure, and building evaluation and observability pipelines. The role also involves identifying field patterns to inform product roadmaps and mentoring talent. |
| AgentServe |
| 9 |
| Staff Data Scientist, GenAI and Agentic SOC Staff Data Scientist role focused on Generative AI and Agentic Security Operations Center (SOC). The role involves driving ML/AI initiatives, building and scaling infrastructure for developing, fine-tuning, and deploying autonomous security agents, and creating testing/evaluation methodologies for LLMs and agentic workflows in security environments. Collaboration with cross-functional teams and mentoring are also key aspects. | AgentEval Gate | 9 |
| Technical lead, Google Cloud Security Technical lead for Google Cloud Security, focusing on transitioning to an AI-native Security Operations Center (SOC). The role involves architecting an Agent Engine and universal APIs to enable enterprise security teams to orchestrate defense at machine speed, shifting from static workflows to multi-agent ecosystems. | Agent | 8 |
| Software Engineer III, AI/ML GenAI, Google Research Software Engineer III at Google Research focused on implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. The role involves core GenAI concepts like LLMs and Multi-Modal models, with experience in text, image, video, or audio generation being key. The position is primarily focused on serving AI models (L3) with a secondary involvement in post-training aspects (L2). | ServePost-train | 8 |
| Machine Learning SoC Architect, Google Cloud Silicon This role focuses on the architecture of Machine Learning System-on-Chips (SoCs), specifically TPUs, for AI/ML hardware acceleration. The individual will shape the future of AI/ML hardware, drive edge-AI product development, and work on distributed inference technology for real-time systems. Responsibilities include developing architectural specifications, owning IP architecture, collaborating with algorithm teams, performing architecture studies, and leading architectural blocks through the product lifecycle. | Serve | 8 |
| Product Manager II, AI Crisis Resilience Product Manager to define and execute strategy for AI-powered crisis response experiences across Google Search, focusing on timely, accurate, and life-saving information during environmental and humanitarian crises. This role involves leading the development of AI-first systems, partnering with engineering and research teams, and balancing innovative AI solutions with data accuracy and trustworthiness. | Ship | 7 |
| Research Data Scientist II, Waze This role focuses on developing and owning Machine-Learning models for Waze's personalized navigation experience. Responsibilities include feature engineering, model evaluation, tuning, monitoring, and working with product and backend teams to integrate models into production. The role requires experience in data engineering, ML, and cloud platforms. | Post-train | 7 |
| Senior Software Engineer, Duplex Senior Software Engineer role at Google focused on developing AI-powered consumer products, specifically leveraging speech/audio technology and ML infrastructure. The role involves writing and testing code, collaborating with stakeholders, debugging issues, and designing/implementing ML solutions. Requires experience in software development, speech/audio, reinforcement learning, or ML infrastructure, with a focus on product development and ML infrastructure. | ShipServe | 7 |
| Software Engineer III, Duplex Software Engineer III at Google working on the Duplex product, which involves building phone conversation bots. The role requires creating datasets, evaluating AI model quality, and building Python backends for communication within the Geo ecosystem. Collaboration with other engineering teams across Geo, Search, and Research is expected to advance Duplex capabilities. | AgentData | 7 |
| Staff Software Engineer, Google Cloud Storage, AI/ML Staff Software Engineer at Google Cloud Storage, focusing on building and optimizing storage solutions for AI/ML workloads, bridging core storage infrastructure with the demands of training and inference. | ServeData | 7 |
| Senior Software Engineer, Google Cloud, Generative AI, Blackbelt Senior Software Engineer, Google Cloud, Generative AI, Blackbelt role focused on helping customers adopt and integrate Google's Generative AI solutions, including AI Agents and Gemini Enterprise. The role involves understanding customer needs, providing technical expertise, developing integration strategies, and supporting developers in leveraging Generative Language APIs. It requires experience in software development, Python, data science/ML, and specifically with GenAI and AI Agents. | Agent | 7 |
| Technical Lead, Google Cloud Security Technical Lead for Google Cloud Security, focusing on transitioning to an AI-native Security Operations Center (SOC). The role involves architecting an Agent Engine and universal APIs for enterprise security teams to orchestrate defense at machine speed, shifting from static workflows to multi-agent ecosystems. Requires strong software development, ML design, and architecture experience, with a focus on AI/ML integration into enterprise products. | AgentServe | 7 |
| SoC Vision Architect, Silicon, Google Cloud This role focuses on architecting the hardware (SoC Vision Architect) for AI/ML applications, specifically Tensor Processing Units (TPUs) and their associated imaging pipelines (ISP, CODECS). The goal is to define custom silicon solutions that power Google's demanding AI/ML workloads, optimizing for power, performance, and area while integrating advanced computational imaging algorithms and potentially deploying neural networks on specialized hardware. | Serve | 7 |
| Software Engineer II, Engineering Productivity Software Engineer II, Engineering Productivity at Google, focusing on developing and maintaining classifiers for trust policies in search products, supporting trust and safety teams, and integrating with various services. The role requires experience with software development, data structures, algorithms, building developer tools, and using AutoML for NLP tasks, with a preference for familiarity with data pipelines and LLM development. | Ship | 5 |
| Senior Staff Verification Engineer, DSP This role focuses on defining and driving the verification methodology for Digital Signal Processing (DSP) in Google's custom silicon for AI data centers. It involves transitioning from simulation to hardware emulation, architecting the bridge between pre-silicon and post-silicon validation, and establishing sign-off criteria for tape-outs, ensuring the accuracy of 'Golden Models' used in AI infrastructure. | — | 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 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 |
| Software Engineer II, Engineering Productivity Software Engineer II, Engineering Productivity at Google, focusing on developing and maintaining classifiers for trust policies in search products, supporting trust and safety teams, and integrating with various services. The role requires experience with software development, data structures, algorithms, building developer tools, and using AutoML for NLP tasks, with a preference for familiarity with data pipelines and LLM development. | Ship | 5 |
| Senior Software Engineer, Google EDACloud Senior Software Engineer role focused on developing and managing software for deploying Electronic Design Automation (EDA) tools on Google Cloud. The role involves creating automation, back-end RPC services, and cloud-based solutions for scaling workflows. A key aspect is leveraging advanced machine learning techniques to generate user insights, impacting hardware creation at Google. | Serve | 5 |
| Senior Software Engineer, Google Cloud Storage, AI/ML Senior Software Engineer role focused on developing next-generation storage solutions for AI/ML workloads on Google Cloud Platform. The role involves designing and implementing advanced storage solutions, addressing system design issues, developing production-ready code, and contributing to incubation projects. Responsibilities include writing and testing code, participating in design reviews, reviewing code from peers, triaging and debugging issues, and contributing to documentation. The role requires experience with software development, testing, maintenance, launching products, and software design/architecture, with preferred qualifications in data structures, algorithms, technical leadership, file systems, Linux kernel internals, AI/ML workloads, and cloud computing platforms. | — | 5 |
| Senior Board Design Engineer This role focuses on the electrical design of complex High Performance Computing (HPC) systems, specifically driving the development of next-generation AI accelerator boards. The engineer will be responsible for schematic capture, component selection, high-speed interface design, power delivery design, and lab bring-up and debugging of these boards. The role involves cross-functional collaboration with various engineering teams to bring products from concept to mass production. | — | 5 |
| Technical Program Manager, Silicon Development Technical Program Manager for System on a Chip (SoC) development, focusing on edge-AI products with distributed inference technology for real-time systems. The role involves managing complex, multi-disciplinary projects from concept to production, collaborating with various engineering teams, and driving technical decisions, schedules, and risk management. | Serve | 5 |
| SoC Security Architect, Google Cloud Silicon This role focuses on the security architecture of custom silicon for Google Cloud's Edge-Artificial Intelligence products. The primary responsibility is to define and implement hardware security primitives and countermeasures against physical and logical attacks to protect AI accelerators and sensitive information. The role involves working with distributed inference technology and ensuring the security and impenetrability of hardware for edge AI. | — | 5 |
| Senior Staff DSP Design Engineer, Google Cloud This role focuses on designing custom silicon solutions for Google's direct-to-consumer products and Google Cloud, specifically for high-speed data paths and interconnects. The engineer will define roadmaps, evaluate technologies like CPO and advanced FEC, and contribute to the ML, Systems, & Cloud AI organization. Responsibilities include identifying limits of DSP architectures, defining requirements for test chips, driving power-reduction roadmaps, and representing Google in industry standards bodies. | — | 2 |
| Senior Staff DSP Design Engineer, Google Cloud Senior Staff DSP Design Engineer role focused on developing custom silicon solutions for Google's direct-to-consumer products and Google Cloud. The role involves defining roadmaps for high-speed data paths, evaluating technologies like Co-Packaged Optics (CPO), advanced modulation formats, and Forward Error Correction (FEC) for AI computing clusters. Responsibilities include identifying limits of DSP architectures, defining requirements for DSP test chips, driving power-reduction roadmaps, and representing Google in industry standards bodies. | — | 1 |
| Software Engineer III, Infrastructure, Chronicle SOAR Software Engineer III, Infrastructure, Chronicle SOAR at Google. This role focuses on enhancing the reliability, performance, and security of Chronicle SOAR by building, automating, and maintaining systems and tools that operate at Google scale. Responsibilities include designing and building software for reliability and performance, creating automation for operational workflows, developing infrastructure configurations in Go, implementing monitoring/logging/tracing, and analyzing incidents to build preventative software solutions. | — | 0 |
| Silicon Validation Engineer, Google Cloud This role focuses on validating custom silicon solutions for Google's direct-to-consumer products and Google Cloud, specifically within the ML, Systems, & Cloud AI (MSCA) organization. The engineer will define, develop, and execute post-silicon validation content, debug issues across cross-functional teams, and drive silicon from chip to product. The role requires significant experience in silicon validation, firmware development, and embedded software, with a focus on ensuring quality functional coverage for Google designs. | — | 0 |
| Senior Silicon Validation Engineer, Google Cloud Senior Silicon Validation Engineer responsible for defining, developing, and executing post-silicon validation content for custom silicon solutions powering Google's direct-to-consumer products and Google Cloud AI platform. This role involves debugging issues across cross-functional teams and driving silicon from chip to product, ensuring quality functional coverage. | — | 0 |
| Firmware Engineer, Google Cloud Firmware Engineer for Google Cloud, focusing on developing C/C++ firmware for embedded processors on SoCs, including tools for updates, debugging, emulation, and chip bringup. The role involves working within the ML, Systems, & Cloud AI organization, contributing to the data center software stack for SoC deployment. | — | 0 |
| CPU Design Integration Engineer, Google Cloud This role is for a CPU Design Integration Engineer at Google Cloud, focusing on developing custom silicon solutions for Google's direct-to-consumer products and Google Cloud services. The role involves design, integration, and verification of hardware, working with RTL, physical design, and IPs. While the organization works with AI platforms like Vertex AI and designs TPUs, the core responsibilities of this specific engineering role are in traditional CPU/silicon design and integration, not direct AI/ML model development or deployment. | — | 0 |
| Senior Software Engineer, Google Cloud Storage Senior Software Engineer role at Google Cloud Storage focusing on building scalable and reliable features for Filestore, a managed NFS service. The role involves full-stack development, design, testing, and launching features, with a focus on engineering excellence and compliance with regulated requirements. Experience in distributed systems, storage, or networking is preferred. | — | 0 |
| Staff Architect, Digital Signal Processing, Google Cloud Staff Architect, Digital Signal Processing, Google Cloud, responsible for architecting and developing core algorithms for next-generation data center interconnects, leveraging expertise in communication theory, forward error correction, and modulation. This role involves technical leadership, mentorship, and collaboration across hardware and software teams for custom silicon solutions. | — | 0 |
| Software Engineer III, Infrastructure Software Engineer III, Infrastructure role at Google, focusing on developing large-scale infrastructure, distributed systems, or networks. Responsibilities include writing code, participating in design reviews, code reviews, contributing to documentation, and triaging/debugging system issues. Requires a Bachelor's degree or equivalent experience in software development or advanced degree, with specific experience in infrastructure, distributed systems, or compute/storage/hardware architecture. Preferred qualifications include a Master's/PhD, data structures/algorithms experience, accessible technologies, EDA/chip design, and applying AI/ML techniques. | — | 0 |
| Software Engineer III, Full Stack, Chronicle Software Engineer III, Full Stack for Google Cloud's Chronicle platform, focusing on developing and maintaining enterprise-grade solutions that help organizations digitally transform. The role involves writing product/system code, participating in design reviews, code reviews, debugging, and contributing to documentation. | — | 0 |
| Software Engineer III, Database Migration Service, Cloud Software Engineer III for Google Cloud's Database Migration Service, focusing on building and extending SQL services and engines. The role involves managing project priorities, designing, developing, testing, deploying, maintaining, and enhancing software solutions. While the team is involved in generative AI efforts, the core responsibility is in database migration service development and architecture guidance. | — | 0 |
| Software Engineer III, Waze, Mobile (Android) Software Engineer III at Google working on the Waze mobile (Android) application, focusing on product and system development, code reviews, and issue triaging. Requires a Bachelor's degree and experience in software development and Android development. | — | 0 |
| Senior Silicon DFT Engineer, Google Cloud Senior Silicon DFT Engineer responsible for Design for Testing (DFT) Architecture and DFT design for complex ASICs, leading DFT activities, developing flows, automation, and methodology, and ensuring DFT quality throughout the project lifecycle. | — | 0 |
| Senior Post-Silicon Validation Engineer, Networking This role focuses on the post-silicon validation of custom networking silicon for Google's direct-to-consumer products and cloud infrastructure. The engineer will develop test plans, write and execute tests in Python or C/C++, and lead bring-up, troubleshooting, and debug efforts on silicon to ensure quality and functionality. | — | 0 |
| Software Engineer III, Search Console Configuration Software Engineer III at Google working on Search Console, focusing on developing scalable services and pipelines, writing product/system development code, managing project priorities, and debugging issues. The role involves working on technologies that impact billions of users globally, with opportunities to contribute to various aspects of Google's search and information access products. | — | 0 |
| Silicon Validation and Debug Engineer This role involves developing and improving post-silicon test content for custom silicon solutions that power Google's direct-to-consumer products. The engineer will collaborate with various teams to define validation plans, optimize SoC power efficiency and performance, develop automated test scripts, and participate in silicon and platform bring-up activities. The role requires experience in functional tests for silicon validation, bring-up, characterization, qualification, and debugging. | — | 0 |
| Staff Design Engineer, Networking, Google Cloud This role focuses on designing and implementing custom silicon solutions (ASICs) for accelerating networking in Google's data centers. The engineer will lead ASIC subsystems, define hardware/software interfaces, and collaborate with cross-functional teams throughout the design process. While the role is within an organization that supports AI services, the core responsibilities are in hardware engineering for networking infrastructure, not direct AI/ML model development or deployment. | — | 0 |
| Senior SOC DFT Engineer, Google Cloud This role is for a Senior SOC DFT Engineer focused on designing and implementing Design for Testing (DFT) solutions for large-scale ASICs. The responsibilities include leading DFT architecture, developing flows and automation, managing team workload, and ensuring DFT quality throughout the ASIC development lifecycle. The role requires extensive experience in ATPG, DFT design and verification, and leading DFT activities. | — | 0 |
| Senior Digital Signal Processing Engineer, Google Cloud Senior Digital Signal Processing Engineer role focused on designing and implementing DSP algorithms for high-speed PHYs, turning communication theory into silicon logic. Responsibilities include fixed-point analysis and developing bit-exact models for verification. The role is within the ML, Systems, & Cloud AI (MSCA) organization, but the core function is DSP engineering for hardware, not direct AI model development. | — | 0 |
| Silicon Validation and Automation Engineer This role focuses on silicon validation and automation engineering for Google's hardware products. Responsibilities include running and analyzing CI regression results, designing and implementing new regression methods and infrastructure, debugging issues, and developing/maintaining tools for silicon validation and debug. The role requires experience in post-silicon validation, SoC debug, CI systems, lab equipment, and scripting languages like Python. | — | 0 |
| ChipDev CAD Engineer, Hardware, Google Cloud Software Engineer role focused on developing tools to improve the hardware design process within Google Cloud. The role involves creating automation for ASIC and SoC EDA flows, working with hardware teams, and ensuring software quality and efficiency. It requires experience in software development, data structures, algorithms, and building developer tools. | — | 0 |
| CPU Logic Design Engineer, Google Cloud This role focuses on designing custom silicon solutions for Google's direct-to-consumer products, specifically CPU logic design with an emphasis on micro-architecture and RTL design. The role is within the ML, Systems, and Cloud AI (MSCA) organization, which designs hardware and software infrastructure for Google services and Google Cloud, including AI platforms like Vertex AI. However, the core responsibilities are in hardware engineering, not direct AI/ML model development. | — | 0 |
| Software Engineer III, Front End, Chronicle SOAR Software Engineer III, Front End, Chronicle SOAR at Google. This role focuses on developing and enhancing software solutions for a Security Orchestration, Automation Response (SOAR) product within Google Cloud Security. Responsibilities include writing product code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging issues. Requires experience in front-end and UI development, with preferred qualifications in data structures, algorithms, and accessible technologies. | — | 0 |
| Senior Silicon Validation Engineer, CPU Senior Silicon Validation Engineer for Google Cloud's custom silicon solutions, focusing on post-silicon validation to ensure high quality and reliability of cloud infrastructure. Responsibilities include defining and executing validation content, debugging issues across cross-functional teams, and driving silicon from chip to product. | — | 0 |
| SOC Performance Engineer, Google Cloud This role focuses on designing, implementing, and validating custom silicon solutions for Google's direct-to-consumer products and Google Cloud infrastructure, specifically within the ML, Systems, & Cloud AI (MSCA) organization. The engineer will utilize performance and power models, design tests, develop pre-silicon benchmark representations, analyze and resolve performance issues, and create performance measurement frameworks and KPIs. The role requires extensive experience in SoC/CPU performance and power modeling, analysis, debugging, and computer architecture. | — | 0 |