Google

Manager for a team of 11 Software Engineers focused on scaling Google's foundational storage infrastructure, specifically driving technical strategy for large-scale GCS object inference across different data formats. The role involves people management, technical leadership, and strategic execution within Google Cloud.

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.

This role is for a Senior Master Technician on the Embodied Systems team at Google DeepMind Robotics, focusing on the hardware operations and maintenance of humanoid robots. The technician will be responsible for translating schematics into service manuals, acting as Tier 3 support for critical failures, leading technical onboarding for contractors, providing feedback to R&D for hardware improvements, and performing precision tasks like IMU alignment and calibration. The role is ground-floor, contributing to the processes and products of a new hardware-centric group aimed at accelerating AI research in the physical domain.

This role focuses on growing Google's AI business by building and expanding customer relationships, demonstrating product functionality, and identifying business use cases. The AI Sales Specialist will work with customers to deliver business value and help them build new products leveraging Google's AI solutions, while also managing day-to-day relationships with cross-functional teams and external customers.

Staff Software Engineer on the YouTube Data Science team, responsible for influencing product and engineering leadership through data science. The role involves developing projects, collaborating across teams, and using AI tools like Gemini to support data-driven initiatives. Key responsibilities include aligning teams, managing project priorities, designing and deploying software solutions, and supporting data engineering needs.

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.

Senior Software Engineer role focused on developing tools and systems for product security, with a specific emphasis on AI agents. The role involves designing and implementing Go and Python AI agents, building features on internal systems, and contributing to technical roadmaps. Experience with AI and security assessments is preferred.

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.

This role is for a Senior Quantitative UX Researcher focused on understanding user behaviors and needs for merchant shopping products. The role involves conducting primary research, analyzing data, and developing metrics to influence product strategy. A key aspect is developing AI-integrated workflows for UXers and leveraging AI/ML knowledge to inform research. The role is not directly building AI models but uses AI/ML concepts and tools.

Software Engineer II for Google Pay for Business, focusing on empowering SMBs with intuitive tools. The role involves designing, developing, testing, deploying, and maintaining mobile software (user-facing apps and server-side APIs) using Flutter. It emphasizes collaboration with product managers and designers, writing high-quality code, and advocating for product excellence. The team uses AI tools to enhance development workflows and ensure complex technology feels simple for merchants. The role is within the Payments team, focused on making payments simple, seamless, and secure.

This role is for a Hardware System Architect for Google's Pixel Watch, focusing on defining and implementing the hardware architecture for wearable products to enable ambient and edge computing applications. The architect will ensure subsystems meet performance, power, and cost goals, and will analyze data processing paths and associated hardware, silicon, and software solutions. The role involves collaboration with internal teams and external partners, and investigating emerging technologies for future products. While the role touches on AI/ML for on-device processing and AI accelerators, its core focus is hardware system architecture for consumer electronics, not AI model development.

This role focuses on developing and managing content strategy for user support across various channels, including AI-driven tools and agent knowledge bases. The Content Strategist will ensure the creation and delivery of accurate, high-quality content, collaborate with stakeholders, and monitor content performance. A key aspect involves working with AI-enabled content creation tools, providing feedback for their improvement, and staying updated on best practices for AI consumption of information.

Product Manager for YouTube Ads, focusing on driving AI adoption and implementing AI-powered creative automation experiences for advertisers. This role involves cross-functional leadership, guiding products from conception to launch, and scaling advertiser guidance initiatives.

Google is seeking a Senior Technical Program Manager for its Search Intelligence group, focusing on AI Quality for next-generation AI experiences in Search. The role involves leading high-priority programs, driving collaboration, applying technical judgment to navigate trade-offs, and streamlining operational processes. The ideal candidate will have a strong background in program management and machine learning/AI, with experience in quality evaluation and R&D components.

This role focuses on designing and delivering reward programs for AI talent at Google DeepMind. While the company is a leading AI lab and the role involves advising on AI talent strategy and using AI tools, the core function is HR/Reward, not building AI models or systems.

This role is a Solutions Consultant for Google for Education, focusing on integrating Google's tools, including AI-powered ones like Gemini, into educational institutions. The role involves direct sales, technical advocacy, customer requirement analysis, solution design, and presenting product demonstrations. While AI tools are used and promoted, the core function is not building or researching AI models but rather applying them within an educational product context.

This role focuses on managing and scaling solutions for the Google Play Store, utilizing human insights and machine learning. The core responsibilities involve designing and owning human computation tasks for data labeling, collaborating with cross-functional teams to launch features, and ensuring the quality and reliability of data streams that feed into ML models and product decisions. The role emphasizes data quality, operational improvements, and staying updated on data labeling methods, including LLM-first solutions.

Google Cloud Platform (GCP) and App Hub are looking for a Senior Software Engineer to help deliver an AI-driven, application-focused perspective of GCP infrastructure. This role will abstract infrastructure primitives to boost productivity for platform operators, application developers, and operators through more efficient development, deployment, and DevOps workflows. The team manages the complete App Hub interface, ensuring a seamless experience for application-centric observability, manageability, and governance, including performance monitoring and policy management. The role will contribute to GCP's strategy for an application-centric, AI-powered cloud and involve the development and maintenance of essential components of the Application Platform architecture.

This role supports the finance team for Google's AI Cloud products. The analyst will partner with engineering, TI, and PM to analyze the performance and TCO of AI product SKUs, forecast customer demand and profitability, and develop cost insights for new product introductions. The role requires experience in financial planning and analysis, with a preference for knowledge of Google's technical infrastructure and AI/ML economics.

Product Manager for Gemini in Chrome, focused on driving user growth and adoption of an AI-powered browsing assistant. This role involves owning the top-of-funnel experience, acquisition, and onboarding, working at the intersection of product, growth marketing, and data science to scale user engagement and conversion for AI features within Chrome.

Staff Software Engineer role focused on designing and leading feature development for the GKE Agent Gateway, enhancing capabilities for AI/ML workloads and contributing to the Kubernetes open-source project. The role involves collaboration with Load Balancing teams, ensuring optimal routing, load balancing, and autoscaling for inference serving, and improving observability, testability, and reliability of the Inference Gateway.

This role is for a Senior AI Sales Specialist for Google Cloud in Tokyo, Japan. The primary focus is on growing the AI business by building customer relationships, demonstrating product functionality, and identifying use cases for Google's AI solutions. The role involves working with customers to deliver business value and helping them build new products leveraging AI. It requires a strong understanding of AI technologies and the ability to drive sales and achieve business goals.

Software Engineer role focused on the Google Ads budgeting system, involving data analysis, algorithm development (including ML-based techniques), and large-scale system design and implementation in C++. The role aims to improve the efficacy of core budgeting systems.

This role focuses on policy development and recommendations for Generative AI products within Google's Trust & Safety team. The Product Policy Lead will collaborate with product managers and engineers to influence product decisions, drive research in the multimodal Generative AI space, and set industry standards. They will also provide updates to executives and partner with Deepmind on model-level policies. The role requires experience in policy, legal, or trust and safety environments, with a focus on AI-related policy issues.

This role is for a Senior Technical Program Manager on the Finance Data and Analytics team at Google. The primary focus is on defining and executing a multi-year data strategy to enable the AI-driven transformation of Google's Finance organization. Responsibilities include leading programs for data standards, lineage, integration of financial systems, data warehousing, and BI enablement, with a strong emphasis on technical judgment for data modeling and architecture choices. The role requires extensive experience in program management, data modeling, SQL, ETL/ELT, and data warehousing, with a preference for experience in finance domains and regulatory compliance.

This role focuses on the verification of AI/ML hardware accelerators (TPUs) that power Google's AI/ML applications. The engineer will ensure the reliability and performance of these complex digital designs by developing verification environments, writing tests, and collaborating with design teams throughout the full verification lifecycle.

Staff Software Engineer at Google Cloud's GCE team, focusing on building and scaling compute infrastructure for AI/ML workloads. The role involves innovating in virtualized storage, networking, and customer workload management to support training and inference VMs, ensuring availability, reliability, and performance of the underlying infrastructure.

This role involves developing custom silicon solutions (ASICs) for accelerating machine learning computation in data centers. The engineer will collaborate on micro-architecture, design, and integration of these accelerators, focusing on performance, power, and area. While the role is in hardware engineering, it directly supports AI/ML infrastructure.

Machine Learning Engineer focused on compiler optimization for hardware design, leveraging ML infrastructure to improve semiconductor development velocity and quality within Google's internal tools.

This role focuses on security and compliance engineering within a large organization that develops and supports multiple products, including specialized Machine Learning (ML) applications. The engineer will lead the transition to an AI-Driven development lifecycle, ensuring security for agent platforms and developer tools, and acting as a technical authority for cross-product security strategy and risk mitigation.

This role is in Strategy and Operations for Google Cloud Applied AI, focusing on Gemini Enterprise and agentic AI solutions for enterprise operations. The role involves managing business cadences, customer engagements, and communications strategy to drive adoption and impact. It is not a hands-on AI/ML development role but supports AI product delivery.

This role focuses on leveraging creative AI to develop and execute innovative creative strategies for strategic clients within Google's Large Customer Sales (LCS) team. The associate will act as a creative consultant, influencing marketing leadership and shaping ad strategies aligned with advertiser objectives, while also partnering with various internal teams to ensure seamless execution and measurable business outcomes. The role requires experience in creative advertising, digital media, and a strong understanding of Google/YouTube ad solutions, with a specialization in creative ads products and generative AI.

Staff Software Engineer role focused on designing and deploying network infrastructure that supports AI/ML growth and applications. The role involves end-to-end planning, design, and deployment of network transformation, with a focus on software infrastructure for traffic demand, capacity planning, cost optimization, and automated deployment. Responsibilities include leading technical direction, driving software design, analyzing AI/ML applications, and improving development velocity. Requires experience in large-scale infrastructure, distributed systems, networks, software design, and computational modeling techniques like integer and linear programming.

Staff Software Engineer at Google Cloud focused on advancing the scheduleability and auto-tuning capabilities of a planet-scale data processing infrastructure platform that powers foundational ML features and next-generation AI initiatives. The role involves technical leadership in designing, developing, and maintaining large-scale distributed systems critical for ML pipelines.

Solutions Architect for Google Cloud, focusing on the Data Cloud portfolio (Databases, Big Query, Looker) and Vertex AI. The role involves working with customers and internal teams to design and present technical solutions, create technical collateral, and provide customer feedback to Product and Engineering. Requires experience with data pipelines, warehousing, SQL/NoSQL, Python/Java, and Google Cloud's Vertex Platform, with preferred experience in architecting unified Data and AI/ML platforms for Generative AI.

Google is seeking a Staff Software Engineer to work on Woodshed, an AI/ML Storage system that provides exabyte-scale foundation for all ML workloads at Google, aiming to accelerate ML training and inferences and simplify ML data management. The role involves technical leadership, project management, and collaboration with infrastructure and client teams to guide integrations for high-impact projects.

This role focuses on building and maintaining a high-performance telemetry infrastructure to support demanding workloads, including LLM training. The engineer will write product/system development code, participate in design reviews, review code, contribute to documentation, and triage/debug system issues. While the role supports AI workloads, its core craft is infrastructure and telemetry, not direct AI/ML model development.

This role is a Quality Control Manager for Google's gTech Ads division, focusing on improving customer experience and operational efficiency within the advertising products stack. The manager will establish quality processes, leverage automation and ML for quality control, share insights, and drive standardization across regions. While the role mentions utilizing ML and AI tools, its core function is quality management and process improvement within an advertising support context, not direct AI/ML model development or research.

Consultant to guide enterprise customers in adopting AI and agentic AI systems to drive business outcomes, re-imagine core business functions, and design new AI-augmented operating models. Focuses on strategic roadmaps, business cases, change management, and human-in-the-loop governance for AI agents.

Product Manager for Google Search, focusing on Sports and Entertainment verticals. Responsibilities include defining features and roadmaps, assessing model quality through evaluations, partnering with stakeholders, and utilizing AI for personal productivity and prototyping.

This role focuses on guiding Public Sector customers in developing, configuring, and deploying their data and AI solutions on Google Cloud Platform. It involves providing architecture guidance, supporting ML model development and deployment, and ensuring optimal data pipeline performance. The role requires strong data engineering skills, experience with relational databases and object-oriented programming, and the ability to translate business requirements into technical solutions.

Engineering Manager for Google's Sole Tenancy AI and Compute team, focusing on enterprise cloud adoption and intelligent host management. The role involves leading a team to deliver AI and Infrastructure at scale, supporting Google's AI models and cloud platform.

Customer Engineer for Google Public Sector focusing on national security, partnering with technical sales teams to understand customer needs, develop cloud solutions, and troubleshoot technical issues. This role involves working with Assured Workloads, Google Distributed Cloud, and Cloud AI to ensure secure data processing and analysis for sensitive government data. Responsibilities include building go-to-market solutions, owning technical relationships with partners, providing integration strategy recommendations, and performing work with specialized equipment in Google Distributed Cloud environments. Requires experience with air-gapped deployments, classified systems, and generative AI capabilities, along with a Top Secret/SCI security clearance.

Senior Staff Software Engineer, Front End, Google Workspace. This role focuses on the technical direction and architecture of web and mobile applications for Google Workspace products like Gmail, Docs, and Drive. The engineer will define and drive technical goals for new features, lead design and architecture, provide technical leadership and mentorship, and collaborate with cross-functional teams. While the role is not directly building AI models, it is at the forefront of integrating AI into productivity tools and will work closely with AI model builders.

Staff Software Engineer for Cloud SQL, MySQL, focusing on integrating agentic AI to enhance customer backend management. Responsibilities include architectural design, roadmap contribution, and technical leadership within the MySQL community and Google Cloud Platform.

This role focuses on content design for Google Search's generative AI experiences, shaping conversational response strategies and ensuring high-quality, trustworthy AI responses. The role involves leading content design efforts, defining principles for AI responses, and developing evaluation methods. While it works with AI models, the core craft is content design and product strategy, not direct AI/ML model development.

This role is for a Software Engineering Manager at Google, leading a team that builds internal and external tooling for sales, marketing, and service teams within the Global Business Organization (GBO). The team will architect and develop web applications and services on Google infrastructure, integrating core technologies including Gemini for agentic features. The role involves technical leadership, people management, defining technical goals, and driving strategic execution of a new platform. While AI (Gemini) is mentioned as an integration point, the core focus is on building tooling and applications, not on developing AI models or core AI infrastructure.