Google

Staff Software Developer for Android XR System Apps at Google, focusing on next-generation UI for XR glasses. The role involves designing, prototyping, building, and launching new user experiences, incorporating emerging technologies like spatial interactions and AI-powered multi-modal conversational interfaces. The team is at the forefront of the convergence of AI and XR, aiming to augment human intelligence with lightweight XR devices and helpful AI.

Partner Engineer for YouTube, focusing on technical partnerships with content creators. The role involves developing product solutions, identifying and applying AI/ML use cases to improve partner operations and internal workflows, and ensuring technical integrity of partner integrations. Requires experience with client-side web technologies, coding, data pipelines, and preferred experience with Generative AI tools.

This role is for a Senior Technical Program Manager focused on AI data, managing complex projects related to data for AI models. The responsibilities include driving program outcomes, optimizing operational processes, developing tracking frameworks, and utilizing data analysis for improvements. The role requires experience with data structures or ML algorithms, and familiarity with AI/ML lifecycles and data labeling.

This role focuses on protecting users from offline scams by using data to provide recommendations and devise solutions. It involves applying AI/ML techniques to optimize human review, identify enforcement gaps, and drive automation opportunities. The role collaborates with engineers to develop algorithms and solve quality issues, analyzing large datasets to build predictive models and influence automated detection systems. Responsibilities include leading investigations into abuse vectors, identifying automation opportunities, and responding to adversarial incidents.

Customer Engineer for Google Cloud's Healthcare and Life Sciences sector, focusing on AI/ML solutions. This role involves partnering with technical sales teams to understand customer challenges, develop cloud solutions, conduct proofs-of-concept, and troubleshoot technical issues. The position requires experience with cloud-native architecture, ML model development and deployment, and customer-facing technical engagement.

Customer Engineer for Google Public Sector, focusing on Federal Healthcare. This role involves partnering with technical sales teams to understand customer needs, develop cloud solutions, conduct proofs-of-concept, and troubleshoot technical issues. The role requires expertise in cloud-native architecture, customer engagement, and experience with building custom Generative AI applications and migrating systems to the cloud. It is a customer-facing role with a focus on driving digital transformation for government institutions.

Customer Engineering role focused on architecting and selling Google Cloud AI solutions, including Gemini and Vertex AI, to enterprise clients. The role involves translating business needs into technical roadmaps, leading technical selling strategies, and driving product expansion by leveraging Google's AI stack.

Software Engineer role focused on developing and maintaining the Gemini Enterprise mobile application (iOS and Android) and its backend systems. The role involves contributing to all phases of the SDLC, driving innovation, and leveraging AI to enhance performance. While the product is AI-related (Gemini), the core craft of the role is mobile and backend engineering, not direct AI/ML model development.

This role focuses on the engineering and manufacturing aspects of machine learning accelerators, specifically custom silicon solutions like TPUs. While it supports AI/ML capacity deployment and the development of ML systems, the core craft is in hardware engineering, supply chain, and manufacturing operations, not direct AI/ML model development or research. The role involves leading technology assessment, collaborating on product design and manufacturing risks, validating qualification plans, and supporting pre-production builds to ensure product quality and reliability at scale.

Software Engineer III role focused on enhancing Vertex AI Notebooks (Workbench, Colab Enterprise) and building foundational infrastructure for Generative AI agents. The role involves full-stack development, collaborating with cross-functional teams, and working with languages like Java, Golang, Typescript, or Python, with a background in cloud computing, distributed systems, or microservices. The team also works on research topics to maximize scientific and real-world impact in AI.

This role is for a Senior Technical Program Manager focused on ML Infrastructure Acceleration at Google. The individual will manage one of the world's largest Machine Learning fleets in the era of AI, ML, and Agents. Responsibilities include managing supply projections for GPU or TPU portfolios, communicating supply status and risks, evaluating acceleration options, and publishing system and tooling requirements to drive automation. The role requires strong program management skills, cross-functional collaboration, and executive-level communication, with a focus on scaling AI and infrastructure capabilities.

This role is a Technical Program Manager focused on the operational aspects of machine learning infrastructure within Google's data centers, specifically concerning capacity planning, server floor deployment, and supply chain management. While the role deals with ML infrastructure, the core responsibilities are in program management, logistics, and operations rather than direct AI/ML model development or research.

Senior Software Engineer on Chrome Identity team, focusing on Android mobile platforms. This role involves technical leadership, design, implementation, and launch of features used by billions of users. The engineer will also utilize AI tools to expedite software development practices and has experience with LLMs, NLP, or Generative AI.

This role is for a Software Engineering Manager leading the Continuous Integration and Release (CI&R) team within the Git ecosystem at Google. The team is responsible for CI/CD and artifact management infrastructure, aiming to transform how Google engineers develop software. The manager will set strategy, lead a team, and drive technical direction, with a focus on CI/CD, Git, software supply chain security, and infusing AI/ML to enhance developer velocity and product quality.

Director of Customer Engineering for AI Infrastructure in APAC, leading a team to drive adoption of Google Cloud's AI technology and infrastructure (GPUs, TPUs) by supporting sales, working with customers, and collaborating with product management. The role involves developing strategies, presenting value propositions, identifying industry trends, and ensuring the technical and commercial competitiveness of Google Cloud AI products.

Software Engineer III, ML Networking at Google, focusing on building and optimizing the infrastructure for scaling Large Language Models (LLMs) and other Machine Learning (ML) workloads on GPUs. The role involves analyzing and resolving networking issues, optimizing performance for ML workloads, and contributing to the full stack optimization of ML networking on Google's infrastructure.

This role is for a Staff Software Engineer on the Borglet Infrastructure team within Google Cloud's ML, Systems, & Cloud AI (MSCA) organization. The team develops core pieces of Borglet, Google's node agent for managing user processes, focusing on ML/AI Infrastructure (GPU/TPUs in Borg), Security, Capacity Fungibility, and Warp Space. The role involves designing, implementing, and analyzing computer systems and their interactions with kernel and hardware, collaborating with partner teams, solving ambiguous problems, developing junior engineers, and strategic planning. While the role is within an AI-focused organization and deals with AI infrastructure, the core responsibility is building and managing the underlying infrastructure (Borglet) rather than directly developing or shipping AI models themselves. The role emphasizes large-scale infrastructure and distributed systems.

This role focuses on building and maintaining anti-abuse protections for messaging products, analyzing trends, and implementing solutions to ensure user safety. It involves working with cross-functional teams, productionizing ML models, and advising on counter-abuse strategies.

Software Tech Lead for Google Photos, focusing on client-side, server-side, and machine intelligence aspects. The role involves building and shipping AI-powered features, particularly those leveraging Generative AI and LLMs, within a large-scale consumer product.

Staff Software Engineer role focused on building and scaling compute infrastructure solutions for Google Cloud, specifically for AI/ML workloads, virtual machines, and bare metal solutions. The role involves innovating in virtualized storage, networking, and workload management to ensure the availability, reliability, and performance of infrastructure powering VM instances.

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.

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.

Data Engineer role focused on building and maintaining data pipelines for Google Maps, processing third-party data to develop insights and support product development. Requires experience with geographical data, ML/AI concepts, and programming languages.

This role focuses on the integration of Mixed Signal IP for AI/ML hardware acceleration, specifically TPUs. The engineer will drive IP selection, planning, integration, and validation across the silicon lifecycle, working with cross-functional teams to ensure the performance and power efficiency of these accelerators.

Manage and lead a team of TFM engineers responsible for the physical design flows that power Google's Tensor Processing Unit (TPU) products. This role involves guiding the development, deployment, and support of RTL-to-GDS infrastructure, bridging design engineering and EDA capabilities, and managing priorities to ensure silicon delivery for AI/ML hardware acceleration.

Software engineer role focused on data analytics within Google.org, involving system design, technical solutions implementation, testing, and AI strategy evaluation (e.g., prompt engineering) to improve team velocity. Requires 5 years of software development experience and SQL.

This Technical Program Manager role focuses on leading complex, multi-disciplinary projects for Google's Data Center teams, involving data ingestion, visualizations, data warehouse infrastructure, data models, and advanced analytics leveraging ML/AI. The role requires planning requirements, managing schedules, identifying risks, and communicating with cross-functional partners. While the role utilizes ML/AI for advanced analytics and predictive modeling, its core function is program management and data engineering rather than direct AI/ML model development or research.

This role focuses on modernizing compliance operations within Google Public Sector by leveraging generative AI. The Compliance Analyst will design and implement AI-driven solutions to automate workflows, streamline compliance analysis, and transform governance processes. Key responsibilities include accelerating the generation of Authorization to Operate (ATO) artifacts, enabling real-time compliance monitoring, and managing accreditation efforts. The role requires experience with Google-native AI, scripting, and automation tools, as well as a strong understanding of compliance and risk management in a regulated environment.

Software Engineer role focused on building and launching high-quality features for large applications, specifically within Google Cloud's database observability service. The role involves full-stack development, partnering with product and design teams, and influencing product direction. While the product offers AI-driven experiences and the role involves integrating AI technologies, the core craft is not AI/ML model development.

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.

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.

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.

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.

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.

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.

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 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.