Software Engineer III, AI/ML Cloud role at Google, focusing on building and deploying scalable AI/ML platform capabilities for Google Cloud customers. The role involves engineering solutions for LLM serving and tuning, ensuring reliability, performance, and quality, and implementing guardrails and safety gates for the Vertex AI organization. It requires experience in ML infrastructure, model deployment, and potentially speech/audio or reinforcement learning.

Google Cloud is seeking a Software Engineer to work on workload orchestration, specifically implementing a Cognitive Architecture where AI agents act as 'Principal Engineers' to write, validate, and deploy deterministic orchestration code. This role focuses on optimizing infrastructure for GenAI inference and improving resource utilization using AI.

Senior Software Engineer to drive technical strategy and architecture for an open-source AI Agent ecosystem, including the Agent Development Kit (ADK). Focus on building foundational libraries, SDKs, and developer tools to simplify the creation, deployment, and management of production-grade AI agents, enhancing developer velocity, reliability, and scale.

Staff Software Engineer role focused on Vector Search Serving infrastructure for Google Cloud's Vertex AI platform, requiring experience with large-scale distributed systems and GenAI concepts.

Software Engineer III role focused on developing GenAI and Vertex-based development tools, including server and middleware code that interacts with LLMs. The role involves integrating next-generation LLMs with a focus on performance and deployment constraints, working closely with AI researchers and product managers.

Senior Software Engineer role focused on building foundational infrastructure for Generative AI agents within Vertex AI Notebooks, a key platform for enterprise AI.

Develop and enhance software solutions for a conversational AI tool that enables users to collaborate with generative AI, augmenting imagination, curiosity, and productivity. The role involves full-stack development on cloud infrastructure, with a focus on shipping AI-powered products.

Software Engineer III, Backend role at Google, focused on building a next-generation platform for security mechanisms that will enable AI agents to operate in production. The role involves implementing features, writing and testing code, debugging issues, and partnering with other engineers and stakeholders.

Technical Lead for Vector Search Serving infrastructure within Google Cloud's Vertex AI platform, focusing on managing massive datasets and query volumes with low latency. The role involves technical leadership, architecture, code reviews, and mentoring engineers, with a requirement for experience in GenAI techniques.

Seeking an Engineering Manager with an infrastructure technical background to lead a team focused on optimizing planet-scale data processing infrastructure. This platform powers foundational AI/ML features and next-generation AI initiatives, with a focus on advancing scheduleability and auto-tuning for ML pipelines and standard data workloads. The role involves leading research into AI-driven optimization strategies and collaborating with teams working on frontier AI models.

Senior Research Data Scientist role focused on driving AI product success for Android Tablets by owning the end-to-end data science lifecycle, developing inference algorithms, and estimating user lift using ML/statistical approaches and causal inference.

Senior Software Engineer focused on optimizing AI/ML infrastructure performance across the technical stack, from networking and data storage to ML models, to provide AI developers with a high-performance experience on Google's AI infrastructure. Responsibilities include designing and implementing solutions, optimizing performance, profiling, debugging, and developing tools for AI/ML infrastructure.

Software Engineer role focused on implementing and designing Search features, leveraging advanced GenAI capabilities and LLM concepts, with a focus on Kubernetes-based infrastructure for scalability and performance.

This role focuses on leveraging emerging technologies, including machine learning, to build and scale innovative technical solutions for Google's largest advertising clients and partners. The primary responsibility is to adapt and scale existing solutions, automate workflows, and manage the full lifecycle of these scaled solutions to drive customer growth and enhance ad experiences.

Software Engineer III, Flume ML at Google, focused on advancing data processing infrastructure, including schedulability and autotuning. The role involves designing and developing data processing features, utilizing AI tools for development, and working with customers on schedulability tests. Requires experience in software development and large-scale infrastructure.

Field Sales Manager for Google Cloud Startups in CEE, focusing on guiding startups in leveraging Google's AI tech stack for scaling their AI-driven products from prototyping to global deployment. The role involves leading a team of Field Sales Representatives, building relationships with founders and investors, and ensuring startups architect their business on Google Cloud AI services.

This role is for a Technical Lead in Home Infrastructure at Google, focusing on building and managing scalable serving and offline infrastructure for the Health and Home team. The role involves leading a team, ensuring reliability and low-latency performance of distributed systems, and collaborating with cross-functional teams. While the team uses AI technologies like Gemini, the core responsibility is infrastructure engineering, not direct AI/ML model development.

Senior Software Engineer to advance the schedulability and autotuning capabilities of a planet-scale data processing infrastructure product that powers foundational AI/ML features for YouTube and Search, and next-generation AI initiatives. The role involves designing, developing, and maintaining large-scale software solutions, addressing complex technical challenges, and working with mission-critical customers on schedulability challenges.

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.

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.

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 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.

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.

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.

Software Engineer role focused on developing debugging, profiling, and analytics tools for Google Cloud. The role involves working with large-scale systems and exploring the use of machine learning for anomaly detection in cloud control plane systems.

Software Engineer role focused on performance, reliability, and observability tools for Google Cloud. Explores using ML for anomaly detection in control plane systems. Requires a PhD and experience in software development, large-scale infrastructure, and distributed systems. Experience with data analysis, big data, or machine learning is preferred.

Software Engineer role focused on performance, reliability, and observability tools for Google Cloud control plane systems. The role involves analyzing VM performance, developing performance models, designing benchmarks, and exploring the use of machine learning for anomaly detection. While the core is engineering and performance analysis, there's an exploration component involving ML for anomaly detection.

Full Stack Software Engineer III for YouTube Ads, focusing on building UI workflows and front-end functionality for advertiser-facing tools using AngularDart and Java/Kotlin services. The role involves collaboration with product managers, designers, and back-end teams, and identifying methods to attribute success to launches.

Senior Software Engineer role focused on secure web proxy and Kubernetes within Google Cloud. Responsibilities include managing project priorities, designing and implementing complex product changes, mentoring team members, and driving engineering outcomes. Requires experience in software development, large-scale infrastructure, distributed systems, networking, or Kubernetes, with proficiency in languages like C++, Java, or Go.

Software Engineer III at Google, focusing on Discovery and Assessment within Google Cloud. The role involves developing, testing, deploying, and maintaining software solutions, managing project priorities, and contributing to system design and code reviews. While AI/NLP are mentioned as areas of interest for Google's products, this specific role is a general software engineering position with no direct AI/ML model development responsibilities.

This is a Software Engineering Manager II role at Google, focusing on Chrome Agentics and Infrastructure. The role involves technical and people management, defining technical roadmaps, overseeing project execution, and fostering team culture. While the team works in areas including AI/ML, the core responsibilities are centered around engineering management and product delivery within the ChromeOS ecosystem.

Google is seeking Senior Software Engineers for its Cloud infrastructure team. This role involves developing and enhancing large-scale distributed systems, focusing on areas like information retrieval, system design, networking, data storage, security, AI, and NLP. The engineer will write and test code, participate in design reviews, review code from peers, triage and debug issues, and contribute to documentation. Minimum qualifications include a Bachelor's degree, 5 years of programming experience (C++, Java, Go, or Python), 3 years of software testing/maintenance/launch experience, and 3 years of experience with large-scale infrastructure, distributed systems, or networks.

This role is a Technical Solutions Engineer for Google Cloud Databases, focusing on customer support, troubleshooting, and providing technical solutions. It involves understanding Google Cloud products, diagnosing and resolving customer issues, and advocating for customer needs with engineering and product teams. The role requires experience in troubleshooting technical issues and familiarity with various technologies including databases, Big Data, ML, Networking, and Kubernetes.

Software Engineer III role focused on service provisioning for Google Cloud Platform (GCP), specifically working on a v2 API for a platform enabling resource pre-provisioning and orchestration. The role supports products like Gemini Business, Antigravity, and Gemini Code Assist, and is part of a significant effort within the Cloud Foundations organization. Responsibilities include writing code, participating in design reviews, code reviews, contributing to documentation, and triaging/debugging system issues.

Software Engineer III role at Google Cloud focusing on GKE Networking. The role involves managing project priorities, designing, developing, testing, deploying, maintaining, and enhancing software solutions. While the core focus is on networking infrastructure, there's a preferred qualification related to designing AI/ML networking solutions for large-scale model training, GPU communication, and agentic workloads.

Software Engineer III at Google, working on the Dataplex Catalog team in Warsaw, Poland. This role focuses on building the core platform for metadata management, enabling users to discover, search, and understand their data. The project is greenfield and involves building the core platform for Artificial Intelligence (AI) and Data Governance use cases, written in Kotlin.

Senior Software Engineer role focused on improving the performance and cost efficiency of cluster autoscaling in Google Kubernetes Engine (GKE), involving core Kubernetes design and networking features. The role requires extensive experience in software development, distributed systems, and large-scale infrastructure, with engagement in the open-source community.

This role is for a Senior Software Engineer focused on infrastructure cluster management, specifically the Borglet on-machine agent. The engineer will write and test code, participate in design reviews, review code, triage and debug issues, and contribute to documentation. The role requires experience in software development, testing, system design, and large-scale infrastructure or distributed systems.

Google Cloud is seeking a Security Technical Lead for Cluster Management in Warsaw, Poland. This role involves developing next-generation technologies for Google Cloud, focusing on infrastructure, security, and supporting various workloads and hardware. The lead will own functional areas, design secure solutions, develop code in C++, co-lead security projects, and lead the design and build of infrastructure for performance metric detection.

Google is seeking a Software Engineer III, AI Infrastructure Security in Warsaw, Poland, to work on a special project team building a groundbreaking, on-premises AI supercomputer. The role focuses on ensuring security for Alphabet, partners, and customers, developing operating system and hardware security features, and designing security solutions within the broader scope. The position requires software development experience and experience in data privacy or security.

Software Engineer role focused on developing and deploying secure, efficient, and reliable networking solutions for Google Cloud, handling both AI-driven and general-purpose traffic. The role involves working across organizational boundaries, focusing on maintainability and reliability of large-scale distributed systems.

Software Engineer III for the Chrome Web Store Platform and Storefront team, focusing on operational integrity, product excellence, regulatory compliance, and enterprise reliability. The role involves developing product or system code, leading design reviews, reviewing code, contributing to documentation, and triaging/debugging issues. Requires experience in full-stack development and programming languages like Java, Python, Golang, C++, JavaScript, or TypeScript.

Staff Software Engineer for Google Pixel's GPU driver team, focusing on kernel and user-space graphics drivers. Responsibilities include feature development, performance improvements, silicon bring-up, debugging, and defining future software/hardware requirements for Pixel products. The role involves technical leadership, influencing, coaching, and managing engineers, as well as facilitating cross-team alignment. Requires experience with GPU drivers, embedded programming in C, and mobile GPUs.

Software Engineer role on the Google Messages team for Android Wear, focusing on building and optimizing features for wearable devices. Responsibilities include full-stack development, collaboration with product managers and designers, and influencing platform API design. Requires experience in Android development, Kotlin/Java, and large-scale application design.

This role is for a Senior Software Engineer on the Chrome Web Store Platform & Storefront team. The focus is on ensuring the operational integrity, product excellence, regulatory compliance, and enterprise reliability of the Chrome Web Store. Responsibilities include designing, developing, testing, deploying, and maintaining software for the platform, leading technical design, scoping complex problems, and collaborating with cross-functional teams. The role requires experience in software development, testing, maintenance, launching products, and software design/architecture, with a focus on browser development or web standards.

Software Engineer II role at Google's YouTube Ads Infrastructure team, focusing on developing and scaling systems to support business growth. Requires 1 year of software development experience and knowledge of data structures and algorithms.

Software Engineer III role focused on the development and optimization of cluster management software for Google's data centers, impacting scalability and performance of all Google services. Responsibilities include implementing and debugging software components for workload scheduling, developing tools for load measurement and tuning, and designing large-scale systems for reliability and maintainability.