Senior Software Engineer to architect next-generation AI-native agentic systems for eliminating developer toil. Focus on defining paradigms for self-sustaining AI to resolve engineering issues, establishing AI engineering excellence and security-by-design, and scaling technical capabilities. Responsibilities include leading design of multi-agent networks, defining best practices blending distributed systems with LLM orchestration and RAG, establishing AI quality/safety strategy with automated evaluation, managing edge cases with advanced telemetry, and driving technical alignment and mentorship.

Senior Staff Software Engineer role focused on designing, developing, and deploying large-scale AI solutions, with a specific emphasis on language models and agentic systems. The role involves technical leadership, ML infrastructure optimization, and applying the latest AI technologies to create impactful products. Requires extensive experience in software development, ML design, and industry ML infrastructure.

Staff Software Engineer role focused on leading the technical strategy, architecture, and delivery of a new agentic video creation application for YouTube Ads. The role involves developing multi-modal agentic systems using Generative AI to produce high-fidelity video creatives at scale, adapting frontier AI capabilities to the Ads domain, and designing scalable APIs and microservices. This position bridges frontier AI with business impact and requires experience in leading applied AI/ML products and shipping AI applications.

Staff Software Engineer at Google DeepMind on the Gemini App Personalization team, focused on building a next-generation AI assistant that deeply personalizes products for users. The role involves designing and building scalable features for capturing, organizing, and surfacing personal context, performing data analysis, developing evaluation techniques for contextual recall, owning model output quality, and contributing to a data flywheel. The position requires significant software development experience, particularly with big data, ML, LLMs, and data analysis, with a focus on creating a seamless cognitive extension for users.

Staff Software Engineer, Applied Research, Foundation User Models at Google. This role focuses on defining and executing the applied research roadmap for Large User Models, translating business goals into technical formulations, optimizing model performance with adaptation techniques, driving architectural improvements by influencing pre-training teams, and productionizing fine-tuning pipelines for recommendation engines. The role requires experience with Transformer-based models and ML design, with a focus on balancing quality output with strict inference latency requirements.

Staff Software Engineer focused on the User AI Flywheel for Google Search, aiming to enhance LLM performance, quality, and capabilities through user signals and advanced modeling techniques. The role involves innovating on LLM improvements, partnering with research teams, and integrating LLM technologies into products. Responsibilities include advocating for modeling/tuning/optimization, designing user signal-driven improvements, collaborating with research, and demonstrating expertise in system design, ML modeling, and coding for LLMs. The role requires experience in software development, ML design, ML infrastructure optimization, and GenAI techniques, with preferred experience in RLHF, fine-tuning, and ML systems production.

Staff Datacloud Blackbelt Engineer role focused on building and deploying sophisticated Data and AI agents and solutions for enterprise customers, leveraging Google's AI technologies. The role involves architecting, optimizing inference latency, and transforming bespoke solutions into reusable assets, acting as a technical lead and mentor.

Forward Deployed Engineer (FDE) role focused on building and deploying generative AI agentic solutions for Google Cloud customers in the telecommunications sector. This role involves coding, debugging, and integrating AI products into customer environments, managing integration complexities, and providing feedback to product teams. It requires a blend of engineering, customer engagement, and problem-solving skills to deliver bespoke AI applications and reusable assets.

Staff Software Engineer focused on leveraging AI/ML, including LLMs and Agentic AI, to enhance search ads experiences, optimize ad performance, and build AI-first systems. The role involves designing, developing, and deploying AI/ML models and evaluation methods for data quality assessment within the Google Ads product.

Forward Deployed Engineer IV, Applied AI, Google Cloud. This role focuses on transforming conversational AI prototypes into production-ready solutions for customers, owning the end-to-end engineering lifecycle. Responsibilities include architecting and coding conversational flows, building evaluation pipelines and observability frameworks for agentic workloads, and ensuring best practices for customer projects. Requires experience with AI systems on cloud platforms, deploying conversational agents, and full-stack application development interacting with enterprise IT.

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.

Google is seeking a Forward Deployed Engineer for the DevAI team to accelerate its transformation into an AI-native company. This role involves partnering with Product Areas to build and elevate AI capabilities, focusing on the technical foundation of Google's flagship products. The engineer will lead the design and implementation of autonomous, agentic workflows, deliver production-grade agent components, and re-engineer isolated solutions into scalable capabilities.

This role involves leading a team of developers to build and deploy agentic AI solutions within customer environments on Google Cloud. The focus is on bridging the gap between AI products and production realities, solving integration and data issues, and acting as a feedback loop for product development. The role requires coding, debugging, and shipping solutions, with responsibilities including building evaluation pipelines and observability frameworks.

Senior Research Engineer focused on optimizing Gemini Robotics models for low-latency on-device inference, driving alignment between model architectures and edge device constraints, and influencing research and engineering teams for robust solutions. Requires deep knowledge of inference techniques across GPU, TPU, and CPU architectures.

Technical Program Manager at Google DeepMind focused on driving the execution of agentic capabilities from research to production, specifically for Gemini and other Google products. This role involves managing the lifecycle of agentic innovations, building pathways between research and product teams, and understanding the AI model development lifecycle.

Senior Forward Deployed Developer focused on applying Google's Generative AI, specifically building and deploying AI agents on the Customer Engagement Suite platform for enterprise clients. The role involves direct customer interaction, co-development, debugging, and optimizing AI solutions, acting as a bridge between product teams and customer needs to accelerate customer success and influence product strategy.

Senior Machine Learning Engineer focused on building and optimizing generative AI solutions for Google Cloud customers. This role involves working across the full stack of AI, from models and APIs to agent building blocks and specialized applications, with a strong emphasis on production environments and technical leadership.

This role focuses on defining and driving the power architecture roadmap for Google's next-generation TPUs, which are AI/ML hardware accelerators. The architect will bridge the gap between high-level concepts and silicon execution, optimizing for performance-per-watt for ML workloads and ensuring successful implementation of power management features. This involves collaboration with various teams, including SOC implementation, hardware/software validation, and data center operations, to align silicon capabilities with system-level power constraints. The role requires deep expertise in computer chip design, performance analysis, and power analysis, with a strong emphasis on machine learning accelerator architecture and workload characterization for power optimization.

Staff Software Engineer on the Gemini App Personalization team, building next-generation personal AI assistants using Gemini models. Responsibilities include developing personalization capabilities, model post-training, evaluation, data handling, serving, and production deployment. Also involves creating systems for agent testing, developing test problems, visualizing results, building leaderboards, and testing algorithms on robots.

Software Engineer role at Google DeepMind focused on building and testing AI agents. Responsibilities include developing agent testing systems, creating test problems in simulators, visualizing results, building leaderboards, and testing algorithms on robots. The role involves working on both frontend and backend infrastructure for AI tools, improving LLMs, and integrating AI into Google products. Requires strong software engineering skills and experience with Generative AI Agents.

Forward Deployed Engineer for Generative AI in the Media & Entertainment sector on Google Cloud. This role involves building, debugging, and shipping bespoke agentic solutions directly within customer environments, bridging the gap between frontier AI products and production reality. Responsibilities include developing complex AI applications, architecting integrations, building evaluation pipelines, and providing feedback to product teams. Requires experience in production-grade AI solutions, cloud platforms, data pipelines with vector databases and RAG, and leading technical discovery.

Forward Deployed Engineer for Google Cloud's Generative AI Go-To-Market organization, focusing on building and deploying end-to-end GenAI solutions for customers. This role involves rapid prototyping, integrating AI/ML with the broader cloud stack, and translating customer needs into scalable assets.

Senior Software Engineering Manager for Emergent AI Infrastructure, leading teams to build next-generation on-prem AI infrastructure for frontier models and AI solutions. Role involves technical leadership, team management, strategic guidance, and cross-functional collaboration across global sites to deliver high-impact AI infrastructure products.

Forward Deployed Engineer for Google Cloud, focused on building and deploying bespoke agentic AI solutions within customer environments. This role involves managing the full lifecycle from prototyping to production, including integration, data readiness, state management, and evaluation.

Google Cloud is seeking an AI Forward Deployed Engineer to act as an embedded builder, bridging frontier AI products with production-grade reality for customers. This role involves coding, debugging, and shipping bespoke agentic solutions within customer environments, managing integration complexities, data readiness, and state-management challenges. The engineer will also deploy complex AI systems, provide feedback to the product roadmap, and co-build with customer teams to instill best practices.

Staff Software Engineer role focused on developing and optimizing on-device and hybrid multimodal AI models (LLMs, agents, vision, audio) for XR devices. Responsibilities include leading development, creating evaluation plans, implementing innovations in agent architectures and multimodality, rapid prototyping, and collaborating with research and product teams. Requires strong software development experience with C++, Python, and Generative AI, along with ML/AI experience.

Staff Research Engineer focused on Gemini Audio at DeepMind, developing multimodal models (audio/audio-visual) and driving end-to-end development from pretraining to production systems, utilizing RL frameworks for training infrastructure and model training.

Staff Software Developer on the GAWSS team responsible for building and implementing AI/ML-based safety and security mitigations for Google Workspace products. This includes developing LLM-based auto-raters, classifiers for prompt injection attacks, and live traffic observability solutions. The role involves collaboration with Google DeepMind on research and with various product teams to protect AI features across Workspace applications.

Forward Deployed Engineer for Google Cloud's Gen AI offerings, focusing on integrating and productionizing AI systems (especially agentic workflows) for enterprise customers. This role involves managing integration complexities, data readiness, and state management, acting as a bridge between frontier AI and production reality, and providing feedback to the product roadmap.

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.

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.

Senior Staff Research Engineer at Google DeepMind focused on Agent Evals and Quality for GenAI model improvement and product development. The role involves developing, evaluating, and optimizing LLM-based agents for complex, multi-step tasks. Responsibilities include constructing quantitative benchmarks and automated evaluation frameworks (e.g., LLM-as-a-judge) to measure agent capabilities in reasoning, planning, and tool use, as well as creating and optimizing data mixes from user feedback for training and fine-tuning agents. The role also requires analyzing agent behavior to identify failure modes and performance bottlenecks.

This role involves leading the development and deployment of bespoke agentic AI solutions within customer environments on Google Cloud. The developer will bridge the gap between frontier AI products and production reality, focusing on integration, data readiness, and state management. Responsibilities include coding agentic workflows, building evaluation pipelines and observability frameworks, and acting as a feedback loop for product development. The role requires significant experience in shipping production-grade AI solutions and developing AI systems on cloud platforms.

Staff Software Engineer at Google Cloud AI Research focused on designing, developing, and deploying GenAI solutions. This role involves leading the design of GenAI solutions, optimizing ML infrastructure, and guiding the development of data preparation and model optimization strategies. Requires significant experience in software development, ML infrastructure optimization, and state-of-the-art GenAI techniques.

Forward Deployed Engineer IV, GenAI, Google Cloud. This role involves building and deploying bespoke agentic AI solutions within customer environments, bridging the gap between frontier AI products and production-grade reality. Responsibilities include leading the discovery-to-deployment journey, architecting and coding connective tissue between AI products and customer infrastructure, engineering production excellence with evaluation pipelines and observability, and acting as a product catalyst by identifying field patterns and friction points. The role requires shipping production-grade AI-driven solutions, designing and building AI systems on cloud platforms, and leading technical discovery sessions.

This role involves leading the development and deployment of AI applications, specifically agentic solutions, within customer environments on Google Cloud. The engineer will bridge the gap between AI products and production systems, focusing on integration, data readiness, and state management. Responsibilities include architecting and coding connective tissue, building evaluation pipelines and observability frameworks, and acting as a feedback loop for product development. The role requires significant experience in shipping production-grade AI solutions and Python, with a preference for experience in multi-agent systems and LLM-native metrics.

This role involves building and deploying production-grade generative AI agentic solutions within customer environments on Google Cloud. It focuses on integrating Google's AI products with customer infrastructure, developing evaluation pipelines, and providing feedback to product teams. The role requires experience in applied AI, building systems around pre-trained models, and cloud platform deployment.

Google Cloud is seeking a Generative AI Forward Deployed Engineer to build and deploy agentic AI solutions within customer environments. This role involves transitioning prototypes to production, integrating AI products with customer infrastructure, building evaluation and observability pipelines, and providing feedback to product teams. Requires experience in building production-grade AI solutions, applied AI with a focus on systems around pretrained models (prompt engineering, fine-tuning, RAG, tool orchestration), and cloud platform deployment.

Senior Staff Software Engineer focused on building and delivering ML frameworks for training large language models (LLMs) and stable diffusion models for Google Cloud customers. The role involves designing and implementing AI frameworks software for various ML workloads, identifying and resolving software and performance issues, and collaborating with cross-functional teams. Requires extensive experience in software development, ML design, ML infrastructure, and leading technical projects, with a focus on training ML models at scale.

Staff Software Engineer role focused on architecting and implementing Agentic Reinforcement Learning systems. This involves developing novel RL recipes, reward modeling, and synthetic data for reasoning, planning, and tool use in large-scale AI products. The role bridges frontier research with production, focusing on the "GenAI Engineering Gap" to create self-improving agentic systems.

Staff Software Developer role focused on developing and deploying agentic AI solutions for enterprise use cases. The role involves inventing, designing, and deploying systems with a focus on algorithmic innovations for sophisticated agentic AI, including multi-agent systems, reinforcement learning, multimodal reasoning, and enhancing LLM reliability and tool use. The position also involves managing and iterating on new platform capabilities and driving technical strategy for a conversational AI platform.

Staff Software Engineer focused on optimizing AI/ML training and serving workloads on TPUs. This role involves identifying performance bottlenecks, driving optimizations through custom kernels, compiler/runtime improvements, and collaborating with partner teams to achieve state-of-the-art performance for foundation model builders and hyperscalers. The position also involves algorithmic innovation and co-designing TPU-friendly models.

Senior Software Engineering Manager for Google Cloud AI, focusing on GenAI. This role involves leading teams of engineers, setting technical vision and roadmap, overseeing system designs, and driving the strategy for large-scale ML infrastructure optimization and state-of-the-art GenAI solutions. The team addresses AI challenges for various industries, aiming to push AI's state-of-the-art and collaborate with product teams.

Forward Deployed Engineer IV, GenAI, Google Cloud. This role involves building and deploying bespoke agentic AI solutions within customer environments, bridging the gap between frontier AI products and production-grade reality. Responsibilities include leading the discovery-to-deployment journey, architecting and coding connective tissue between AI products and customer infrastructure, engineering production excellence with evaluation pipelines and observability, acting as a product catalyst, and driving regional leadership. Requires 8 years of experience shipping production-grade AI-driven solutions, Python, and cloud AI architecture.

Forward Deployed Engineer building and shipping bespoke agentic AI solutions within customer environments, focusing on integration, data readiness, and state management. The role involves coding, debugging, and co-building with customer teams, acting as a feedback loop to product roadmaps.

Senior Staff Software Engineer role focused on GenAI solutions within Google Cloud Applications AI. The role involves designing, developing, and deploying large-scale AI/ML solutions, leading technical strategy, and overseeing the implementation of state-of-the-art GenAI, with a focus on bringing AI innovations to various industries.

Senior Staff Software Engineer role at Google Cloud AI Research focusing on designing, developing, and deploying state-of-the-art GenAI solutions for various industries. The role involves technical leadership, ML infrastructure optimization, and driving technical project strategy for high-impact projects, with a focus on shipping AI products to customers.

Senior Staff Software Developer role focused on developing and deploying GenAI solutions within Google Workspace, impacting billions of users. The role involves technical leadership, ML infrastructure optimization, and driving the strategy for state-of-the-art GenAI applications.