Google

Staff Software Engineer for Google Cloud's AI/ML Infrastructure team, focusing on building and operating a multi-tenant ML-as-a-service platform to enable Google product teams to build and launch GenAI-powered products. The role involves simplifying AI workflows, collaborating across front-end, infrastructure, and modeling expertise, and democratizing AI techniques.

Staff Software Engineer role focused on integrating and optimizing AI/ML services and models onto Google Distributed Cloud (GDC) platforms, including disconnected and air-gapped environments. Requires significant experience in software development, ML design, and ML infrastructure, with a focus on deployment and evaluation.

Software Engineer III role focused on building AI-driven risk management solutions for Google Payments, leveraging Generative AI and Machine Learning to combat online payment fraud. The role involves developing and implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation and optimization to reduce losses and improve fraud detection speed.

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.

Software Engineer role focused on building and leveraging AI, specifically agentic workflows and multi-agent systems, to automate the large-scale migration of C/C++ code to Rust. The role involves designing evaluation strategies for AI-generated code, optimizing the output, and collaborating with AI and programming language teams.

Senior Software Engineer role focused on AI/ML within Google Cloud AI. The role involves designing and implementing solutions in specialized ML areas, leveraging ML infrastructure, and contributing to product/system development. Key areas include speech/audio, reinforcement learning, ML infrastructure, model deployment, evaluation, optimization, data processing, and debugging.

Senior Software Engineer focused on performance and infrastructure for AI at Google. This role involves developing and optimizing systems that support AI models at scale, ensuring efficiency, reliability, and velocity. The engineer will write and test code, participate in design reviews, review code from others, contribute to documentation, and triage/debug system issues. The role requires experience in C++ or Python, performance analysis, and large-scale systems, with a focus on the infrastructure that powers AI and Google's product portfolio.

Software Engineer III on the AI and Infrastructure team at Google Cloud, focusing on delivering AI and Infrastructure at scale. Responsibilities include writing product/system code, collaborating on design/code reviews, contributing to documentation, triaging/debugging issues, and implementing solutions in specialized ML areas, utilizing ML infrastructure, and contributing to model optimization and data processing.

Product Manager for Omni-Channel Gateway, focusing on generative AI customer experiences and agentic orchestration. The role involves defining product strategy, forging partnerships, and guiding high-throughput backend systems from ideation to enterprise scale, with a focus on integrating human agents, virtual agents, and enterprise systems.

This role involves driving the end-to-end development of cloud-based communication system integrations for AI agents, focusing on connecting next-generation AI agents to users across chat and voice surfaces. The position is within the Cloud Applied AI (AAI) team, working on enterprise products powered by Gemini Enterprise, with an emphasis on building solutions that deliver new 0-to-1 capabilities with startup agility and collaborating directly with model builders.

This role focuses on building and evaluating ML models for business growth, specifically using causal inference and deep learning techniques. The responsibilities include designing, developing, and validating causal inference models, partnering on A/B tests, prototyping new methods, communicating technical findings to executives, and establishing monitoring systems for deployed models. The role aims to integrate ML models into production serving systems and ensure their ongoing accuracy.

This role focuses on defining and delivering high-quality audio experiences across Google's Pixel ecosystem, integrating AI/ML technologies like LLMs, NLP, ASR, and TTS into consumer electronic devices. The engineer will lead system audio architecture, execute experiments, translate concepts into technical specifications, and drive solutions across hardware and software boundaries, collaborating with cross-functional teams and integrating research into products.

Senior Software Engineer on the Pomelli team, responsible for building high-performance web interfaces and prototyping advanced AI features for a marketing platform for small businesses. The role involves taking broad concepts and turning them into functional products, making critical architectural choices, and working at the intersection of web design and AI. The team is part of Google Labs, focused on incubating early-stage efforts.

Research Data Scientist for Chrome, focusing on integrating GenAI to create a more helpful and adaptive agent, personalize user experiences, and drive data-informed innovation using advanced statistical and ML techniques, predictive modeling, and experimentation.

This role focuses on designing and developing metrics and measurements for Trust and Safety across various Google products. The Senior Business Data Scientist will leverage Google's production data infrastructure and AI-based content rating systems to drive business optimization and meet regulatory reporting requirements. Responsibilities include leading statistical design, implementing data pipelines, and collaborating with engineering and business stakeholders to make data-backed decisions.

This role is for a Senior Security Engineering Manager to lead a new team in Singapore focused on securing Alphabet's enterprise systems and data in the context of AI adoption. The team will develop novel approaches and use AI-motivated automation to manage AI enterprise security risks and enable safe enterprise use of AI, particularly agentic AI workflows.

Senior Data Scientist role focused on metrics research, advanced analytics, and user journey insights for Google's commercial search verticals. The role involves applying advanced modeling techniques like LLMs and Gemini models, conducting Human Evaluations, and designing research based on user survey data. Key responsibilities include metric development, product performance investigation, experiment design, and user journey analysis, with a focus on Search AI Mode experiences and Agentic Search.

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

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.

Engineering Manager for Woodshed, a core AI/ML infrastructure team at Google, focusing on distributed systems for machine learning, dataset lakehouse management (Canon), and supporting multimodal model training for various Google product areas like Gemini and GenMedia. The role involves managing a team, contributing to product strategy, and building next-generation AI/ML systems.

Staff SWE role focused on architecting and owning the accuracy and fidelity of a critical co-design simulation platform for next-generation ML accelerators. The role involves establishing correlation infrastructure between simulated and physical hardware, evolving the simulation layer for complex workloads like LLMs, and identifying system-level bottlenecks at the pre-silicon stage to provide performance estimates for future ML systems.

Product leader for Google Labs focused on incubating 0-1 AI products, identifying whitespace opportunities, and navigating ambiguity to achieve product-market fit. Requires experience building AI-native consumer or creative products from conception to launch.

Customer Engineer focused on AI infrastructure modernization using Google Cloud's TPU/GPU accelerators. The role involves guiding customers on architecture, deployment, and optimization of large-scale training and inference jobs, working with AI/ML accelerators, and supporting sales teams in piloting and deploying these solutions.

Staff Software Engineer at Google Cloud, focusing on AI/ML for Identity and Access Management infrastructure. The role involves architecting and implementing agentic authorization solutions, leading the integration of AI/ML into IAM, and driving the technical vision for scalable infrastructure systems. This includes building a platform for customers to deploy multi-agent ecosystems and connect LLMs securely within GCP. The position also involves technical leadership, mentoring engineers, and ensuring system operational health.

Senior Software Developer role focused on Computer Vision and XR at Google. The role involves developing and deploying geometric sensing capabilities for XR products, enabling features like 3D reconstruction and scene understanding. It requires experience with ML infrastructure, computer vision systems, and Augmented Reality. The position contributes to the convergence of AI and XR to create augmented human intelligence experiences.

Quantitative UX Researcher focused on user behavior and product quality/trust within Google Search, leveraging empirical methods and collaborating with engineering and product teams. The role involves analyzing user data, influencing stakeholders, and driving product improvements, with a requirement for experience in shipping ML, NLP, or LLM-powered products.

Senior Software Engineering Manager for Google's XR Platform, focusing on AI-powered interfaces and agentic systems. This role involves technical leadership, team management, and defining roadmaps for next-generation XR experiences that converge AI and XR technologies.

This role is for a Senior Data Cloud Blackbelt Manager at Google, focused on incubating and accelerating the adoption of Google's data cloud and AI capabilities for enterprise customers. The manager will lead a team in building and deploying sophisticated AI agents, acting as a technical counterpart to customer executives and influencing product roadmaps.

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.

This role manages a team of engineering analysts focused on building AI systems for account and device integrity, threat detection, and automation. The primary focus is on developing and deploying AI agents and foundational models to automate operational tasks and improve security defenses. The role involves cross-functional collaboration and influencing stakeholders.

Director of Product Management for Safety & Privacy for the Gemini App, focusing on building trustworthy and secure generative AI products. The role involves leading a team to develop safeguards against AI risks, design privacy controls, and ensure data governance, while meeting global regulatory standards. Requires technical understanding, regulatory awareness, and leadership.

Software Engineer III role within Google Ads focusing on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires experience in programming (Python/C++) and ML infrastructure, with a specialization in areas like speech/audio, reinforcement learning, or other ML fields.

Staff Software Engineer for Gemini Live, a multi-modal AI assistant focused on user interaction, productivity, and learning experiences. The role involves defining and driving front-end architecture, engineering multi-modal experiences, developing non-verbal communication systems for low-latency responses, and partnering with GenAI/Model teams to integrate advanced capabilities and establish quality metrics.

Software Engineer III role focused on building and maintaining evaluation pipelines, safety classifiers, and automated testing systems for AI skills within the Chrome product. This involves designing and implementing metrics, visualization tools, and auto-raters to ensure the quality, safety, and performance of AI workflows, with a focus on integrating with various AI models and browser surfaces.

Staff Software Engineer at Google Cloud focused on building an organization-wide fleet health platform for databases. This platform leverages LLMs and AI to provide actionable insights, unified management, and a conversational agent for customers to pinpoint and resolve issues in their database fleet. The role involves designing and building centralized fleet management systems, partnering with product and engineering teams, and improving the operational health of these systems.

Senior Software Engineer role focused on building and shipping Gemini applications on Android, translating AI capabilities into user-friendly mobile experiences. This involves architecting scalable mobile systems, developing server-side logic, and owning CoreUI libraries for new model capabilities.

Senior Software Engineer role focused on building and operating Generative AI products for the public sector, involving data synthesis, retrieval applications, ML inference optimization, and ML infrastructure management.

Engineering Manager for AI/ML networking safety solutions, focusing on leading a team to develop and deploy these solutions into production. The role involves managing project priorities, team development, and cross-functional collaboration within Google's AI and Infrastructure team.

Senior Software Engineer role focused on developing firmware and software for Google's custom AI accelerators (TPUs). The role involves designing and building low-level C++ code for embedded micro-controllers on ASICs, co-designing hardware/software interfaces, developing tools for ASIC bring-up and debugging, building simulators, and architecting telemetry systems for monitoring TPUs. This position is crucial for enabling the development and scaling of AI models and infrastructure at Google.

Software Engineering Manager responsible for leading a team that develops system software and networking technologies for GPU-based AI/ML supercomputers in Google's data centers. This includes managing engineers, defining technical roadmaps, and overseeing the integration, testing, deployment, and debugging of system software for accelerator products.

This role focuses on ensuring the safe launch of Generative AI models, acting as a key advisor and strategist for cross-functional teams. It involves anticipating risks, designing testing strategies, analyzing results, and driving mitigation and post-launch monitoring, with a specific emphasis on Text Models, Model Personalization, Model Governance, and Health/Mental Health.

This role involves consulting with enterprise clients to develop, deploy, and manage custom AI/ML solutions on Google Cloud Platform. The consultant will provide technical project management, solution architecture, and best practice guidance, working closely with clients, partners, and internal Google teams to ensure successful implementation and adoption of AI technologies.

Software Engineering Manager II for the Deep Research team within the Agentic Validation organization, focusing on building agentic AI solutions to improve coding agents. The role involves technical leadership, people management, and driving projects related to codebase intent extraction, exploratory testing, and agentic validation.

Software Engineer role focused on applying AI/ML to optimize the fault tolerance and reliability of Google's global data center fleet, including ML TPUs. The role involves designing and implementing ML models for fault prediction and mitigation, analyzing large-scale telemetry data, and building scalable automated systems. It requires experience in ML infrastructure, model deployment, and data processing, with a focus on improving the reliability of AI/ML systems and traditional compute infrastructure.

Senior Software Engineer role focused on Generative AI within Google Ads, specifically on Ads Safety. The role involves developing and testing product/system code, participating in design reviews, and reviewing code. Requires experience with ML infrastructure, state-of-the-art GenAI techniques (LLMs, Multi-Modal, Large Vision Models), and GenAI-related concepts. Preferred qualifications include experience with Generative AI Agents and applied ML.

This role focuses on designing, developing, and implementing AI-powered agents and automation solutions to enhance efficiency in marketing and ads marketing analytics. The data scientist will leverage machine learning and advanced analytical methods to build analysis pipelines and agentic systems, measure their impact, and communicate insights to stakeholders to drive business growth and optimize marketing campaigns.

Image Processing Engineer role focused on optimizing image quality by fine-tuning algorithms and building ML-powered tools for tuning, testing, and calibration workflows. Requires experience in image quality, computer vision, Python, and C++.

Senior AI System Engineer role focused on influencing Tensor SoC architecture for AI/ML workloads on Pixel devices. This involves cross-functional collaboration with SW/HW architects and research teams to optimize for Power, Performance, and Area (PPA) trade-offs, enabling advanced Generative AI experiences. The role requires a data-driven approach using profiling, simulation, and modeling to define future SoC architectures and system design documentation.