Senior Software Engineer, Cloud GenAI Infrastructure, Vertex AI, Model Efficiency

🏢 Summary: Technical role focused on building AI-driven financial experiences by integrating third-party tools and agent workflows into an AIX orchestration layer. The position develops scalable, low-latency Generative UI capabilities and personalized financial insights using user signals, while leading architecture and delivery from discovery through production. 🗂️ Requirements: Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience, 5 years of software development experience, Experience with C++, Java, Kotlin, Python, or another general-purpose programming language, Experience developing, prompt-tuning, fine-tuning, or orchestrating LLM and generative AI systems, Experience with algorithms, Experience architecting backend or infrastructure systems 📃 Skills: C++, Java, Kotlin, Python, LLMs, AI, Algorithms, Backend, Infrastructure, MCP, MaRS, Agency, GenUI 🏢 Description: Minimum qualifications: • Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. • 5 years of software development experience in one or more general-purpose programming languages (e.g., C++, Java, Kotlin, Python). • Experience developing with, prompt-tuning, fine-tuning, or orchestrating Large Language Models (LLMs) and generative AI systems. • Experience with algorithms and architecting backend or infrastructure systems. Preferred qualifications: • Experience with tool execution pipelines, agentic workflows, function calling, or Model Context Protocol (MCP) integration. • Experience working with Generative UI pipelines, adaptive design architectures, or dynamic component rendering systems. • Familiarity with Google Search Next infrastructure, specifically MaRS, Agency, and GenUI ecosystem components. • High interest in personal finance, market intelligence, fintech, or complex transactional domains where high precision and factuality are paramount. Responsibilities: • Lead technical execution for connecting external third-party tools and partner agents into an AIX orchestration layer utilizing the Model Context Protocol (MCP). • Build scalable, low-latency Generative UI capabilities on top of Core Search Next platforms, including MaRS, Agency, and the GenUI framework, to transform raw financial output into actionable, interactive user experiences. • Integrate Zero-Party (0P), First-Party (1P), and Third-Party (3P) user signals to deliver tailor-made financial insights while setting new standards for strict factuality, multi-turn conversation context, and high-utility helpfulness. • Identify engineering gaps, set technical roadmap priorities, and guide initiatives from initial discovery through production deployment. • Build strong relationships with cross-functional partners in Product Management, User Experience, Research, Quality, and External Partner Integration to align technical goals with product strategy.

🏢 Summary: Senior Android software engineering role focused on designing, building, testing, deploying, and maintaining large-scale solutions for Hotword detection. The position emphasizes full-stack Android development in Java and Kotlin, third-party API development, and AI fluency. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 8 years of software development experience, 5 years of software product testing and launch experience, 5 years of Android application development experience, 5 years of Java/Kotlin software development experience, Experience with operating systems, including Android, AI fluency 📃 Skills: Android, Java, Kotlin, APIs, AI 🏢 Description: Minimum Qualifications • Bachelor’s degree or equivalent practical experience. • 8 years of experience in software development. • 5 years of experience testing and launching software products. • 5 years of experience with Android application development. • 5 years of experience in software development using Java/Kotlin. • Experience with operating systems, including Android. Preferred Qualifications • Master’s degree or PhD in Engineering, Computer Science, or a related technical field. • 10 years of experience as an Android OS developer working on the Android OS and Google Play services. • 8 years of experience with data structures and algorithms. • 3 years of experience in a technical leadership role leading project teams and setting technical direction. • Experience developing in Kotlin or Java programming languages. • Experience designing and building APIs and large, complex systems. About the Job Responsibilities • Design, develop, test, deploy, maintain, and enhance large-scale software solutions. • Build Android software for Hotword detection. • Contribute to full-stack development, working primarily in Java and Kotlin. • Develop third-party APIs. • Demonstrate AI fluency. Be prepared to discuss knowledge and use of AI tools during the hiring process.

🏢 Summary: Technical leadership role managing a team that builds capacity-planning systems for high-throughput cloud storage products and large AI/ML workloads. The position owns strategy and delivery for distributed infrastructure solutions, network optimization, automated capacity adjudication, and cross-functional supply alignment. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 8 years of software development experience, 3 years of experience with large-scale infrastructure, distributed systems, networks, compute technologies, storage, or hardware architecture, 3 years of technical leadership experience, 2 years of people management or team leadership experience 📃 Skills: Software, Infrastructure, DistributedSystems, Networks, Compute, Storage, Hardware, CapacityPlanning, AI, ML 🏢 Description: Minimum qualifications • Bachelor’s degree, or equivalent practical experience. • 8 years of experience in software development. • 3 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. • 3 years of experience in a technical leadership role. • 2 years of experience in a people management or team leadership role. Preferred qualifications • Master's degree or PhD in Computer Science or a related technical field. • 3 years of experience working in a complex, matrixed organization. • Strong understanding of AI/ML frameworks. • Experience mentoring executive engineers and other technical leads. • Experience in capacity planning for complex, large-scale distributed systems. About the job Responsibilities • Manage team staffing and career growth, uphold a high-performance bar, and foster an environment to build capacity-planning solutions for high-throughput GCS products. • Own the strategy, scoping, navigation, and outcomes for capacity-planning systems targeting high-throughput scenarios, such as the Bandwidth Highway and Rapid Cache. • Guide the team through ambiguity by breaking down complex challenges, including supply scarcity and dense AI zone typologies, into tractable technical milestones. • Navigate complex relationships across GCS, Networking, Compute, and Data Center teams to align supply agendas and ensure seamless onboarding for massive AI/ML workloads. • Drive engineering efforts to automate capacity adjudication, optimize network resources, and accelerate the time required to onboard new high-throughput customers.

🏢 Summary: Research-focused Software Engineer role advancing large language model and information retrieval capabilities for Gemini, Search, and related products. The position combines model evaluation, multi-stage training and practical modeling innovations, with deployment of research advances alongside Search and YouTube teams. 🗂️ Requirements: Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, a related technical field, or equivalent practical experience, 3 years of machine learning experience focused on Large Language Models or Information Retrieval, 3 years of software engineering experience using Python, C++, JAX, or PyTorch, Experience implementing multi-stage training pipelines or algorithms 📃 Skills: Python, C++, JAX, PyTorch, LLMs, IR, MachineLearning 🏢 Description: Minimum qualifications • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience. • 3 years of experience in machine learning, with a focus on Large Language Models (LLMs) or Information Retrieval (IR). • 3 years of experience with software engineering in Python, C++, JAX, or PyTorch programming, including experience implementing multi-stage training pipelines or algorithms. Preferred qualifications • Experience developing Reinforcement Learning (RL) algorithms, automated evaluation systems, or LLM reflection and reasoning frameworks. • Experience with competitive programming, mathematics competitions (e.g., ICPC, IOI, IMO), or a track record of developing novel algorithms. • Experience rapidly prototyping and iterating on complex systems, generative AI models, or multi-stage pipelines. • Experience collaborating with product engineering teams to deploy machine learning models or research innovations into large-scale production environments (e.g., Search, Recommendation Systems). • Track record of learning new software tools, frameworks, and codebases quickly to solve complex technical obstacles. About the job Research-focused Software Engineers create experiments, prototype implementations, and design new architectures for real-world challenges such as artificial intelligence, data mining, natural language processing, hardware and software performance analysis, compilers for mobile platforms, and core search. The role includes large-scale testing and rapid deployment of promising ideas, while contributing to the wider research community through university partnerships and published papers. Responsibilities • Uncover strategic opportunities at the intersection of Gemini, Search, factuality, continual learning, deep research, and domain internalization. • Analyze models and model-driven products beyond current leaderboards; understand complex problem spaces and create new ways to measure ideal behavior. • Use empirical findings to develop practical interventions and modeling innovations that improve models across downstream surfaces. • Collaborate with product teams such as Search and YouTube to scale research innovations into production environments, optimizing for quality and efficiency.

🏢 Summary: Software engineering role focused on building and maintaining large-scale technical infrastructure that powers global services. The position involves product and systems development, design and code reviews, documentation, and debugging issues across hardware, network, and service operations. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 2 years of programming experience in C++, Python, or Go, 2 years of experience with large-scale infrastructure, distributed systems, networks, compute technologies, storage, or hardware architecture 📃 Skills: C++, Python, Go, Infrastructure, Networks, Compute, Storage 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 2 years of experience programming in C++, Python, or Go. • 2 years of experience developing large-scale infrastructure, distributed systems, or networks; or experience with compute technologies, storage, or hardware architecture. Preferred qualifications • Master’s degree or PhD in Computer Science or related technical fields. • 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging. • 2 years of experience with data structures or algorithms in an academic or industry setting. • Experience developing accessible technologies. • Proficiency in code and system health, diagnosis and resolution, and software test engineering. About the job Software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Products handle information at massive scale and extend beyond web search. As a software engineer, you will work on a project critical to business needs, with opportunities to switch teams and projects as the business grows and evolves. Engineers are expected to be versatile, demonstrate leadership, and take on new full-stack problems. The Technical Infrastructure team builds the architecture behind online user experiences. Its work includes developing and maintaining data centers, building next-generation platforms, and keeping networks running to provide users with a fast, reliable experience. The AI and Infrastructure team delivers AI and infrastructure at scale, efficiency, reliability, and velocity for internal teams, cloud customers, and users worldwide. Teams support AI-model development, global computing services, and developer platforms, with work spanning software and hardware, including TPUs, Vertex AI for Google Cloud, global networking, data center operations, and systems research. Responsibilities • Write product or system development code. • Participate in or lead design reviews with peers and stakeholders to select among available technologies. • Review code developed by other developers and provide feedback to ensure best practices, including style guidelines, code check-in, accuracy, testability, and efficiency. • Contribute to existing documentation or educational content and adapt content based on product or program updates and user feedback. • Triage product or system issues and debug, track, and resolve them by analyzing issue sources and their impact on hardware, network, or service operations and quality.

🏢 Summary: Software engineering role focused on building and operating large-scale technical infrastructure, distributed systems, networks, and cloud platforms. The position involves end-to-end development, design reviews, code quality, documentation, and troubleshooting of system, hardware, network, and service issues. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 2 years of programming experience in C++, Python, or Go, 2 years of experience with large-scale infrastructure, distributed systems, networks, cloud technologies, storage, or hardware architecture 📃 Skills: C++, Python, Go, Cloud, Storage, Networks, Infrastructure 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 2 years of experience programming in C++, Python, or Go. • 2 years of experience developing large-scale infrastructure, distributed systems, or networks; or experience with cloud computing technologies, storage, or hardware architecture. Preferred qualifications • Master’s degree or PhD in Computer Science or a related technical field. • 2 years of experience with performance analysis, large-scale systems data analysis, visualization tools, or debugging. • 2 years of experience with data structures or algorithms in an academic or industry setting. • Experience developing accessible technologies. • Proficiency in code and system health, diagnosis and resolution, and software test engineering. About the job Software engineers develop next-generation technologies that support how billions of users connect, explore, and interact with information. Products operate at massive scale and span areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile development. This role is assigned to a project critical to technical infrastructure needs, with opportunities to move between teams and projects as business needs evolve. Engineers are expected to be versatile, demonstrate leadership, and take on new full-stack challenges. The Technical Infrastructure team develops and maintains data centers, platforms, and networks that support products and services. The AI and Infrastructure team delivers AI and infrastructure capabilities at scale, with work spanning hyperscale computing, TPUs, Vertex AI, global networking, data center operations, systems research, software, and hardware. Responsibilities • Write product or system development code. • Participate in or lead design reviews with peers and stakeholders to select among available technologies. • Review code from other developers and provide feedback on best practices, including style guidelines, code check-in, accuracy, testability, and efficiency. • Contribute to documentation or educational content, adapting it for product or program updates and user feedback. • Triage, debug, track, and resolve product or system issues by analyzing their sources and impacts on hardware, network, or service operations and quality.

🏢 Summary: Lead Google Cloud AI Research engineering teams developing and deploying large-scale generative AI solutions. The role combines technical strategy, ML infrastructure optimization, system design, code development, and people leadership across multiple teams and locations. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 8+ years of software development experience, 5+ years leading ML design and ML infrastructure optimization, 3+ years in technical leadership, 2+ years with state-of-the-art GenAI techniques or related concepts, 2+ years of people management or team leadership experience 📃 Skills: Python, C, C++, Java, JavaScript, ML, GenAI, LLMs, Multimodal, Vision, Deployment, Evaluation, Debugging, Finetuning 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). • 3 years of experience in a technical leadership role. • 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). • 2 years of experience in a people management or team leadership role. Preferred qualifications • Master’s degree or PhD in Engineering, Computer Science, or a related technical field. • 3 years of experience working in an organization involving cross-functional or cross-business projects. About the job Software Engineering Managers provide technical leadership for major projects while managing teams of engineers. They manage project goals, contribute to product strategy, develop their teams, and help engineers optimize their code. This role manages engineers across multiple teams and locations, a large product budget, and the deployment of large-scale projects across multiple international sites. The Google Cloud AI Research team addresses AI challenges across industries including technology, healthcare, finance, and retail, conducting research with scientific and real-world impact and collaborating with product teams to bring innovations to customers. Responsibilities • Set and communicate team priorities that support broader organizational goals; align strategy, processes, and decision-making across teams. • Set clear expectations based on individuals’ levels and roles; meet regularly to discuss performance and development, and provide feedback and coaching. • Develop the mid-term technical vision and roadmap for one or more teams; evolve the roadmap for future requirements and infrastructure needs. • Design, guide, and vet system designs; write product or system development code to solve ambiguous problems. • Lead the design of GenAI solutions, optimize ML infrastructure, and guide data preparation and model optimization strategies.

🏢 Summary: Design and develop high-speed I/O, interconnect, PCIe, high-power connector, and Ethernet cable solutions. The role covers cable architecture, tolerance and FEA analysis, specifications, cross-functional collaboration, and supplier prototype development for production-ready products. 🗂️ Requirements: Bachelor’s degree in Mechanical Engineering, Product Design, or related field, or equivalent practical experience, 3 years of experience designing mechanical components or assemblies, 3 years of experience using CAD tools 📃 Skills: CAD, MCAD, NX, Creo, Solidworks, PCIe, Ethernet, FEA 🏢 Description: Minimum Qualifications • Bachelor’s degree in Mechanical Engineering, Product Design, or a related field, or equivalent practical experience. • 3 years of experience designing mechanical components, including plastic or metal parts, mechanical assemblies, printed circuit boards, or flexes. • 3 years of experience using computer-aided design (CAD) tools, such as 3D MCAD, NX, Creo, or Solidworks. Preferred Qualifications • Master’s degree in Mechanical Engineering, Product Design, or a related field, or equivalent practical experience. • 3 years of work experience in consumer product design. • Experience shipping multiple consumer products. • Experience collaborating with suppliers around the world on part manufacturing and final assembly, including onsite factory support. • Experience with multiple manufacturing methods used in consumer products. • System integration experience, including electro-mechanical components such as audio, display, camera, and antenna; waterproofing; thermals; grounding; or product architecture. About the Job Lead the development of high-speed I/O and interconnect cables and connectors. Concept and design next-generation cable families to meet expanding needs for internal and external PCIe solutions, and support a growing portfolio of high-power connector solutions. Responsibilities • Design Ethernet electrical cables to meet and exceed industry specifications, and drive multi-source development of cable solutions that meet interoperability requirements. • Perform tolerance analysis and Finite Element Analysis (FEA) on mating designs. • Develop thorough cable specifications covering electrical and mechanical performance, quality, ergonomics, and serviceability in collaboration with a broad cross-functional team. • Drive suppliers to provide functioning prototypes for early evaluation; identify and resolve design weaknesses in supplier product offerings to meet requirements.

🏢 Summary: Software engineering role focused on building and operating switch software for Google’s data-center network operating system. The position supports AI networking and high-performance TPU/GPU fabrics, with responsibility for scalable network performance, software delivery, and system issue resolution. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 5 years of software development experience, 3 years of software product testing, maintenance, or launch experience, 1 year of software design and architecture experience, 3 years of large-scale infrastructure, distributed systems, networks, compute, storage, or hardware architecture experience, Networking experience with L2, L3, ACL protocol layers, and SDN 📃 Skills: Networking, SDN, Linux, L2, L3, ACL, Multithreading, Infrastructure, DistributedSystems, Switching, TPU, GPU 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 5 years of experience with software development in one or more programming languages. • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. • 3 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. • Experience with networking (L2/L3/ACL protocol layers) and SDN. Preferred qualifications • Master's degree or PhD in Computer Science, or a related technical field. • 5 years of experience with data structures and algorithms. • Experience developing accessible technologies. • Knowledge of Linux user space development and multi-threading development. About the job Software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. Products operate at massive scale and span areas including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile. As a software engineer, you will work on a project critical to business needs, with opportunities to switch teams and projects as the business evolves. The role requires versatility, leadership, and enthusiasm for solving new full-stack problems. Join a high-performing team responsible for the network operating system powering data-center infrastructure. Contribute to projects enabling AI networking and high-performance fabrics for TPU and GPU workloads. The Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power services. Its computational challenges are complex and enabled by custom hardware designed and manufactured in-house. The work spans systems from concept through high-volume manufacturing and can shape the machinery used in cutting-edge data centers. Responsibilities • Design, develop, test, deploy, maintain, and improve switch software. • Manage individual project priorities, deadlines, and deliverables. • Manage scalability and performance tuning of large-scale networks. • Triage product or system issues and debug, track, and resolve them by analyzing their sources and impact on hardware, network, or service operations and quality.

🏢 Summary: Lead manufacturing test engineering for hardware systems, managing a team and developing scalable test strategies, automation, and process improvements. The role addresses complex product failures through RCCA, data collection, and manufacturing-process qualification for server, storage, and networking hardware. 🗂️ Requirements: Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent engineering experience, 10 years of test engineering experience in electronics manufacturing, 8 years of people management experience, Python, Bash, and Shell scripting experience for product-specific test plans and test execution 📃 Skills: Python, Bash, Shell, RCCA, ICT, BSCAN 🏢 Description: Minimum qualifications • Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent engineering experience. • 10 years of experience in Test Engineering in electronics manufacturing. • 8 years of experience in people management. • Experience coding in Python, Bash, and Shell scripting to generate product-specific test plans and execute testing accordingly. Preferred qualifications • Experience in manufacturing, quality, or product engineering for hardware technology and systems. • Experience working with server, storage, and networking products, especially AI and ML servers, racks, and integration. • Experience with test station bring-up, gauge R&R/correlation, and partner or agreement manufacturing (ODM, OEM, JDM). • Experience managing manufacturing test hardware using custom electronics, fixturing, instrumentation, and defining test strategy, test automation, test optimization, and scaling test capacity. • Experience with design for test and structural tests such as ICT/BSCAN, Board- and System-level Functional Tests. • Ability to drive improvement of test systems and processes for scaling test capacity. About the job Join a team developing custom silicon solutions that support direct-to-consumer hardware products. Contribute to next-generation hardware experiences focused on performance, efficiency, and integration, while supporting the technical infrastructure behind data centers, platforms, and networks. Responsibilities • Lead a team; set and communicate individual and team priorities that support organizational goals. • Meet regularly with individuals to discuss performance and development, and provide feedback and coaching. • Apply Root Cause Corrective Action (RCCA) fundamentals and collaborate with teams to analyze failures and resolve issues. • Define and execute data-collection activities for highly complex technical issues. • Drive process design, optimization, and qualification activities for manufacturing processes involving components, parts, or products.