Software Engineer Manager II, Resource Engineering

🏢 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: Lead the technical direction and end-to-end delivery of AutoCloud Agentic Systems. The role focuses on Generative AI, scalable software development, engineering best practices, and cross-functional alignment to deliver customer value. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 8 years of software development experience, 5 years of leadership, people management, hiring, mentoring, and talent-retention experience across global locations, 2 years of Generative AI experience 📃 Skills: GenerativeAI, Softwaredevelopment, AI, Prototyping, Deployment, Monitoring 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 8 years of experience with software development. • 5 years of experience in leadership, people management, hiring, mentoring, and retaining talent across global locations. • 2 years of experience with Generative AI. Preferred qualifications • Master’s degree or PhD in Engineering, Computer Science, or a related technical field. • 5 years of experience working in a complex, matrixed organization. About the job Responsibilities • Lead the technical goal and execution for AutoCloud Agentic Systems, ensuring alignment with product goals and user needs. • Drive the end-to-end development life cycle of features, from ideation and prototyping to deployment, monitoring, and iteration, ensuring high quality, scalability, and performance. • Develop technology strategy and phased plans alongside product to drive product improvements or process simplifications. • Partner with cross-functional leaders across Google Cloud and AutoCloud to drive alignment and deliver customer value. • Define and advocate for best practices in AI development and software engineering, ensuring robust and reliable systems.

🏢 Summary: Software engineering role focused on developing and maintaining large-scale infrastructure or distributed systems. The position involves writing and reviewing code, improving technical documentation, and debugging product or system issues across hardware, network, and service operations. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 5 years of software development experience, 1 year of large-scale infrastructure or distributed systems experience, 1 year of data structures and algorithms experience 📃 Skills: Python, C, C++, Java, JavaScript, Algorithms, Golang, Rust 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 5 years of experience with software development in one or more programming languages, such as Python, C, C++, Java, or JavaScript. • 1 year of experience building and developing large-scale infrastructure or distributed systems. • 1 year of experience with data structures and algorithms. Preferred qualifications • Master’s degree or PhD in Computer Science or a related technical field. • Experience developing accessible technologies. • Experience with backend coding languages such as Golang, Rust, or Java. • Experience with ML model coding languages, such as Python. About the job Responsibilities • Write product or system development code. • 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: This offer focuses on developing subscriber and engagement forecasting models, defining product metrics, and delivering analytics that improve subscription growth and engagement. The role partners with Data Science, leads quantitative analysis, and automates product-health reporting with AI-enabled tools. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 4 years of experience in an analytically intensive role 📃 Skills: SQL, Spreadsheets, Visualization, Forecasting, Analytics, Modeling, Automation, AI 🏢 Description: Minimum qualifications • Bachelor's degree or equivalent practical experience. • 4 years of experience with an analytically-intensive role, such as management consulting, investment banking, business intelligence, data science, or corporate strategy and operations. Preferred qualifications • 6 years of experience in an analytically-intensive role, such as management consulting, investment banking, business intelligence, data science, or corporate strategy and operations. • Experience in consumer internet, media, sports, or online video industries, especially with subscription products. • Experience driving cross-functional programs or projects, with exceptional communication skills and the ability to influence a range of audiences. • Strong problem-solving and quantitative skills, including experience with SQL, spreadsheets, data visualization, sophisticated forecast models, and other data analytics tools. About the job Responsibilities • Own the development of driver-based subscriber and engagement models. Translate complex business inputs into forecasts that define annual and quarterly goals (OKRs) and the 5-year business outlook. • Define core product-area metrics and become an expert in how and why those metrics move. Conduct detailed analyses that result in actionable insights to improve performance. • Partner with the Data Science team to prioritize and execute sophisticated quantitative analyses and advanced modeling that delivers actionable insights to grow subscriptions and engagement. • Automate core workflows for product-health reporting, leveraging AI tools to reduce manual overhead and provide more self-serve options for executives.

🏢 Summary: Customer Engineer role partnering with sales teams to design and demonstrate Google Cloud solutions for customers. The position leads technical discovery, demos, pilots, solution architecture, and delivery planning to win and expand cloud workloads. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 6 years of cloud computing experience, 6 years of presentation delivery experience, Experience presenting to technical stakeholders and executive leaders 📃 Skills: Cloud, GoogleCloud, A2A, LangGraph, CrewAI, AutoGen, VertexAI, LLM, TTFT, MCP, Authentication, Quantization 🏢 Description: Minimum qualifications • Bachelor's degree or equivalent practical experience. • 6 years of experience with cloud computing and delivering presentations. • Experience engaging with, and presenting to, technical stakeholders and executive leaders. Preferred qualifications • Experience navigating AI infrastructure consumption models and optimizing high-throughput training/inference clusters. • Experience implementing multi-agent systems using frameworks such as A2A, LangGraph, CrewAI, and AutoGen. • Experience navigating the startup life cycle, from initial prototyping with AI Studio to scaling and achieving product-market fit on Vertex AI. • Experience working with, and a passion for, the high-growth startup ecosystem and its typical rapid-scaling issues. • Knowledge of LLM-native performance metrics, including TTFT, tokens/sec, and cost-per-request, and techniques for optimizing state management, quantization, and provisioned throughput. • Ability to implement secure agentic workflows incorporating MCP, tool-calling, and enterprise-grade authentication. About the job As a Customer Engineer, you will partner with technical sales teams to differentiate cloud solutions for customers. You will serve as the customer’s primary technical partner and trusted advisor, leading technical conversations to understand business issues. You will troubleshoot technical questions and roadblocks, participate in proofs of concept and demos, and architect cross-pillar cloud solutions. You will drive the technical win, define delivery and consumption plans, and present practical solutions to technical and business leaders. You will identify, pursue, and win new business workloads while expanding existing ones. The role requires broad technical expertise across infrastructure modernization, application modernization, data analytics, and related areas, combined with sales expertise, market knowledge, and direct technical engagement. Responsibilities • Develop and own the technical account plan and strategy, participating in planning and supporting targeted sales motions. • Combine sales, programming, and solutions architecture expertise to prove the value of the cloud portfolio through complex demos, pilots, and in-depth workshops. • Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers; continue to lead technical engagement during the solution phase. • Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams. • Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration, or implementation phases.

🏢 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: 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: 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: 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: Lead 24/7 data center operations for a metro area, managing technical teams, vendors, infrastructure deployment, and system support. The role requires deep data center, network, compute, and Linux/Unix expertise while driving global initiatives and EHS compliance. 🗂️ Requirements: Bachelor’s degree in a technical field or equivalent practical experience, 8 years of technical team, vendor/contract, and service-delivery management experience, 8 years of data center infrastructure, network/compute architecture, hardware life-cycle, and Linux/Unix administration experience, Ability to work non-standard hours, including weekends, nights, holidays, and shift schedules 📃 Skills: Linux, Unix, Networking, Compute, Infrastructure, Hardware, EHS 🏢 Description: Minimum qualifications • Bachelor's degree in a technical field or equivalent practical experience. • 8 years of experience managing technical teams, vendor or contract management, and service delivery. • 8 years of experience working in data center environments, including building and operating infrastructure; network and compute architecture and life-cycle; and Linux/Unix system administration. • Ability to work non-standard hours, including weekends, night shifts, holidays, and shift-based schedules as required. Preferred qualifications • Master's degree in a technical field or equivalent practical experience. • Experience initiating and executing strategic initiatives in a global environment. • Experience leading and improving Environmental Health and Safety (EHS) initiatives. • Exceptional data gathering and presentation skills. About the job As part of the Technical Infrastructure team, you will operate with an engineering-first mindset, serving as "our engineers' engineers." You will improve systems by taking them apart and rebuilding them better, from initial data center development through engineering next-generation platforms. The team keeps networks running and secure, maximizes hardware efficiency, and ensures seamless system performance for a fast, reliable online experience. Responsibilities • Manage round-the-clock operations across all shifts, including days, nights, and weekends, within the metro area. • Oversee hiring, coaching, talent development, and vendor management for technical teams. • Lead the deployment, maintenance, and support of systems and network architectures. • Use Linux/Unix, network protocol, and hardware life-cycle expertise to resolve complex strategic challenges. • Execute global strategic projects aligned with company goals while driving strict Environmental, Health and Safety (EHS) compliance.