Mechanical Product Design Engineer, Platforms, Cloud Interconnect

🏢 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.

🏢 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: 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: 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: Product Design Architect role focused on translating industrial design concepts into production-ready, Class-A CAD surfaces for consumer electronics. The position uses NX and Alias to support products from concept through mass production, collaborating with design, engineering, UX, manufacturing, and external teams. 🗂️ Requirements: Bachelor’s degree in a relevant field or equivalent practical experience, 6 years of consumer product design experience, Consumer electronics industry experience, 3D surfacing experience with NX and Alias, Experience designing and shipping consumer products, Portfolio, website, or accessible work samples included with resume 📃 Skills: NX, Alias, CAD, Surfacing, Manufacturing, Prototyping 🏢 Description: Minimum qualifications • Bachelor's degree in a relevant field (e.g. Mechanical Engineering, Product Design, Industrial Design, Manufacturing) or equivalent practical experience. • 6 years of experience in consumer product design, including in the consumer electronics industry. • Experience with 3D surfacing, utilizing NX/Alias. • Experience designing and shipping consumer products. • Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link or access instructions). Preferred qualifications • Experience in aligning design team efforts with company goals. • Experience with materials, manufacturing, and all phases of the design process; ability to apply this expertise to provide innovative solutions to complex problems. • Experience leading projects from concept to mass production as a team player with a willingness to learn. • Proven record of shipping exceptional consumer products. • Ability to grow in ambiguity, focus on customer experience, be detail-oriented, and do what it takes to get the job done. • Strong problem-solving, communication, and presentation skills. About the job The Product Design Architect team is part of the Hardware Design organization. Its mission is to support the industrial design team by developing ideas into products and designing consumer devices that delight and inspire users worldwide. The team uses a deeply considered approach to craft beautiful, production-ready Class-A surfaces with a high bar for quality, aesthetics, and mathematical precision. In addition to delivering user-visible surfaces, the team partners cross-functionally to investigate mechanical and component architectures and develop innovative design concepts for appearance models, visualizations, and functional prototypes. As a Product Design Architect, you will use 3D CAD software to capture and maintain industrial design vision from concept to production. You will understand a broad range of manufacturing processes and use cross-functional collaboration to meet engineering, UX, reliability, and cost requirements. You will push 3D CAD to the highest level, focus on details, and bring designs into mass production. The Platforms and Devices team spans computing software platforms and first-party devices and services, researching, designing, and developing technologies that make interaction with computing faster and more seamless. Responsibilities • Leverage NX/Alias to capture and maintain industrial design vision from sketches, reference CAD, and discussions. • Collaborate with Industrial Design, UX, Engineering, Manufacturing, and external teams to deliver production-level CAD models with Class-A surfaces in NX/Alias that meet requirements. • Create high-quality 3D surfaces for design concepts, prototypes, engineering evaluations, and visualizations. • Work independently and cross-functionally throughout the development and build process. • Travel may be needed, including to overseas manufacturing facilities, to ensure manufacturing viability while maintaining the design vision. • Present knowledge of new materials and processes, state-of-the-art innovation, and emerging technologies that inform product development. • Identify future tools and processes to enhance capabilities and support department and company growth.

🏢 Summary: Product management role focused on guiding Search products from conception through launch and improving information access for users worldwide. The position partners with engineering, UX, marketing, legal, and other teams to solve complex product and infrastructure challenges, launch features, and iterate based on performance. 🗂️ Requirements: Bachelor's degree or equivalent practical experience, 8 years of product management or related technical experience, 3 years taking technical products from conception to launch 📃 Skills: Accessibility, Software 🏢 Description: Minimum qualifications • Bachelor's degree or equivalent practical experience. • 8 years of experience in product management or related technical role. • 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1). Preferred qualifications • Master’s degree or PhD in a technology- or business-related field. • 5 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders. • 5 years of experience in a business function or role, such as marketing, business operations, or consulting. • 4 years of experience preparing and delivering technical presentations to executive leadership. • 3 years of experience in software development or engineering. • Knowledge of, or continued interest in, accessibility best practices and experience or curiosity in incorporating accessibility into product development methodologies. About the job Work cross-functionally to guide products from conception to launch, connecting technical and business priorities. Break down complex problems into actionable steps that drive product development. The role supports the design and development of technologies that improve access to information. Responsibilities span the product execution cycle, including analyzing, positioning, packaging, promoting, and tailoring solutions to users. The Search team is reimagining how people search for information across contexts and devices. The work involves solving complex engineering challenges, expanding infrastructure, and maintaining an accessible, useful experience relied on by people globally. Responsibilities • Understand markets, competition, and user requirements in depth. • Launch new products and features, test performance, and iterate quickly. • Collaborate with engineering, marketing, legal, UX, and other teams on technologies. • Develop solutions by collaborating across regions, product areas, and functions as needed.

🏢 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: Product Manager role focused on defining and launching AI-powered Pixel mobile experiences. The position leads product strategy, on-device AI solutions, prototyping, and cross-functional delivery from concept through launch. 🗂️ Requirements: Bachelor's degree or equivalent practical experience, 3 years of product management or related technical experience, 1 year taking technical products from conception to launch, Experience integrating generative AI tools or LLM interfaces into workflows 📃 Skills: AI, LLM, Android, UX, UI, Software, Prototyping 🏢 Description: Minimum qualifications • Bachelor's degree or equivalent practical experience. • 3 years of experience in product management or a related technical role. • 1 year of experience taking technical products from conception to launch, such as ideation to execution or 0-to-1 work. • Experience integrating generative AI tools or LLM interfaces into workflows. Preferred qualifications • Master's degree in a technology- or business-related field. • 2 years of experience in a business function or role, such as strategic marketing, business operations, or consulting. • 2 years of experience preparing and delivering technical presentations to senior leadership. • 2 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders. • 1 year of experience in software development or engineering. • Experience with Android mobile, device software, operating systems, or other foundational technology-stack components. About the job Guide products from conception to launch by connecting technical and business needs, breaking complex problems into actionable steps that drive product development. Work with engineers, designers, marketers, and other partners to design, develop, position, package, promote, and tailor solutions for users. The role supports the development of mobile experiences, bringing together artificial intelligence, software, and hardware to create smartphone experiences for users worldwide. Responsibilities • Define and execute the product strategy and roadmap for AI experiences, synthesizing multimodal signals into context-aware user suggestions. • Advance next-generation device pipelines to create frictionless user interactions. • Partner with engineering, UX, and privacy teams to architect secure, on-device processing solutions that address technical platform constraints. • Lead rapid prototyping and continuous testing using AI-assisted tools to independently validate concepts and user experiences. • Author product specifications that frame requirements around outcomes and success criteria and align specialized teams.

🏢 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.