Senior Interaction Designer, AI and Compute Infrastructure, Cloud

🏢 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: 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: Senior Performance Co-Design Engineer role focused on analyzing and optimizing LLM serving performance on custom ML accelerators. The position develops simulation, profiling, and modeling tools, partners across hardware and software teams, and informs future TPU and cloud silicon architecture decisions. 🗂️ Requirements: Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, related field, or equivalent practical experience, 5 years of experience in performance modeling, performance engineering, computer architecture, co-design, or systems engineering, C++ or Python programming experience 📃 Skills: C++, Python, Modeling, Architecture, Codesign, Simulation, Profiling, LLMs, TPU 🏢 Description: Minimum qualifications • Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, a related field, or equivalent practical experience. • 5 years of experience in performance modeling/engineering, computer architecture, co-design, or systems engineering. • Experience programming in C++ or Python. Preferred qualifications • Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, with an emphasis on computer architecture. • Experience with hardware/software co-design problems, especially performance analysis and identification at the pre-silicon stage. • Experience enabling and optimizing large-scale ML models, such as LLMs and large embedding models. • Experience with ML infrastructure, profiling tools, or deep learning inference/serving optimizations. • Familiarity with accelerator architectures. Description Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. The TPU Chip Architecture and Performance Co-design team is at the forefront of optimizing custom AI silicon for next-generation machine learning models. As a Senior Performance Co-Design Engineer, you will focus on conducting LLM serving studies. You will analyze and optimize the serving performance of emerging models and use cases on custom hardware, and work closely with hardware architects to influence the evolution of custom ML accelerators. The AI and Infrastructure team delivers AI and Infrastructure at scale, efficiency, reliability, and velocity. Customers include Googlers, Google Cloud customers, and billions of Google users worldwide. Teams work across software and hardware, including TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and more. Responsibilities • Conduct comprehensive serving performance studies on current and emerging LLMs, including 1P and 3P models. • Develop and maintain advanced simulation, profiling, and modeling tools to identify bottlenecks, understand key characteristics, and project serving workload performance. • Partner with model researchers and software and hardware teams to co-design architectural improvements tailored to LLM inference latency and throughput. • Drive data-backed decisions that influence the roadmap for future TPU and Cloud Silicon architectures.

🏢 Summary: This offer is for a senior software engineer to build conversational AI-agent capabilities, including recommendation systems, skill discovery and performance investigation tools. The role combines ML system design and infrastructure with technical leadership, stakeholder management and team coaching. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 5 years of software development experience, 5 years of software product testing and launch experience, 3 years of software design and architecture experience, 5 years of experience in speech/audio, reinforcement learning, ML infrastructure, or another ML specialization, 5 years of ML design and ML infrastructure experience, including deployment, evaluation, data processing, debugging or fine-tuning 📃 Skills: Python, MachineLearning, ReinforcementLearning, Speech, Audio, MLOps, Deployment, Evaluation, Debugging, Finetuning, Algorithms, Architecture 🏢 Description:

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🏢 Summary: Lead foundational UX research for generative AI products, shaping long-term product strategy and model behavior. The role partners with research, product, and operations teams to translate user evidence into AI evaluation frameworks, including measures for trust, agency, and hallucination tolerance. 🗂️ Requirements: Bachelor’s degree in Human-Computer Interaction, Psychology, Cognitive Science, related field, or equivalent practical experience, 8 years of experience in UX research, product strategy, or a related consumer technology field, Qualitative research experience, Quantitative research experience 📃 Skills: UX, AI, RLHF, Research, Analytics 🏢 Description: Minimum qualifications • Bachelor's degree in Human-Computer Interaction, Psychology, Cognitive Science, or a related field, or equivalent practical experience. • 8 years of experience in User Experience Research, Product Strategy, or a related field within consumer-facing technology. • Experience in qualitative and quantitative research methods. Preferred qualifications • Experience working on systems such as AI, search, algorithmic feeds, or cloud platforms where the user experience is driven by machine learning. • Experience influencing executive stakeholders and managing product changes through evidence-based narratives. Description Artificial intelligence will be one of humanity’s most transformative inventions. The role focuses on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users, with safety and ethics as priorities. Responsibilities • Identify the next wave of user needs in generative AI. • Move beyond tactical testing to lead foundational research that informs the multi-year product roadmap. • Define the signals used for model tuning through Reinforcement Learning from Human Feedback (RLHF) to ensure the AI’s personality and reasoning align with user expectations. • Partner with Research, Product Management, and Strategy and Operations to integrate user insights into core business and technical strategy. • Develop and scale new frameworks for evaluating AI. • Pioneer ways to measure complex concepts such as hallucination tolerance, creative agency, and collaborative trust that traditional UX metrics often miss.

🏢 Summary: Senior product design opportunity focused on creating natural, efficient user experiences for Gemini and AI-powered conversational products. The role partners with cross-functional teams to translate user, technical, and business needs into polished, systems-oriented design solutions. Compensation includes a US base salary of $188,000–$274,000, a 20% target bonus, equity, and benefits. 🗂️ Requirements: Bachelor’s degree in Design, Human-Computer Interaction, Computer Science, related field, or equivalent practical experience, 8 years of user-interface design experience for software applications, Experience designing conversational products, Portfolio, website, or other work sample link included with resume 📃 Skills: UI, Conversational, AI, HCI 🏢 Description: Minimum qualifications • Bachelor's degree in Design, Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience. • 8 years of experience designing user interfaces for software applications. • Experience in designing for conversational 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 collaborating with large cross-functional teams through ideation, validation, and iteration processes, helping transform abstract ideas into shippable products. • Proficiency in designing user-centric experiences for unconventional hardware devices, with a strong understanding of physical interactions, multi-device complexities, and contextual awareness. • Familiarity with behavioral data and capability to create data-driven designs, while being equally capable of moving forward in the absence of data. • Excellent communication and collaboration skills with the ability to articulate design rationale and build alignment with partners. • Demonstrated expertise in designing intuitive interactions for AI-driven products. About the job We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $188000 - $274000 (USD) + 20% bonus target + equity + benefits Responsibilities • Design user experiences for Gemini, ensuring natural and efficient interaction within your specific product area. • Collaborate with cross-functional teams and cross-organizations to align design efforts with product strategy and user goals, influencing decisions that drive positive user outcomes. • Translate user needs, technical understanding, and business requirements into polished design solutions by deeply understanding human factors (physical, social, and cultural) and situational contexts. • Apply a systems-thinking approach to your design work, understanding the impact of individual components on the overall AI-powered experience, optimized for AI's probabilistic nature.

🏢 Summary: Staff CAD Engineer role focused on architecting, developing, and deploying the CI2 silicon design environment for next-generation TPU and AI/ML hardware. The position improves silicon development flows, iteration speed, and power, performance, cost, and quality outcomes through advanced tooling and cross-functional collaboration. 🗂️ Requirements: Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, related field, or equivalent practical experience, 10 years of technical leadership experience in critical silicon-design areas, Experience in at least two silicon disciplines, Experience developing and deploying advanced tools and development flows for the silicon lifecycle, Ability to lead design-environment architecture, development, and deployment, Knowledge of silicon development phases and scalable design flows 📃 Skills: Silicon, TPU, CI2, AI/ML, DFT, Synthesis, Verification, Firmware, Architecture, Modeling, Place-and-route, Timing, APIs 🏢 Description: Minimum qualifications • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. • 10 years of experience in technical leadership focusing on one or more critical aspects of silicon design. • Experience in two or more silicon disciplines, including architecture modeling, logic design, functional verification, DFT, synthesis, place and route, timing analysis, physical verification, or firmware development. • Experience developing and deploying advanced tools and development flows that streamline the silicon lifecycle and improve engineering productivity. Preferred qualifications • Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, with an emphasis on computer architecture. • 15 years of relevant academic and industrial experience in advanced silicon development. • Experience identifying the need for a silicon methodology change, developing a solution, and successfully deploying it with impact to more than 25 developers. • Experience developing solutions that require bridging knowledge gaps among collaborators. • Experience collaborating in internal or external ecosystem standardization efforts. • Knowledge of both front-end silicon development processes—architecture, logic design, and verification—and back-end processes—logic synthesis, place and route, timing convergence, and physical verification. About the job Shape the future of AI/ML hardware acceleration by driving TPU technology for demanding AI/ML applications. Develop custom silicon solutions and use design and verification expertise to verify complex digital designs, with a focus on TPU architecture and its integration within AI/ML-driven systems. As a Staff CAD Engineer, Silicon Design Environment, collaborate with domain experts across the silicon development spectrum to deliver the development environment for chips powering next-generation cloud systems. Refine ambiguous intent into solutions and rally others to develop or deploy them. Responsibilities • Use knowledge of silicon development phases to define the architecture and lead the development and deployment of the overall CI2 design environment as a coherent system of first-party and third-party tools, industry-standard and internal APIs/data formats, and scalable design flows. • Collaborate with technical leaders across CI2 sites to identify evolutionary and revolutionary tooling and methodology changes that enable convergence on a shared design environment. • Engage with other internal teams to keep CI2 at the forefront of advanced silicon development. • Ensure developed technologies optimize project iteration speed while achieving planned power, performance, cost, and quality metrics. • Partner with tools and methodologies team members to apply procedural and AI-first approaches that improve efficiency.

🏢 Summary: Lead global alliances with Global Systems Integrators to expand enterprise adoption and business growth on Google Cloud. The role owns joint business plans, partner offerings and go-to-market initiatives, executive engagement, performance tracking, and cross-functional alignment. 🗂️ Requirements: Bachelor's degree or equivalent practical experience, 15 years of experience in strategy consulting, enterprise sales, or business development, 5 years of experience working with Global Systems Integrators, Experience with enterprise public-cloud solutions and services, Experience designing and building go-to-market models with Global Systems Integrators, Experience managing multiple stakeholders 📃 Skills: Cloud 🏢 Description: Minimum qualifications • Bachelor's degree or equivalent practical experience. • 15 years of experience in strategy consulting, enterprise sales or business development, including 5 years of experience working with Global Systems Integrators (GSI). • Experience with public cloud solutions and services in the enterprise segment. • Experience designing and building go-to-market models with GSIs. • Experience managing multiple stakeholders. Preferred qualifications • MBA or Master's degree in a technical field. • Knowledge of the cloud services landscape and ability to provide industry insights. • Ability to translate data and trends into strategies and compelling messages. • Excellent communication skills and ability to conduct partner CXO engagements. • Excellent leadership and persuasion skills, along with the ability to mentor others. About the job Google Cloud helps organisations empower their employees, serve their customers, and build what’s next for their business with cloud technology. The Global Systems Integrators (GSI) and Consulting Partnerships team manages strategic relationships with top partners. As a Global Alliance Lead, you will help partners scale their worldwide business on Google Cloud. You will act as a trusted advisor throughout the journey of identifying new opportunities, developing capabilities, solutions and service offerings, pursuing go-to-market campaigns, landing wins, and delivering customer success. Responsibilities • Engage with C-level stakeholders, foster relationships between Google leaders, and partner with executives across sales and engineering. • Develop well-thought-out business plans with clear priorities, joint initiatives, and specific goals for growing pipeline, wins, and consumption. • Create compelling offerings and go-to-market initiatives with partners by quantifying opportunities and making a business case for investments as necessary. • Define, track, and analyse performance against specific measures of success for quantifiable, tangible progress. • Collaborate and align with cross-functional stakeholders across both Google and the partner organisation to maximise impact and build a long-term partnership.

🏢 Summary: Product Manager role for Chrome on Android, leading consumer-facing mobile features and foundational platform capabilities from concept through launch. The position leads a cross-functional team, runs experiments, and shapes product strategy using analytics, UX research, and stakeholder alignment. 🗂️ 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: Productmanagement, GenerativeAI, LLM, Analytics, UX, Android, Chrome 🏢 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 (e.g., ideation to execution, end-to-end, 0 to 1). • Experience integrating generative AI tools or LLM interfaces into workflows. Preferred qualifications • Experience shipping mobile features or working on consumer-facing/B2C solutions. • Experience in product delivery and the ability to work on multiple projects concurrently across a distributed team in different time zones. • Experience working with a Design team or familiarity with basic design principles. • Ability to work with data and perform basic data analysis. About the job Product Managers guide products from conception to launch by connecting the technical and business worlds, breaking down complex problems into steps that drive product development. The team works closely with engineers, designers, marketers, and other partners to design and develop technologies that improve access to information. Product Management guides products throughout the execution cycle, focusing on analyzing, positioning, packaging, promoting, and tailoring solutions to users. As a Product Manager, you will lead a dedicated cross-functional sub-team of ten or more Software Engineers, one UX Designer, and one UX Researcher. The team is part of the larger Chrome Android portfolio, a distributed organization of more than eighty members, mostly located across the West Coast. You will drive the development of consumer-facing application features and core foundational stack capabilities, frequently running experiments to validate product hypotheses. The role requires persistence in achieving meaningful impact despite complex organizational or technical constraints and offers the opportunity to shape mobile browsing at scale. Responsibilities • Design and launch experiments with analytics around usage metrics and business impact; iterate based on analysis and UX research concept studies. • Engage and align with the broader Chrome team on feature-engagement trade-offs and the latest capabilities and content. • Collaborate cross-functionally with Engineering, UX Design, UX Research, Marketing, Legal, Privacy, and Public Relations. • Take responsibility for the planning, execution, and success of complex cross-functional projects. • Extend product strategy for specific user segments and drive it forward, gaining buy-in from leadership and stakeholders across Chrome and Android teams.

🏢 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.