Chip Package Signal and Power Integrity Engineer

🏢 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: 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: 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: Lead Technical Program Manager role driving the development and production delivery of next-generation AI/ML GPU systems and infrastructure solutions for cloud and technical infrastructure use cases. The individual contributor will lead cross-functional hardware and software programs, manage schedules and risks, and align technical execution across engineering, product, data center, networking, supply chain, and operations teams. 🗂️ Requirements: Bachelor’s degree in a technical field or equivalent practical experience, 5 years of program management experience, Experience launching new products across hardware, software, and systems infrastructure, Experience with data center infrastructure and deployment 📃 Skills: Programmanagement, Hardware, Software, Infrastructure, Datacenters, GPU, IaaS, VM, Baremetal, Distributedsystems 🏢 Description: Minimum Qualifications • Bachelor's degree in a technical field, or equivalent practical experience. • 5 years of experience in program management. • Experience in launching new products (NPI), encompassing hardware and software development, and systems infrastructure. • Experience with data center infrastructure and deployment. Preferred Qualifications • 5 years of experience managing cross-functional or cross-team projects. • Experience in hardware engineering, software engineering, GPU systems, and solutions. • Experience launching IaaS VM, bare metal, and machine-of-the-day products. • Ability to assess engineering problems and understand large-scale distributed systems. About the Job As a Technical Program Manager, you will use technical expertise to lead complex, multidisciplinary projects from start to finish. You will work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate with cross-functional partners. You will explain analyses and recommendations to executives and discuss technical tradeoffs in product development with engineers. The Platforms Infrastructure Engineering Program Management Office partners with compute engineering, networking, data center, supply chain, and operations teams to deliver AI/ML and standard compute systems and solutions supporting cloud IaaS and technical infrastructure services. This individual contributor role serves as the lead Technical Program Manager driving system and solution development for next-generation AI/ML GPU systems for cloud and technical infrastructure use cases. Responsibilities • Lead a cross-functional team across organizational levels and functional areas to develop and deliver hardware programs from inception to production. • Set program vision and direction by defining goals and objectives, evaluating and supervising multiple projects, organizing cross-project work, and establishing program controls, governance, and standards. • Use technical judgment to drive project delivery, conduct technology reviews, challenge proposals, build consensus, and align cloud and central processes. • Develop project documentation, process maps, presentations, and tracking reports that provide detailed project status. • Engage with engineering directors, product leaders, and Technical Program Manager groups to streamline processes, simplify execution, manage OKRs, support on-time releases, introduce efficiency tooling, and help teams execute.

🏢 Summary: Technical data center role focused on deploying, operating, troubleshooting, repairing, and maintaining infrastructure and equipment. The position requires component-level repair experience, technical diagnosis skills, physical capability to handle equipment, and availability for non-standard shift schedules. 🗂️ Requirements: Component-level repair and troubleshooting experience on technical equipment, Diagnosis and troubleshooting experience with operating systems, computer/server hardware, or networking protocols, Ability to lift and move 50 lb (23 kg) equipment and perform sustained physical work, Availability for non-standard hours, including weekends, nights, holidays, and shift schedules 📃 Skills: Troubleshooting, Repairs, OperatingSystems, Hardware, Networking 🏢 Description: Minimum qualifications • Experience with performing component-level repairs and troubleshooting on technical equipment. • Experience diagnosing and troubleshooting one of the following: operating systems, computer/server hardware, or networking protocols. • Ability to lift/move 50 lb (23 kg) of equipment and ability to exert yourself physically over extended periods of time, including frequent bending, kneeling, climbing, pushing/pulling, and lifting. • Ability to work non-standard hours, including weekends, night shifts, holidays, and shift-based schedules as required. Preferred qualifications • Bachelor's degree or equivalent practical experience. • Completion of the online Google IT Support Professional Certificate program. • 2 years of experience diagnosing and troubleshooting one of the following: operating systems, computer/server hardware, or networking protocols. • Experience performing component-level repairs and troubleshooting on IT equipment or in a similar role, such as Systems Administration, Network Deployment Engineer, or Help Desk Technician. • Experience working within a data center or network operation center environment. • Ability to collaborate and partner with teams to overcome issues and adapt to changes in a dynamic work environment. About the job The AI and Infrastructure team delivers AI and infrastructure at scale, efficiency, reliability, and velocity. The work supports internal users, cloud customers, and global services, including hyperscale computing, AI models, computing platforms, networking, and data center operations. Responsibilities • Deploy and operate new data center infrastructure across projects or functions. • Report issues and follow data center procedures to troubleshoot and diagnose straightforward equipment or infrastructure issues, applying the resources needed to resolve them. • Maintain the security and integrity of data; track various forms of media for standard data-security issues, such as data not being properly erased, in accordance with security standards. • Disassemble end-of-life equipment through part replacement or maintenance in a team setting. • Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues, defined solutions, and limited guidance.

🏢 Summary: Technical Program Manager role leading end-to-end development and execution of Pixel hardware products. The position coordinates cross-functional engineering, operations, and development partners to deliver products on schedule, cost, quality, and manufacturability targets. 🗂️ Requirements: Bachelor’s degree in a technical field or equivalent practical experience, 5 years of program management experience, Consumer electronics system engineering experience, Hardware product development experience from prototype through mass production 📃 Skills: Programmanagement, Systemengineering, Electronics, Hardware, Manufacturing 🏢 Description: Minimum qualifications • Bachelor’s degree in a technical field, or equivalent practical experience. • 5 years of experience in program management. • Experience managing consumer electronics system engineering. • Experience across all phases of hardware product development from prototype to mass production. Preferred qualifications • 5 years of experience managing cross-functional or cross-team projects. • Experience with consumer electronics and shipping products. • Knowledge of product life cycle, tools, processes, and development planning. • Ability to lead technical teams, cross-functional groups, and vendors against plans. • Ability to take initiative and drive several tasks at once. • Passion for improving processes and plans. About the job As a Technical Program Manager, you will use technical expertise to lead complex, multidisciplinary projects from start to finish. You will work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate with cross-functional partners. The role involves explaining analyses and recommendations to executives and discussing technical tradeoffs in product development with engineers. The Pixel team designs and delivers mobile experiences, shaping Pixel devices and services through advanced consumer-electronics designs, techniques, products, and experiences. The work brings together artificial intelligence, software, and hardware to build global smartphones and transformative user experiences. Responsibilities • Manage development of Pixel hardware products and drive the team’s overall execution. • Lead cross-functional teams to meet schedule, system-build milestones, cost, quality, and manufacturability targets. • Drive product-development processes and phase-gate reviews with cross-functional teams. • Lead resolution of key technical issues and communicate project status to stakeholders and leadership. • Interface between joint development partners and cross-functional engineering and operations teams.

🏢 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: Executive leadership role directing the multi-year architecture roadmap and commercialization of future Tensor SoCs and chipsets for battery-powered devices. The position leads a global architecture organization, drives hardware-software innovation for performance, power, and cost, and shapes flagship-device experiences including imaging and on-device GenAI. 🗂️ Requirements: Bachelor’s degree in Electrical Engineering, Computer Science, related field, or equivalent practical experience, 20 years of SoC system architecture and hardware/software co-design experience for battery-powered devices, Track record of driving SoC architecture changes that improve power, performance, or cost, 15 years of people-management experience, Experience leading multiple functional groups or a silicon design/architecture organization, Experience commercializing SoC architecture changes and related software 📃 Skills: SoC, Silicon, Codesign, Architecture, Chipsets, Hardware, Software, Tensor, Power, Performance 🏢 Description: Minimum qualifications • Bachelor's degree in Electrical Engineering, Computer Science, or a related field, or equivalent practical experience. • 20 years of experience in SoC system architecture and hardware/software co-design for battery-powered devices, driving SoC architecture changes for battery-powered devices to achieve improvement in power, performance, or cost. • 15 years of experience in people management, including experience leading multiple functional groups or a silicon design/architecture organization. • Experience with the commercialization of architecture changes (i.e., SoC and related software), not just evaluation and recommendations. Preferred qualifications • Master's degree or PhD in Electrical Engineering, Computer Science, or a related field. • 20 years of experience with silicon system architecture or custom silicon design on process nodes in foundries. • Experience analyzing high-stakes workloads (e.g., GenAI, imaging, computer vision) and defining hardware-software boundaries (e.g., firmware, OS drivers, kernel virtualization). • Excellent change-management and operational leadership skills, with experience driving systemic organizational change or merging large engineering teams across global sites. • Technical knowledge of high-performance coherent fabrics, memory subsystems, and core IPs, including CPU, GPU, TPU, camera, and system security blocks. Description As Senior Director of the Chipset and System-on-a-Chip (SoC) Architecture Team, you will be responsible for exploring, owning, and executing the architecture for future Tensor SoCs and chipsets. You will lead a consolidated organization of full-time employees whose primary mandate is to explore, analyze, and make recommendations on architecture options and innovations for future SoCs and chipsets, including memory architecture and chipsets; identify and drive new system-level features across a cross-functional organization for performance and power optimization of critical user journeys; and ensure all architectural innovations are driven to commercialization. In this role, you will hold decision-making autonomy over SoC and chipset architecture exploration, analysis, recommendations, and commercialization. The role requires the ability to make high-level trade-offs that drive system-level hardware and software innovation. You will directly impact the competitiveness of flagship devices by anticipating technology trends and preparing Tensor architecture for future critical user journeys, particularly imaging, GenAI, and Gemini use cases. You will ensure future silicon generations are optimized for performance, power, and cost, especially for first-party use cases, while preventing costly silicon-area inflation and unproductized hardware blocks. You will direct a geographically distributed, vertically integrated organization across Mountain View, Bangalore, and Taiwan. Responsibilities • Lead the multi-year silicon system architecture roadmap for future Tensor SoCs. • Establish and enforce a directed innovation model in which all hardware and IP innovations have explicit software sponsorship. • Lead and scale a multi-disciplinary, geographically distributed organization of full-time employees across three core pillars. • Provide mentorship, professional development, and strategic management to a team of senior leaders. • Integrate merged organizations and establish clear operational boundaries with implementation and IP core teams. • Collaborate closely to set strict system target boundaries, including chassis, power, limits, and performance, without displacing execution-level block architects. • Serve as the lead technical and strategic liaison to executive leadership.

🏢 Summary: Lead development of core on-device infrastructure for agentic and AI-driven Pixel experiences. The role focuses on Android system services, APIs, IPC, and optimized AI pipelines that deliver privacy-preserving, low-latency features directly to Pixel users. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 5 years of software programming experience, 3 years of experience testing, maintaining, or launching software products, 1 year of software design and architecture experience, 3 years of large-scale systems development or end-to-end Android infrastructure experience 📃 Skills: C++, Java, Python, Go, Android, IPC, APIs, Architecture, Algorithms, AI, MachineLearning 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 5 years of experience with software programming in C++, Java, Python, or Go. • 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 systems or building Android infrastructure end-to-end. Preferred qualifications • Master’s degree or PhD in Computer Science or a related technical field. • 5 years of experience with data structures and algorithms. • 1 year of experience in a technical leadership role. • 1 year of experience in Android development. • Experience developing machine learning, artificial intelligence, or agentic experiences. • Experience with on-device machine learning execution. 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, data storage, security, artificial intelligence, natural language processing, UI design, and mobile. This role is on the Pixel team, which builds system-integrated experiences for Pixel smartphones. The team bridges advanced on-device AI models and the native Android OS to create integrated, intelligent features such as Magic Cue and Pixel Screenshots. You will lead the architecture, design, and implementation of core on-device infrastructure for agentic and AI-driven user experiences. You will build robust system-level frameworks and IPC/APIs that provide rich device context to on-device AI pipelines, enable multimodal intent execution, and interface with native Android platform subsystems. You will collaborate with teams across Pixel Software, Android Platform, and AI/ML to deliver end-to-end features for Pixel users. Responsibilities • Architect and build high-performance on-device infrastructure for intelligent workflows and AI experiences. • Design system services and APIs to collect and process rich, privacy-preserving device context for proactive AI interactions. • Partner with Pixel product teams, Android OS platform engineers, and AI research teams to deliver OS-level integrations and establish scalable system boundaries. • Optimize on-device pipelines for low latency, minimal memory footprint, and high power efficiency.

🏢 Summary: Operations Technician role supporting data center infrastructure through hardware installation, configuration, troubleshooting, repair, and preventive maintenance. The position involves server and network equipment work, physical rack installation, data-security procedures, and shift-based schedules. 🗂️ Requirements: Component-level repair and troubleshooting experience, Operating systems, computer/server hardware, or networking protocols troubleshooting experience, Ability to lift/move 50 lb (23 kg) equipment, Ability to perform frequent bending, kneeling, climbing, pushing/pulling, and lifting, Availability for non-standard hours, weekends, nights, holidays, and shift schedules 📃 Skills: Hardware, Servers, Networking, Protocols, Linux, Routers, Switches, Troubleshooting, Maintenance 🏢 Description: Minimum qualifications • Experience performing component-level repairs and troubleshooting on technical equipment. • Experience diagnosing and troubleshooting operating systems, computer/server hardware, or networking protocols. • Ability to lift/move 50 lb (23 kg) of equipment and exert yourself physically over extended periods, including frequent bending, kneeling, climbing, pushing/pulling, and lifting. • Ability to work non-standard hours, including weekends, night shifts, holidays, and shift-based schedules as required. Preferred qualifications • Bachelor's degree or equivalent practical experience. • Completion of the online Google IT Support Professional Certificate program. • 2 years of experience diagnosing and troubleshooting operating systems, computer/server hardware, or networking protocols. • Experience performing component-level repairs and troubleshooting on IT equipment or in a similar role, such as Systems Administration, Network Deployment Engineer, or Help Desk Technician. • Experience working in a data center or network operations center environment. • Ability to collaborate with teams to overcome challenges and adapt to changes in a dynamic work environment. About the job As an Operations Technician, you will install, configure, test, troubleshoot, and maintain hardware, including servers and their components, as well as server software such as a Linux cluster. You will configure more complex components, including networks, routers, hubs, bridges, switches, and networking protocols. You will participate in or lead small project teams on larger installations and develop project contingency plans. The role includes manual movement and installation of racks and can be physically demanding. Responsibilities • Deploy and operate new data center infrastructure across projects or functions. • Report issues and follow data center procedures to troubleshoot and diagnose straightforward equipment or infrastructure issues, applying the resources needed to resolve identified issues. • Maintain data security and integrity; track media for standard data-security issues, such as data not being properly erased, in accordance with security standards. • Disassemble end-of-life equipment through part replacement or maintenance in a team setting. • Repair, fix, and perform preventive maintenance on equipment, servers, machines, or infrastructure based on identified issues, defined solutions, and limited guidance.