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Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.About Us: At Logitech, we are committed to delivering exceptional audio experiences through innovative products. We are seeking a dedicated and skilled Audio Quality Assurance Engineer to join our development team and ensure the highest audio quality standards for our future audio products.Your Contribution: Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech.Job Description:As an Audio Quality Assurance Engineer, you will drive QA activities for our audio products, ensuring they meet the highest standards of performance and quality. You will play a critical role in the evaluation and validation processes during the development stages. This position requires a keen ear for audio quality, technical expertise, and the ability to collaborate effectively with cross-functional teams.Key Responsibilities:End to End Audio QA activities, including comprehensive manual testing, to validate audio performance.Utilize sophisticated and specialized audio measurement equipment to assess and ensure the quality of our audio systems.Conduct active listening sessions to evaluate the audio quality of our devices and provide detailed feedback.Create detailed test plans and strategies to guide the QA process throughout the product development lifecycle.Schedule, execute, and delegate test runs, ensuring thorough coverage and adherence to timelines.File high-quality bug reports to facilitate efficient debugging and resolution of audio-related issues.Actively manage and triage reported issues, participating in root cause analysis and defect resolution.Use internal development tools to extract logs and other relevant data from systems under test.Collaborate closely with cross-functional teams, including engineers, designers, and product managers, to ensure seamless integration of QA processes.Qualifications:Proven experience in audio quality assurance or a related field in a leading position.Strong understanding of audio measurement and evaluation techniques.Experience with automated testing tools and frameworks.Excellent analytical and problem-solving skills.Exceptional attention to detail and a keen ear for audio quality.Strong communication and collaboration skills.Ability to manage multiple tasks and prioritize effectively.Additional Qualifications:Experience with audio hardware and software development.Familiarity with programming languages and scripting for test automation is a plus.Knowledge of audio codecs, DSP, and related technologies.Why Join Us:Be part of a dynamic team dedicated to creating innovative audio products.Opportunity to work with cutting-edge technology and specialized equipment.Collaborative and inclusive company culture.Competitive salary and benefits package.If you are passionate about audio quality and have the expertise to ensure our products meet the highest standards, we would love to hear from you. Apply today to join our team at Logitech and help shape the future of audio experiences. #LI-MR2Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. The Facility Computer Integrated Manufacturing Department (FDCIM) is part of the Intelligent Manufacturing Center (IMC) at TSMC. It is primarily responsible for the development and maintenance of the following products: Development and maintenance of manufacturing-related report products for wafer fabs.Development and maintenance of engineering-related report products for wafer fabs.Development and maintenance of digital operation system products for facility management.Development and maintenance of big data application system products for facility management.Development and maintenance of facility management AI and machine learning related algorithm development and application system products. Responsibilities: FDCIM also employs software engineering and modular development techniques, combined with high-performance database application technologies, to develop systematized software with a unified version control system that accommodates different time zones and languages globally.In addition to its regular software product development work, FDCIM is also engaged in the research and development of new technologies, including the application of DevOps, Microservices, MLOps, AIOps, and more. Develop and maintain AI/ML systems and algorithmsCollaborate with cross-functional teams to identify and solve business problems using AI/ML techniquesDesign and implement machine learning models and data pipelinesTest and validate AI models for accuracy, scalability, and efficiencyDeploy AI solutions to production environmentsStay up-to-date with the latest advancements in AI technologies and industry trendsWrite clean and efficient code using HTML, CSS, and JavaScriptOptimize web applications for speed and scalabilityTest and debug web applications across multiple browsers and devicesStay up-to-date with the latest front-end development trends and best practices

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade.Advanced Quality System Development (AQSD) is part of TSMC's Intelligent Manufacturing Center (IMC), responsible for three main directions: Use statistical methods and conditional monitoring to inspect fab control charts, providing early warning of abnormal product yields; offer a fab defense system settings comparison platform to check that machines meet the internal control anomaly conditions set by the engineering department.Develop online fab analysis platforms through Big Data, Machine Learning, and Deep Learning techniques for online yield/defect analysis to ensure the quality of wafers produced in the fab.Develop systems and provide logical operations to control and implement escape mechanisms for material batch changes, measurement stages, and inspection stages, ensuring quality and optimizing product sampling rules. Responsibilities: Apply machine learning/optimization algorithm to build up models for optimizing semiconductor production.Develop analysis and optimization methods to enhance product quality, increase tool productivity and improve people productivity.Design, develop and test prediction models with real applications in manufacturing.Build a flexible framework to speed up the development process of AI models, with a focus on Large Language Models (LLMs) serving.Turn exciting AI prototypes/ideas into products, leveraging LLMs and other advanced AI technologies.Develop next-generation AI backend systems related to large-scale real-time data access, collection, analytics and monitoring.Establish and maintain MLops processes and tools, including model deployment, monitoring, and automation.Continuously improve the quality of AI production systems, particularly those utilizing LLMs.

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. As an AI/ML Engineer, you will be a key member of a versatile team focusing on both algorithm development and platform implementation for TSMC’s RD, Fab, Business, IT, and Security functions to improve productivity and work quality. The role involves developing AI/ML solutions, implementing scalable platforms to support AI productionization, and maintaining the lifecycle of machine learning models. Responsibility:Common Responsibilities1. Collaborate with cross-functional teams of data scientists, ML engineers, and software developers. 2. Drive the complete AI solution development stages from data collection, exploration, and feature engineering to model evaluation and error analysis.3. Perform model lifecycle management to ensure the validity of models in production. 4. Exercise sound judgment in determining if business problems can be addressed through AI/ML and communicate results effectively to domain users. 5. Operate and maintain scalable, highly available AI platforms with continuous measurement and quality improvement to meet SLO/SLAs. Differentiated Responsibilities1. AI/ML Solution Development(1) Develop AI/ML algorithms that optimize manufacturing processes, improving productivity and work quality. (2) Explain AI/ML models to internal customers and conduct error analysis.2. AI Platform Development (1) Design and implement full tech stack solutions, including data-related technologies and AI platforms.(2) Develop tools, automation, and microservices to extend platform capabilities. (3) Manage container-based workloads and process high volumes of data in environments like Kubernetes.Additional information for the job: Job Location: Hsinchu Site, Taipei Office (Experienced only)On-call needs: On-call 1 week every 3 months The complete interview process includes:1. Manager interview2. Hackerrank test3. On-site personality and English test(which could be replaced if you have script of officially English test) 4. HR interview5. Second manager interview (Optional assessment)6. Technical review (Optional assessment)

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. The Intelligent Process Control Systems Department (IPCS) in TSMC's Intelligent Manufacturing Center (IMC) assists fabs in analyzing process issues. By employing techniques such as experimental design, statistical analysis, optimization algorithms, and machine learning, the department establishes R2R (Run-to-Run) process control models. Subsequently, in collaboration with the system development team, an automated control platform is established and rolled out across various fab zones. This integration aims to enhance staff efficiency and improve overall product quality. Responsibilities: By employing methods such as control system development, algorithm design, and control performance diagnostics, we provide advanced control systems for the semiconductor industry.We use machine learning and optimization algorithms to build models that deliver solutions meeting the needs of the fab zones.We establish automated platforms that utilize techniques such as machine learning and AI for automatic parameter optimization, which reduces staff workload and enhances quality.In collaboration with the system development team, we systematically implement and roll out innovative methods or improvements across various fab zones to boost staff efficiency and product quality.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in C++. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, technical related field, or equivalent practical experience. 2 years of experience with data structures and algorithms. Experience in camera system design, including Image Signal Processor (ISP) drivers, color science, algorithms in image/video processing, system performance and power. Experience with design, debugging, performance and parallel design of the multiple-cameras system. Knowledge of camera hardware and processes. Excellent teamwork and communication skills. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.Responsibilities Manage pixel camera system software development, and camera software stack to support Android camera Hardware Abstraction Layer. Support camera hardware driver development, testing, and validation on emulations and silicons. Manage pixel camera system software performance, power and memory optimization, and camera software and driver bring-up silicons. Develop machine learning and computer algorithm integration, ambient, and computing. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience. 5 years of experience in coding with a general purpose programming language (e.g., C/C++), Wireless Communications, Mobile, and Embedded Systems. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience. 3 years of experience with embedded Linux and device drivers. Experience in developing modem Layer 1 test cases. Experience with modem LTE/NR L1 development and optimization. Knowledge in various LTE/NR L1 domain fields, including tuner, SAR, DSDS, FR2, antenna switch, cell search, TX/RX, or cell measurement. Understanding of 3GPP LTE/NR Layer 1 standards. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.Responsibilities Work with cross-teams for modem layer 1 (L1) software development and optimization. Validate and optimize the algorithms of layer 1 features/functions by building the simulation environment and optimizing legacy algorithms. Debug, analyze, and fix modem layer 1 issues from factory, certification (e.g., GCF/PTCRB/IOT), field testing, and customers. Contribute to L1 design optimization, including early feature enablement and verification, algorithm tuning, and optimization. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

For New Taipei City and Zhubei candidates: Google welcomes people with disabilities.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New Taipei, Banqiao District, New Taipei City, Taiwan; Zhubei, Zhubei City, Hsinchu County, Taiwan.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience. 4 years of experience in multimedia technologies, including imaging pipelines in silicon development. 1 year of experience in machine learning on hardware acceleration. Preferred qualifications: PhD in Computer Science, Electrical Engineering, or a related field. 5 years of experience in multimedia technologies, including imaging and pipeline in silicon development. 3 years of experience in machine learning hardware architecture and software infrastructure. Experience developing hardware IP or system level silicon architecture plan. Understanding of machine learning or image/video/display processing algorithms for photography applications. About the jobBe part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will design and build the hardware, software and networking technologies that power all of Google's services. You will design and build the systems that are important in the world's largest computing infrastructure. You develop from the levels of circuit design to large system design and see those systems all the way through to volume manufacturing. Your work has the potential to shape the machinery that goes into our data centers affecting millions of Google users. You will develop new hardware architectures for hardware-accelerated image/video/display use cases. You will work on topics that span areas of image processing, digital imaging, computer vision, computational photography, and machine intelligence. You will develop and specify optimized architectures for current and future generation products. You will also collaborate with stakeholders to build and test the best hardware architectures to process images/videos/display for applications including digital photography and machine intelligence.Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.Responsibilities Design and develop multimedia systems relevant to imaging, video, and display pipelines for hardware implementations. Evaluate the architectural design and algorithms for digital photography, computer vision, machine intelligence scenarios. Design, define and specify computer vision and image and video processing Internet Protocol (IP). Author hardware specifications for efficient and practical implementation. Collaborate with other architects to create optimized and innovative solutions including video, image processing and machine intelligence experiences. Work with a variety of stakeholders, including product managers, algorithm developers, and software teams to create immersive and engaging user experiences. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 5 years of experience in program management. Experience with hardware/software interactions within consumer devices. Experience with embedded systems. Preferred qualifications: 5 years of experience managing cross-functional or cross-team projects. Experience working on mobile or wearable devices (hardware and software) and embedded software and experience partnering with internal and external hardware and software vendor resources. Experience in developing new processes, and the ability to be flexible and willing to help teams get organized. Experience in Consumer Devices Hardware, Machine Learning, Audio or Engineering. About the jobA problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company. As a Technical Program Manager focused on audio algorithms, you will ensure an engineering team is operating smoothly. You will work with engineers, product managers, contract manufacturers and Original Device Manufacturer (ODM)/OEMs to get quality products built, tested and released on time. You will bridge the gap between critical technologies and the top-level system, coordinating many moving parts that come together as a product. You possess excellent communication skills and can answer all questions about schedules, quality and progress updates. You are responsible for identifying and managing risks, making decisions about quality, and stopping (or speeding up) production at the right time.Googles mission is to organize the worlds information and make it universally accessible and useful. Our Devices Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our users interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices Services team is making peoples lives better through technology.Responsibilities Partner with Audio engineers, UX researchers, product managers and a broad cross-functional team to manage the development and validation of Audio algorithms used on Pixel products. Interface with engineers across both hardware and software, estimate work efforts, define milestones and manage resources. Track progress, resolve dependencies, evaluate risks and communicate status to the management and project stakeholders. Help the team overcome challenges to maintain progress. Identify communication gaps, manage issue escalations and provide support to teams balancing engaging priorities. Understand technical implementation at the architecture level and propose technical alternatives when necessary. Ask questions that clarify priorities. Develop broad domain and technical knowledge. Establish clear processes to help improve execution, identify systemic problems, recommend solutions, clarify roles and responsibilities for core teams involved in algorithm development. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.The Team and Role:Logitech’s AI/ML Technology Development Team is driving the creation of groundbreaking video processing and machine learning solutions for consumer applications. We are seeking a highly motivated Data Engineer to play a pivotal role in the success of our AI/ML workflows by designing robust data systems and processes to support cutting-edge algorithm development.In this role, you will focus on the efficient assembly, annotation, and organization of datasets that serve as the foundation for our AI/ML algorithms and video processing pipelines. By building scalable data infrastructure and integrating closely with AI/ML Engineers, you will help ensure that our AI solutions are trained and deployed with the highest-quality data available. Your contributions will enable the development and fine-tuning of world-class human and machine vision technologies, shaping the next generation of Logitech products.Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech. In this role you will:Curate High-Quality Datasets: Collaborate with stakeholders to gather large-scale, domain-relevant video and image datasets critical for AI/ML development.Develop Data Annotation Processes: Establish workflows for effective data labeling (e.g., ground truths) to enable accurate training and testing of machine learning models.Catalog and Structure Data: Implement and maintain metadata standards to organize datasets, ensuring easy access, traceability, and proper data governance for AI/ML usage.Integrate with AI/ML Workflows: Partner with AI/ML Engineers to design data pipelines that support model training, optimization, and deployment on embedded platforms and host systems.Automate and Optimize Data Workflows: Build tools and automated processes to enhance data ingestion, labeling, and cataloging for scalability and reliability.Ensure Data Quality: Monitor and enforce data integrity, consistency, and security across the entire data lifecycle.Key Qualifications:For consideration, you must bring the following minimum skills and experiences to our team:3 years of experience as a Data Engineer or in a related role focused on managing large-scale datasets, particularly for AI/ML or video processing applications.Strong programming skills in Python and SQL for developing automated pipelines and data workflows.Prior experience with data labeling tools and techniques (e.g., Labelbox, Supervisely, or custom solutions).Knowledge of metadata design and database management to support efficient data access and cataloging.Hands-on experience with cloud platforms such as AWS, GCP, or Azure for data processing and storage.Solid understanding of AI/ML data requirements, including how labeled and structured data impacts algorithm performance.Familiarity with version control and best practices for dataset management in collaborative environments.Preferred Qualifications:Education:Bachelors degree in Computer Science, Data Engineering, or a related discipline.A Masters degree or specialization in Data Engineering, AI/ML, or Big Data is a plus. #LI-SL1Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.