Company:Qualcomm Semiconductor Limited Job Area:Engineering Group, Engineering Group > Hardware Engineering General Summary: Drives the vision, strategy, architecture, and execution of enterprise-scale Machine Learning, …
Skills: Machine Learning, Data Analytics, AI Strategy, Data Governance, Generative AI
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your p…
Company:Qualcomm Semiconductor Limited Job Area:Engineering Group, Engineering Group > Hardware Engineering General Summary: Drives the vision, strategy, architecture, and execution of enterprise-scale Machine Learning, …
Skills: Machine Learning, Data Analytics, Data Governance, AI Strategy, Generative AI
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Company:Qualcomm Communication Technologies Ltd. Job Area:Engineering Group, Engineering Group > Hardware Engineering General Summary: Job Description As a leading technology innovator, Qualcomm pushes the boundaries of …
Company:Qualcomm Communication Technologies Ltd. Job Area:Engineering Group, Engineering Group > Hardware Engineering General Summary: Job Description As a leading technology innovator, Qualcomm pushes the boundaries of …
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software e…
Skills: Business Development, Cloud Computing, SaaS, Go-to-market Strategy, Program Management
Company:Qualcomm Communication Technologies Ltd. Job Area:Engineering Group, Engineering Group > Hardware Engineering General Summary: Job Description As a leading technology innovator, Qualcomm pushes the boundaries of …
Step into a career with ASM, where cutting edge technology meets collaborative culture. For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more…
We are a leading company in the wireless broadband communications industry looking for talented professionals with a winning attitude. Job Description 1. 跨部門與外部利害關係人溝通 • 擔任實驗室 / 電信商 / 客戶認證團隊 / WNC 內部功能單位的 Main POC,建立並維持高…
We are a leading company in the wireless broadband communications industry looking for talented professionals with a winning attitude. Job Description 1. 系統整合領導 - 領導車用電子5G cellular module、WiFi connectivity module及telemat…
We are a leading company in the wireless broadband communications industry looking for talented professionals with a winning attitude. Job Description 1.專利全生命週期管理(IP Lifecycle Management) -負責專利申請、領證、維護及年費管理之行政程序。 -管制專利事務…
Skills: IP Lifecycle Management, Legal Operations, Corporate Governance, Data Analytics, System Optimization
Principal Member of the Technical Staff - IP Engineering
Hsinchu, Taiwan · On-site
Senior+$5.2B raised
About GlobalFoundries GlobalFoundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology c…
We are a leading company in the wireless broadband communications industry looking for talented professionals with a winning attitude. Job Description 統籌執行亞洲區員工離退與留停作業,確保合規、流程執行完善且資料確實。 分析流程交易紀錄,持續優化流程 統整使用需求,彙整分析HR數據,設計…
Skills: Analytical Processes, Communication, Hr Digital Skills, Hr Shared Services, Human Resource Information Systems (HRIS)
Principal Member of the Technical Staff - IP Engineering
Hsinchu, Taiwan · On-site
Senior+$5.2B raised
About GlobalFoundries GlobalFoundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology c…
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: Physical Design, ASIC Implementation, RTL to GDSII, Synthesis, Floorplanning
We are a leading company in the wireless broadband communications industry looking for talented professionals with a winning attitude. Job Description 1.產品規劃與管理: -分析市場趨勢與競爭對手,制定產品策略與產品藍圖建議提供管理階層審查決議。 -定義產品需求,撰寫新產品開發計畫書,確…
Skills: Agile Product Management, Business Process Modeling, Business Requirements, Commercialization, Cross-Functional Collaboration
About GlobalFoundries GlobalFoundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology c…
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Full-time
bachelor degree, postgraduate degree
Posted 34d ago
~40 hrs/week
Responsibilities
Drives the vision and execution of enterprise-scale AI, machine learning, and data analytics solutions to improve engineering productivity and business decision-making. Leads large-scale transformations and establishes global roadmaps for data ecosystems and governance frameworks.
Requirements
Requires a degree in Computer Science, Engineering, or a related field with 8 to 12+ years of experience depending on the degree level. Must have at least 5 years of leadership experience managing managers or large cross-functional organizations.
Full job description
Company:
Qualcomm Semiconductor Limited
Job Area:
Engineering Group, Engineering Group > Hardware Engineering
General Summary:
Drives the vision, strategy, architecture, and execution of enterprise-scale Machine Learning, Data Analytics, Data Governance, AI solutions and Engineering Productivity Tool initiatives. Is responsible for the development of scalable AI/ML platforms, data ecosystems, governance frameworks, analytics solutions, and software tools that accelerate engineering productivity, improve business decision-making, and enable data-driven innovation across the organization.
Develops and executes long-term strategies for Global AI adoption, advanced analytics, data infrastructure, and governance capabilities. Collaborates with engineering, operations, IT, quality, reliability, business groups, and executive leadership to transform data into actionable insights and scalable solutions. Coordinates and oversees the adoption of enterprise platforms, intelligent workflows, predictive analytics, AI-powered applications, and governance frameworks that improve efficiency, quality, velocity, and business outcomes.
The responsibilities of this role include:
Working in alignment to leadership’s priorities, vision and strategies with minimal executive oversight.
Providing supervision to managers and senior technical leaders who may be direct reports.
Making decisions in alignment with global leadership that have significant organizational, operational, financial, and strategic impact across multiple functions and geographies.
Influencing global organizational strategy, technology direction, and business priorities through data-driven insights and technical leadership.
Communicating highly complex technical, business, and organizational concepts to executives, customers, partners, and engineering organizations.
Leading large-scale transformations related to AI, machine learning, data management, governance, automation, and engineering productivity.
Establishing long-term global roadmaps and investment strategies for AI platforms, analytics frameworks, data ecosystems, and software tooling.
Driving innovation through the application of machine learning, generative AI, predictive analytics, workflow automation, and intelligent decision-support systems.
Defining governance models, policies, standards, and best practices for data quality, security, responsible AI, compliance, access control, and lifecycle management.
Using advanced analytical thinking, systems-level problem solving, and strategic planning to address highly ambiguous business and technical challenges.
Additional Responsibilities May Include
Developing enterprise AI strategy and governance frameworks.
Driving adoption of Generative AI, Agentic AI, Knowledge Management, and Intelligent Automation solutions.
Developing enterprise data lake, warehouse, semantic layer, and analytics architectures in collaboration with IT and Knowledge teams.
Leading digital transformation initiatives involving cloud platforms, data platforms, MLOps, and DataOps.
Creating metrics and value frameworks to measure business impact from AI and analytics investments.
Defining enterprise standards for AI model lifecycle management, governance, security, and compliance.
Minimum Qualifications
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Information Systems, or related technical field.
12+ years of experience in Machine Learning, Data Analytics, Software Engineering, Data Engineering, AI Platforms, or related disciplines.
5+ years of leadership experience managing managers, technical leaders, or large cross-functional organizations.
OR
Master's degree in Computer Science, Data Science, Engineering, Statistics, Artificial Intelligence, or related field and 10+ years of relevant experience.
OR
PhD in Artificial Intelligence, Machine Learning, Computer Science, Engineering, Statistics, or related field and 8+ years of relevant experience.
Preferred Qualifications
Experience leading enterprise-scale AI/ML and advanced analytics programs.
Experience with cloud and big data platforms such as Databricks, Snowflake, AWS, Azure, GCP, or similar technologies.
Knowledge of MLOps, DataOps, platform engineering, and enterprise data governance frameworks.
Proven ability to lead large-scale organizational transformation initiatives.
Strong understanding of data privacy, security, compliance, and responsible AI principles.
Experience operating in highly technical engineering organizations supporting product development and manufacturing operations.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 8+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 7+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience.
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
Inspired by 250 years of American ingenuity, we build technologies that expand what’s possible. From wireless to AI at scale and 6G, our innovations power progress worldwide.
Offices: Qualcomm, San Diego, CA 92121, US · 2 Whitefield Road, Bengaluru, Karnataka 560066, IN · Hitech City Road, Hyderabad, TS 500081, IN
SemiconductorsWirelessMobileNetworkingWi-FiSmall CellsWireless PowerAugmented RealityLocation ServicesInternet of Things
How many Management & Leadership jobs are open in Hsinchu, Taiwan right now?
There are currently 199 open management & leadership positions in Hsinchu, Taiwan listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Management & Leadership roles in Hsinchu, Taiwan?
Companies currently hiring include Applied Materials, WNC Corporation, Lam Research, Qualcomm, ASML, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Management & Leadership jobs in Hsinchu, Taiwan?
Yes — 23 of the 199 open management & leadership positions offer remote or hybrid work (0 remote, 23 hybrid).
How do I apply for Management & Leadership jobs in Hsinchu, Taiwan?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.