ASMLCompetence Engineer
任职要求
Bachelor’s, Master’s or PhD degree in one of the following competences: Electrical Engineering Mechanical Engineering Mechatronics, Robotics, Systems and Control Applied Physics Skills Working at the cutting edge of tech, you’ll always have new challenges and new problems to solve – and working together is the only way to do that. You won’t work in a silo. Instead, you’ll be part of a creative, dynamic work environment where you’ll collaborate with supportive colleagues. There is always space for creative and unique points of view. You’ll have the flexibility and trust to choose how best to tackle tasks and solve problems. To thrive in this job, you will need the following skills: Generalist mindset, eager to tackle unknown problems and work in multidisciplinary teams. Ability to diagnose and understand engineering principles of ASML scanner parts and modules. Creative, inventive, and able to develop solutions in ambiguous environments. Pioneering, self-driven, and pragmatic approach. Broad knowledge of customer operations. Strong communication and stakeholder management skills. Initiative, drive for improvement, and team-oriented attitude. Fluency in English & Chinese preferred. For working in the different ASML competence domains, you will need at least robust skills in one of the areas below. Electronics Strong knowledge in electronics domain like mains, safety, power, high voltage and EMC. Knowledge of system wide interconnectivity like cables, dynamic links, cabinets and feedthroughs. Knowledge of…
工作职责
Role and responsibilities Engineer and implement hardware and/or software solutions for complex part or module failures and other system issues in the China install base. Collaborate with local part supply centers (LPSC), strategic sourcing & procurement (SS&P), and Customer Support sectors. Interface with other ASML development and D&E Field teams to exchange knowledge and solutions. Provide 4th line support to regional technical teams. Contribute to building trust between ASML and our customers.
Role and responsibilities Engineer and implement hardware and/or software solutions for complex part or module failures and other system issues in the China install base. Collaborate with local part supply centers (LPSC), strategic sourcing & procurement (SS&P), and Customer Support sectors. Interface with other ASML development and D&E Field teams to exchange knowledge and solutions. Provide 4th line support to regional technical teams. Contribute to building trust between ASML and our customers.
Join Siemens Digital Industries for the world of tomorrow! Siemens Digital Industries (DI) is an innovator in industrial automation and digitalization. We seamlessly connect the physical and digital worlds with our Digital Enterprise solutions, with the help of a comprehensive "digital twin" for continuous cycle optimization. At the same time, we leverage unlimited data to empower unlimited opportunities for fast and confident decision-making, injecting acceleration into the transformation and sustainable development of industrial enterprises. You'll make an impact by 1. AI Product Strategy Planning & Execution Lead the development of industrial AI product strategies, integrating industry trends, customer needs, and the company’s technical capabilities to ensure alignment with the organization’s overall business objectives. 2. Cross-Domain Collaboration & Ecosystem Building Bridge AI innovation with business execution by collaborating deeply with internal experts from Siemens Technology and Digital Industries Software to integrate internal and external resources, accelerating the transformation of cutting-edge technologies into market-ready solutions. 3. Customer Insight & Solution Validation • Lead in-depth customer requirement mining (technical needs + business pain points); • Oversee end-to-end validation of AI solutions (requirement analysis → model development → PoC deployment), ensuring technical feasibility and quantifiable business value. 4. End-to-End AI Productization Management • Drive the full journey of AI products, from 0-to-1 (concept incubation) to 1-to-N (scaled deployment). Coordinate algorithm development, engineering execution, and customer delivery, balancing technological innovation with engineering practicality. • Collaborate with R&D, testing, and operations teams to champion standardized, modular product designs, improving reusability and elevating customer experience.