Siliconware Precision Industries Co., Ltd._矽品精密工業股份有限公司
About the Role Join our dynamic engineering team in a hands-on technical position focused on advanced manufacturing equipment maintenance and optimization. This role operates within structured on-site schedules and shift rotations, perfect for detail-oriented professionals who excel in stable, process-driven environments while steadily building valuable technical expertise in semiconductor manufacturing. Key Responsibilities Perform comprehensive machine acceptance procedures, including new product introduction (NPI) setup and verification of component replacements Execute scheduled preventive maintenance protocols in accordance with established standard procedures, including semi-annual and annual maintenance cycles Diagnose and troubleshoot equipment alarms and operational anomalies to minimize production downtime and ensure optimal equipment performance Conduct precise parameter fine-tuning across identical equipment models to enhance overall manufacturing performance and consistency Actively support and execute fan-out improvement projects with specific focus on yield optimization and process enhancement initiatives Maintain equipment computer systems in full compliance with corporate IT security policies and protocols Collaborate with cross-functional teams to identify and implement continuous improvement opportunities Document all maintenance activities, equipment issues, and resolution procedures for knowledge sharing and compliance purposes Participate in equipment qualification and validation activities for new installations and upgrades Undertake additional technical tasks and responsibilities as assigned by supervisors Requirements Education & Experience Bachelor's or Master's degree in Science, Technology, Engineering, or Mathematics (STEM) fields No prior work experience required - comprehensive long-term training program provided to develop engineering and technical expertise Language Skills Proficient English communication skills required (TOEIC score of 400 or above with supporting documentation) Basic Mandarin language ability strongly preferred Technical Competencies Strong analytical and problem-solving abilities Attention to detail and ability to work with precision in technical environments Comfort with computer systems and willingness to learn specialized manufacturing software Mechanical aptitude and interest in equipment maintenance procedures Work Schedule Requirements Must be available for rotating day and night shifts (Day: 07:00-19:00, Night: 19:00-07:00) Shift rotations occur every 3 to 6 months Flexibility for overtime work highly preferred (typical schedule: three days on duty, one day off) Commitment to on-site work environment and adherence to safety protocols Location Position based in Taiwan, Taichung/Changhua region Benefits & Support Competitive compensation package commensurate with experience and qualifications Comprehensive technical training program designed to build engineering expertise over time Career development opportunities within a growing technology organization Support for overseas Chinese students who are graduates in Taiwan, including assistance with work permit applications and accommodation arrangements Stable work environment with clear processes and advancement potential Opportunity to work with cutting-edge manufacturing equipment and technologies This position offers an excellent entry point into the semiconductor manufacturing industry for recent graduates and career changers seeking technical expertise development in a structured, supportive environment.
Siliconware Precision Industries Co., Ltd._矽品精密工業股份有限公司
About the Role Join our engineering team as a Process Engineer in a dynamic semiconductor manufacturing environment. This on-site position operates according to established shift schedules and is perfectly suited for individuals who excel at executing within stable processes and well-defined procedures while steadily building professional value. We welcome graduates in Taiwan who are overseas Chinese students and provide comprehensive support including work permit applications and accommodation arrangements. Key Responsibilities Parameter Verification & Validation: Verify critical parameters including PPID upload processes and validate post-value data against established platform specifications to ensure compliance with quality standards DOE Execution: Execute Design of Experiments (DOE) plans involving parameter adjustments and jig changes while systematically collecting post-value data for analysis Data Analysis & Benchmarking: Check post-value data thoroughly and benchmark results against Best Known Methods (BKM) to maintain process excellence Quality Assurance: Perform comprehensive quality buy-off procedures following machine modifications to ensure operational integrity Problem Resolution: Analyze technical issues through DRB mapping methodologies and provide critical support for root cause identification initiatives Process Enhancement: Support continuous process improvement initiatives and collect fan-out data for comprehensive evaluation and optimization Documentation: Maintain accurate records of all processes, modifications, and results in accordance with company standards Compliance: Ensure all activities comply with safety protocols, quality standards, and regulatory requirements Collaboration: Work effectively with cross-functional teams including production, quality assurance, and maintenance departments Requirements Education: Bachelor's degree in Engineering, Industrial Technology, Mechanical Engineering, or related technical field Language Skills: Proficient English (TOEIC score of 400 or above with supporting documentation required before interview); Basic Mandarin language capability preferred Experience: No prior work experience required - comprehensive long-term training provided to develop engineering and technical expertise Shift Work: Must be able to cooperate with rotating day and night shifts, with shift changes occurring every 3 to 6 months Schedule Flexibility: Ability to work day shift (07:00-19:00) and night shift (19:00-07:00) on a rotating basis Overtime Availability: Candidates who can cooperate with overtime work are preferred (typically three days on duty followed by one day off) Technical Aptitude: Strong analytical and problem-solving skills with attention to detail Adaptability: Ability to learn new processes quickly and adapt to changing technical requirements Work Environment & Benefits Location: Taiwan, Taichung/Changhua region Schedule: Full-time position with rotating shift work Training: Comprehensive long-term professional development program focused on engineering and technical expertise Career Development: Opportunity to build valuable professional skills in semiconductor manufacturing Support Services: For eligible overseas Chinese students graduating in Taiwan, assistance provided with work permit applications and accommodation arrangements Competitive Compensation: Attractive salary package commensurate with experience and qualifications This role offers an excellent opportunity for engineering graduates to begin their careers in the semiconductor industry with comprehensive training and support while contributing to critical manufacturing processes in a stable, professional environment.
Siliconware Precision Industries Co., Ltd._矽品精密工業股份有限公司
Manufacturing Equipment Technician - Taiwan Semiconductor Operations About the Role We are seeking dedicated Manufacturing Equipment Technicians to join our semiconductor manufacturing operations in Taiwan. This on-site position operates according to structured tempo and shift schedules, perfectly suited for individuals who excel at executing within stable processes and well-defined operational frameworks while steadily building professional value in the high-tech manufacturing sector. Key Responsibilities Equipment Operations & Maintenance: Follow standard operating procedures to modify manufacturing equipment and machinery on a repeated, systematic basis Component Management: Execute standard protocols for replacing machine parts and components according to established maintenance schedules Preventive Maintenance: Perform comprehensive maintenance tasks including daily, weekly, monthly, and quarterly maintenance routines to ensure optimal equipment performance Troubleshooting & Problem Resolution: Handle equipment alarms, respond to abnormal machine behaviors, and implement corrective actions according to established protocols Process Documentation: Maintain accurate records of equipment performance, maintenance activities, and operational parameters Quality Assurance: Monitor equipment output to ensure manufacturing standards and quality specifications are consistently met Safety Compliance: Adhere to all safety protocols and procedures while working with sophisticated manufacturing equipment Continuous Improvement: Participate in process optimization initiatives and contribute to operational efficiency improvements Requirements Education & Experience Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) field No prior work experience required - comprehensive long-term training provided to develop engineering and technical expertise Fresh graduates and entry-level candidates are encouraged to apply Language Skills English proficiency required (minimum TOEIC score of 400 or above) Basic Mandarin language ability preferred Relevant language certification documents must be provided before interview Work Schedule Flexibility Must be available for rotating day and night shifts (Day: 07:00-19:00, Night: 19:00-07:00) Shift rotation occurs every 3 to 6 months Ability to work overtime is preferred (typical schedule: three days on duty, one day off) Commitment to maintaining consistent attendance and reliability Personal Attributes Strong attention to detail and ability to follow precise procedures Excellent problem-solving skills and technical aptitude Ability to work effectively in a fast-paced manufacturing environment Team-oriented mindset with strong communication skills Benefits & Support Comprehensive Training Program: Extensive long-term training provided to develop specialized engineering and technical expertise in semiconductor manufacturing Career Development: Opportunities for professional growth within a stable, well-established manufacturing environment International Support: Special assistance available for overseas Chinese students who are graduates in Taiwan, including work permit application support and accommodation arrangement assistance Competitive Compensation: Attractive salary package commensurate with qualifications and experience Location Taiwan - Taichung/Changhua region (in-person work location required) This position offers an excellent opportunity to begin or advance your career in the semiconductor manufacturing industry while developing valuable technical skills in a structured, supportive environment.
Aalto University
About the Role Join Aalto University's Department of Electrical Engineering and Automation as a Postdoctoral Researcher in Socially Aware Autonomy, focusing on pedestrian intention prediction, communication, and real-time risk estimation. This position offers an exceptional opportunity to advance cutting-edge research in predictive, human-aware autonomy for industrial vehicles and robots operating in human-populated environments. Working within the Mobile Robotics Group under the supervision of Assistant Professor Tomasz Kucner and Professor Simo Särkkä, you will lead groundbreaking research that bridges the gap between autonomous systems and human safety. Your work will directly contribute to safer, more efficient interactions between autonomous machines and pedestrians in urban and industrial settings. Key Responsibilities Lead research initiatives in socially aware autonomous systems, developing novel approaches to human-machine interaction in dynamic environments Develop and implement advanced pedestrian intention prediction algorithms and trajectory forecasting models that enable proactive safety measures Design human-machine communication protocols that enhance action legibility and improve trust between autonomous systems and human operators Create real-time risk estimation frameworks that enable autonomous vehicles and robots to assess and mitigate potential hazards dynamically Integrate perception and prediction capabilities with robust sensor fusion and distributed computation systems, collaborating closely with the Sensor Informatics and Medical Technology Group Publish high-quality research in top-tier conferences and journals, contributing to the global knowledge base in autonomous systems Develop and maintain codebases that support research reproducibility and enable technology transfer to industrial applications Create compelling demonstrations that showcase research outcomes and validate approaches in realistic scenarios Collaborate with industry partners to translate research findings into practically deployable solutions for logistics, ports, mining, and tunneling applications Contribute to project milestone achievements and participate in dissemination activities including stakeholder events and technology showcases Mentor junior researchers and students, fostering the next generation of experts in socially aware autonomy Participate in international collaborations and research exchanges to advance the field globally Requirements PhD degree in robotics, computer science, electrical engineering, or closely related field Demonstrated expertise in socially aware autonomy, human intention prediction, and real-time risk assessment for human-robot or vehicle-pedestrian interaction scenarios Strong technical background in machine learning and probabilistic modeling specifically applied to motion prediction and behavioral analysis Proven experience with temporal deep learning models and multimodal perception systems for understanding human behavior Publication record demonstrating contributions to autonomous systems, human-robot interaction, or related fields Programming proficiency in relevant languages such as Python, C++, or similar, with experience in machine learning frameworks Experience with real-time systems and understanding of computational constraints in autonomous applications Knowledge of sensor technologies and data fusion techniques commonly used in autonomous vehicles and robotic systems Strong analytical and problem-solving skills with ability to work independently on complex technical challenges Excellent communication skills and demonstrated ability to collaborate effectively with multidisciplinary teams Experience coordinating with academic and industry partners on research projects Preferred Qualifications Experience deploying machine learning models on edge devices or embedded systems Background in safety-critical system design and validation Familiarity with industrial automation environments Previous work in autonomous vehicle development or mobile robotics What We Offer Engagement with leading experts in robust estimation and predictive autonomy within a world-renowned research environment International collaboration opportunities with options for targeted research exchanges and conference participation Direct industrial impact through close collaboration with industry stakeholders in safety-critical domains Access to state-of-the-art facilities and computational resources at Aalto University Professional development support including training opportunities and career advancement pathways Comprehensive benefits package including occupational health care and access to Finland's extensive social security system Competitive compensation commensurate with experience and qualifications Work-life balance in Finland's consistently top-ranked quality of life environment Diverse and inclusive workplace that actively promotes equality and international collaboration This 2.5-year position offers the potential for extension based on performance and funding availability. The starting date is flexible around June 2026, with discussions welcome to accommodate mutual scheduling needs. About Aalto University Aalto University represents the convergence
Micron
About the Role Join Micron Technology as a Tool Engineer and play a critical role in advancing semiconductor manufacturing excellence. Our vision is to transform how the world uses information to enrich life for all. As a world leader in innovating memory and storage solutions, Micron accelerates the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. In this position, you will be responsible for optimizing semiconductor manufacturing equipment performance, implementing cutting-edge tool technologies, and ensuring operational excellence across our production facilities. You'll work with state-of-the-art equipment while contributing to the development of innovative memory and storage solutions that power the global data economy. Key Responsibilities Equipment Optimization: Establish and continuously improve tool condition monitoring systems and implement advanced manufacturing technologies to enhance production efficiency Performance Enhancement: Upgrade tool capabilities and systematically reduce equipment alarm ratios through proactive maintenance strategies and predictive analytics Project Management: Establish, modify, and oversee comprehensive tool management projects from conception through implementation Parameter Configuration: Set up and optimize tool parameters for a diverse range of semiconductor manufacturing equipment, ensuring optimal performance across various process nodes Technology Evaluation: Lead evaluation, promotion, and strategic planning initiatives for new equipment and advanced materials integration Problem Resolution: Conduct thorough abnormal condition analysis and implement sustainable improvement solutions to minimize downtime and maximize yield Process Documentation: Develop and maintain detailed standard operating procedures, troubleshooting guides, and equipment specifications Cross-functional Collaboration: Partner with process engineers, production teams, and equipment vendors to drive continuous improvement initiatives Data Analysis: Utilize statistical analysis tools and methodologies to monitor equipment performance trends and identify optimization opportunities Training and Mentorship: Provide technical guidance and knowledge transfer to junior engineers and production staff Requirements Bachelor's degree in Electrical Engineering, Mechanical Engineering, Materials Science, or related technical field Strong understanding of semiconductor manufacturing processes and equipment operations Experience with semiconductor fabrication tools such as lithography, etching, deposition, or metrology equipment Proficiency in statistical analysis software and data visualization tools Knowledge of process control methodologies and Six Sigma principles Excellent problem-solving skills and analytical thinking capabilities Strong communication skills with ability to present technical findings to diverse audiences Experience with equipment automation and control systems Understanding of cleanroom protocols and semiconductor safety standards Ability to work effectively in fast-paced, high-volume manufacturing environments About Micron Technology We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. Equal Opportunity Employment All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Micron prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment.