TSMC
The increased necessity of streamlining forces companies to apply new methods for maintenance organisation with a view to improving production efficiency. The experts from TSMC Production & Maintenance Consultants will work with you to chart your company. TSMC offers expert services founded on a combination of practical expertise and theoretical knowledge on maintenance and production efficiency. TSMC specialises in maintenance management and has wide experience in: Benchmark studies supported by "The International Study of Plant Reliability and Maintenance Effectiveness (RAM Study)"—a performance study from Solomon Associates Implementing computerised maintenance management systems (CMMS) Development and implementation of policies and strategies for maintenance Stock management, Registration of production efficiency and improvement of production results Preventive Maintenance Optimization Reliability Centred Maintenance Life Cycle Profit/ Life Cycle Costs TSMC utilises the principles, tools and methods available in TPM - Total Productive Maintenance and Uptime.
Open Positions at TSMC
4 open positions
Lead the architecture and evolution of TSMC’s global infrastructure platform, building highly available cloud-native systems that support thousands of applications and mission-critical manufacturing services. This on-site Principal Engineer role spans private, hybrid, and multi-cloud environments across North America and Taiwan.
TSMC Washington is seeking a Senior Full Stack Software Engineer to build scalable web applications across front-end, back-end, database, and API layers. This on-site Vancouver, Washington role offers a broad technology scope and a comprehensive benefits package.
Lead the architecture and development of TSMC’s enterprise-scale AI infrastructure platform, enabling global engineering teams to build, deploy, and operate secure AI applications. The role spans LLM serving, GPU infrastructure, distributed systems, cloud platforms, observability, governance, and platform automation.
Lead the development of AI-native business intelligence products at TSMC, combining applied research, generative AI engineering, and end-to-end systems ownership. The role focuses on production-scale LLM applications, MLOps infrastructure, and technical leadership in a hybrid environment requiring four office days per week.