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This role focuses on developing and managing strategic relationships with key clients in the semiconductor ecosystem, including wafer manufacturing, packaging, IC design, and EDA/IP sectors. The position requires a seasoned professional with deep industry knowledge and strong cross-functional collaboration skills to drive member engagement, market insights, and product strategy.
This role is responsible for driving revenue growth and strengthening customer relationships across Asia for a fast-growing Connectivity & Storage business unit. The ideal candidate will have 10-15 years of experience managing complex customer engagements and revenue targets in a technology-driven organization.
The Head of Applications - Asia will lead regional application engineering, technical deployment, and post-sales support across APAC.
This role is responsible for driving business growth and strategy execution in Taiwan. You will lead the local team, manage P&L performance, and continuously improve resource utilization and service quality. The position involves overseeing daily operations to ensure sustainable growth and enhanced productivity.
Join a fast-growing global team where your analysis directly drives product strategy and business growth. If you're hope to transform data into influence in the Web3 world, this is your stage.
The Product Engineer will be responsible for ensuring optimal product performance and reliability within the fabless sector. This role demands technical expertise and a proactive approach to problem-solving to support product engineering.
We are seeking a dedicated and experienced Engineering Manager to oversee our operations in Tainan. This role is vital for ensuring the successful engineering of high-quality equipment.
We are looking for a talented Embedded Linux Systems Engineer to develop and maintain software for products powered by the NVIDIA Jetson platform. In this role, you'll work with cutting-edge edge AI software and oversee fleet deployments, ensuring our systems are reliable, efficient, and scalable.
As an MLOps Engineer, you'll design and maintain machine learning systems to streamline model deployment and scaling, while enhancing collaboration and efficiency across development teams.
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