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Field Application Engineering Intern

greenhouse:asteralabsTaipei, Taiwan급여 협의인턴

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Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com. Astera Labs is seeking highly motivated Interns to join Field Application Engineering team in their Taipei, Taiwan. As an FAE, you will work to establish the team as trusted technical advisors to the world’s leading cloud service providers, server and network OEMs by working with them to design solutions that use Astera Labs’ portfolio of connectivity products. In this role, you will need to identify and understand customer requirements, propose Astera Labs solutions that provide clear value to the customer and provide hands-on design-in support. You will drive innovation by listening to the customer requirements, working with our engineering teams to implement into the product roadmap and delivering the results back to the customer. If you are: A Junior going into Senior year or Senior graduating by the end of this year Have strong in academics and technical background in Electrical Engineering Someone with professional attitude, ability to prioritize a dynamic list of multiple tasks and work with minimal guidance and supervision Strong in analytical skills, self-motivated and a challenge taker Authorized to work in Taiwan and start immediately What we are looking for: In AI infrastructure, high‑speed interfaces like PCIe, Ethernet, DDR, and NVMe are essential—interest in learning these is a strong plus. Willingness to work with lab tools such as protocol analyzers and logic analyzers. Basic under standing of schematics or PCB layout tools (Cadence, Altium, etc.). Basic understanding of using an oscilloscope.

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게시일 2026. 8. 1.
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