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Principal AI Infrastructure & Hardware Program Management

Astera Labs - United States, Remote

Posted May 19, 2026

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About this role

Principal AI Infrastructure & Hardware Program Management United States, Remote 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 . About the Role We are seeking a highly experienced and results-driven leader to drive our global AI, Storage, and Networking hardware design programs. This role will be responsible for end-to-end program leadership across complex, multi-disciplinary initiatives, ensuring successful delivery of cutting-edge products in a fast-paced, innovation-driven environment. You will work closely with executive leadership, Tier-1 customers, and cross-functional global teams to deliver next-generation infrastructure solutions, including advanced AI platforms. Key Responsibilities Program Leadership & Execution - Lead and manage global AI, Storage, and Networking hardware design programs, ensuring on-time delivery, scope control, and budget adherence - Drive program governance, risk management, and execution excellence across all phases of product development - Provide regular program updates, risk assessments, and financial reporting to executive leadership through structured reviews (e.g., Leadership Program Reviews) Product Innovation & Delivery - Oversee the successful launch of complex hardware platforms, including AI GPU-based systems

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