Eridu AI is a Silicon Valley-based hardware startup pioneering infrastructure solutions that accelerate training and inference for large-scale AI models. Today’s AI performance is frequently limited by system-level bottlenecks. Eridu AI delivers multiple industry-first innovations across semiconductors, software, and systems to unlock greater GPU utilization, reduce capital and power costs, and maximize data center efficiency. The company’s solutions and value proposition have been validated by several leading hyperscalers.
The company is led by a veteran team of Silicon Valley executives and engineers with decades of experience in state-of-the-art semiconductors, optics, software, and systems, including serial entrepreneur Drew Perkins, co-founder of Infinera (NASDAQ: INFN), Lightera (acq. by Ciena), Gainspeed (acq. by Nokia) and Mojo Vision (World’s leading micro-LED company and developer of the first augmented reality contact lens).
As a Hardware Engineer in our Systems Engineering group, you will be responsible for delivering systems and sub-assemblies, taking them from concept to production. These hardware designs incorporate high-speed optical and electrical I/O, processing and management components and will require careful consideration of power, cooling, reliability and overall cost.
Your responsibilities will span from hardware definition to design, qualification and product release. To deliver these systems, you will need to collaborate with architecture, semiconductor, software and manufacturing team members and external partners. This is an exciting, hands-on design position that will require your creativity and attention to detail.
At Eridu AI, you’ll have the opportunity to shape the future of AI infrastructure, working with a world-class team on groundbreaking technology that pushes the boundaries of AI performance. Your contributions will directly impact the next generation of AI networking solutions, transforming data center capabilities.
The starting base salary for the selected candidate will be established based on their relevant skills, experience, qualifications, work location, market trends, and the compensation of employees in comparable roles.
Systems Engineering
Saratoga, CA
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