Job Location : Saratoga,CA, USA
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).
Position OverviewWe are seeking a highly skilled and detail-oriented Senior Diagnostics Engineer to join our hardware/software integration team. The ideal candidate will possess deep expertise in diagnostics development and bring hands-on experience with Diagnostics for Board Support Packages (BSP), Baseboard Management Controllers (BMC), ASIC, SERDES interfaces, and OSFP modules. This role is critical in ensuring system reliability, performance validation, and early-stage hardware bring-up for next-generation network and compute platforms.
ResponsibilitiesOwn the Diagnostics for Board Support Packages (BSP), Baseboard Management Controllers (BMC), ASIC, SERDES interfaces, and OSFP modules
Qualifications
Why Eridu AI?
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.
The pay range for this role is:
200,000 - 290,000 USD per year (San Francisco Bay Area)
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