Eridu is a Silicon Valley startup that specializes in boosting the performance of large AI models through cutting‑edge hardware and software optimization. The company leverages a seasoned leadership team—led by serial entrepreneur Drew Perkins, former co‑founder of Infinera, Lightera, Gainspeed, and Mojo Vision—to bring deep expertise in semiconductors, system architecture, and AI software. Eridu’s proprietary acceleration platform reduces inference latency and energy consumption, enabling enterprises to deploy AI at scale more efficiently. With a focus on high‑performance computing, the firm differentiates itself by combining industry‑leading hardware design with AI‑centric software solutions, creating a unified stack that delivers measurable speed and cost benefits. The collaborative, innovation‑driven culture attracts top talent who thrive on solving complex, high‑impact challenges in AI infrastructure.
Eridu AI is a Silicon Valley-based hardware startup pioneering infrastructure solutions that accelerate training and inference for large-scale AI models. We are looking for a highly skilled Linux OS BSP QA Engineer to join our platform software quality team.
Eridu is a Silicon Valley startup that specializes in boosting the performance of large AI models through cutting‑edge hardware and software optimization. The company leverages a seasoned leadership team—led by serial entrepreneur Drew Perkins, former co‑founder of Infinera, Lightera, Gainspeed, and Mojo Vision—to bring deep expertise in semiconductors, system architecture, and AI software. Eridu’s proprietary acceleration platform reduces inference latency and energy consumption, enabling enterprises to deploy AI at scale more efficiently. With a focus on high‑performance computing, the firm differentiates itself by combining industry‑leading hardware design with AI‑centric software solutions, creating a unified stack that delivers measurable speed and cost benefits. The collaborative, innovation‑driven culture attracts top talent who thrive on solving complex, high‑impact challenges in AI infrastructure.