Etched is seeking a Pod Software Engineer to join their System Software team in San Jose. This role focuses on developing high-performance networking solutions for large-scale AI inference workloads. The position involves working with RDMA-based networking, kernel development, and system optimization for AI hardware acceleration.
The ideal candidate will work on critical projects including RDMA implementation, performance optimization, and system-level software development. They will collaborate with kernel, platform, and telemetry teams to enhance peer-to-peer RDMA efficiency. The role requires expertise in C/C++, networking technologies, and Linux systems.
Etched differentiates itself by focusing on model-specific hardware for AI, believing in the "Bitter Lesson" principle that progress in AI comes from using more FLOPs through specialized hardware. The company maintains a fully in-person work environment in West San Jose, emphasizing both engineering and research capabilities.
The position offers comprehensive benefits including full medical coverage, a generous housing subsidy for nearby residents, and daily meals. This is an excellent opportunity for experienced software engineers passionate about high-performance computing, networking, and AI hardware optimization.