Moss, a Y Combinator-backed startup addressing latency issues in Voice AI, is hiring a Software Engineer focused on its Software Development Kits (SDKs). The company's core product is a real-time semantic search layer designed to deliver sub-10ms retrieval for conversational AI applications, operating across various environments from edge devices to the cloud. Moss claims its infrastructure is already deployed in over 100 countries, handling millions of voice minutes and supporting significant enterprise clients.

The role requires an engineer to own the architecture and evolution of Moss SDKs across multiple languages including JavaScript/TypeScript, Python, Swift, Android, Elixir, C, and the underlying Rust core. Responsibilities involve improving bundle size, reducing latency, ensuring cross-platform parity, and enhancing developer ergonomics. The engineer will work on live SDKs used by production customers from day one, focusing on performance optimizations like memory usage and startup latency.

Moss seeks candidates with deep systems engineering experience, particularly in Rust, and a proven track record of shipping large-scale developer infrastructure. Experience with FFI, packaging systems, build tools, and cross-platform development is essential. Familiarity with specific languages like JavaScript, Python, Swift, or Android is also sought. The position offers the chance to significantly impact how real-time retrieval infrastructure is integrated into AI products, potentially reaching billions of devices.