SoftwareDevelopmentEngineer-Ring

Bridge the gap between AI and the physical world — build the platform that lets intelligent agents control robots, programmable lighting, and hundreds of automated test beds to generate, execute, and validate tests autonomously. The Parity team at Ring is creating a first-of-its-kind AI-native testing platform. This isn't traditional test automation — it's infrastructure where AI agents design test scenarios, orchestrate physical hardware, and validate results on the fly. - You'll build the platform layer that connects AI agents to the physical world — humanoid robots, UWB real-time positioning, IR emitters, network simulators, and programmable lighting, all through a unified hardware abstraction layer - You'll design the interfaces and environments that enable autonomous test generation, execution, and validation — a new paradigm for quality assurance - You'll prototype new test bed configurations — shelf-mounted environments with displays, thermal panels, and controlled lighting running hundreds of parallel experiments - This is a 0-to-1 role at the intersection of AI, software, and robotics Key job responsibilities - Design and build the platform services that let AI agents orchestrate physical test infrastructure — robots, lighting, positioning systems, and hundreds of test beds - Develop hardware abstraction interfaces so that AI agents and test scripts can control diverse equipment (DMX lighting, robots, IR emitters, displays, network simulators) through a unified API - Build orchestration components: test scheduling, capability-based routing across test beds and studio rooms, parallel execution, and health monitoring - Create the tooling and interfaces that enable AI agents to autonomously generate test scenarios, trigger physical execution, and interpret results - Prototype new shelf-mounted test bed configurations and validate which test types work at miniaturized scale - Build data pipelines that turn collected data into automated annotation, replacing man