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 manual workflows

• Develop CI/CD integrations that connect physical test infrastructure to firmware and AI model release pipelines

• Build dashboards and APIs for test results, statistical analysis, regression detection, and infrastructure health

A day in the life
No two days look the same. You might debug a hardware abstraction plugin for IR emitters in the morning, design an API for AI-driven test orchestration in the afternoon, and prototype a new shelf-mounted test bed the next day. Your stakeholders — firmware engineers, CV scientists, AI model teams — rely on your platform to know if releases are ready to ship. You'll work across purpose-built facilities in Gdańsk: dark chambers with robots, corridors with hundreds of test beds, and a simulated neighborhood. And there's a frontier to explore: AI agents that generate synthetic environments, predict regressions, and push the boundaries of what autonomous testing can be.

About the team
We are the Parity team within Ring AI — a small, fast-moving group building the infrastructure that validates Ring's AI features across real physical environments. We operate three purpose-built facilities in Poland: automated testing studios with humanoid robots and programmable lighting, a multi-environment data collection site, and a simulated neighborhood for testing features like Search Party at scale. Our culture is prototype-first: we build quickly, test with real hardware, and iterate. We're engineers who are equally comfortable writing platform code and wiring up a new sensor. If you thrive in ambiguity and want to build things that have never been built before, you'll fit right in.

Basic Qualifications

• Multiple years of professional software development experience
• Strong proficiency in more then one programming language (Typescript, Python, Java, or similar)
• Experience building data pipelines, tooling, or infrastructure for ML/AI systems
• Experience with test automation frameworks and continuous integration/continuous deployment practices
• Demonstrated ability to design and deliver complex technical projects independently
• Professional software development experience
• Proficiency in at least one programming language (Python, TypeScript, Java, or similar)
• Experience designing and building APIs, services, or platform components
• Experience with CI/CD practices and automated testing
• Demonstrated ability to take loosely defined problems and deliver working software with minimal guidance
• Experience working across multiple layers of the stack (backend services, data pipelines, APIs, or hardware interfaces)
• • Multiple years of professional software development experience
• • Strong proficiency in more then one programming language (Typescript, Python, Java, or similar)
• • Experience building data pipelines, tooling, or infrastructure for ML/AI systems
• • Experience with test automation frameworks and continuous integration/continuous deployment practices
• • Demonstrated ability to design and deliver complex technical projects independently

Preferred Qualifications

• Experience with hardware-software integration: IoT, robotics, embedded systems, or industrial automation
• Experience with AI/ML systems — building tools, pipelines, or infrastructure that support model development or validation
• Familiarity with protocol-level hardware control (DMX/Art Net, ROS, serial, MQTT, or similar)
• Experience with real-time data systems, positioning technologies, or sensor data processing
• Experience building plugin architectures or abstraction layers for heterogeneous systems
• Background in computer vision, image processing, or video analysis
• Bachelor's degree in computer science, engineering, or equivalent practical experience

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