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Senior Software Development Engineer - Ring AI

Amazon

Amazon

Software Engineering, Data Science
Poland · Glenn Dale, MD, USA · Gdańsk, Poland
Posted on Mar 24, 2026

Description

Architect the platform where AI agents meet the physical world — designing the systems that let intelligent agents autonomously control robots, programmable lighting, and hundreds of test beds to validate Ring's AI features at scale.

The Parity team at Ring is building an AI-native testing platform from scratch. You'll define its architecture: a hardware abstraction layer that unifies control of diverse physical equipment, an orchestration engine that scales to 250+ test beds, and the interfaces that let AI agents generate, execute, and validate tests without human intervention.

- You'll own the platform architecture end-to-end — making the design decisions that determine how software, AI, and physical infrastructure work together
- You'll drive the hardest unsolved problems: self-calibrating test rigs, autonomous test generation, and packaging test bed blueprints for remote deployment
- You'll set the technical direction for a growing team and raise the engineering bar through design, code quality, and mentorship
- This is a ground-floor leadership role at the intersection of AI, software, and robotics

Key job responsibilities
- Define the platform architecture that connects AI agents to physical test infrastructure — robots, lighting, positioning systems, and hundreds of test beds
- Design the hardware abstraction layer: a plugin architecture that lets AI agents and test scripts control diverse equipment (DMX lighting, robots, IR emitters, displays, network simulators) through a unified API
- Own the orchestration engine: scheduling, capability-based routing across 250+ test beds and studio rooms, parallel execution, health monitoring, and scale
- Design the interfaces and contracts that enable AI agents to autonomously generate test scenarios, trigger physical execution, and interpret results
- Drive technical decisions on data modeling, API design, reliability patterns, and observability across the platform
- Lead prototyping efforts for unsolved problems: self-calibrating test rigs, zero-touch annotation pipelines, and test bed blueprints for remote deployment
- Build CI/CD gating that connects physical test infrastructure to firmware and AI model release pipelines
- Mentor engineers, lead design reviews, and raise the technical bar for the team

A day in the life
You might spend the morning in a design review for the orchestration engine — deciding how to route tests across 250+ beds based on capabilities and health. After lunch, you're in the studio with a robotics engineer, troubleshooting a UWB positioning integration. By end of day, you're sketching the interface contract that will let AI agents autonomously trigger and validate physical test scenarios. Your week spans architecture documents, hands-on prototyping, mentoring engineers, and conversations with firmware, CV, and AI model teams who depend on your platform to gate their releases. You set the technical direction — and you build alongside the team.

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.