Senior Software Development Engineer - Ring AI
Amazon · Gdansk, Poland · Software Development
senior
Software Engineer
ic
· Posted Jan 21, 2026
Skills
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.
- 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
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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.
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
Preferred Qualifications
- Bachelor's degree in computer science or equivalent experience- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.