Join our talented Camera SDK team that develops Software Development Kits powering millions of Ring and Blink cameras. We're seeking a passionate Software Development Engineer in Test to help us deliver high-quality, reliable software solutions that enable rapid product development across our camera portfolio using AI-enhanced automation.

• Key job responsibilities
• Leverage AI and machine learning to evolve automated test frameworks for embedded systems and camera products
• Design and implement intelligent test automation for audio/video pipelines and board support packages
• Develop AI-driven testing solutions for secure boot implementations and hardware abstraction layers
• Apply AI techniques to enhance test coverage, reduce execution time, and improve defect detection across multi-platform embedded devices
• Collaborate with cross-functional teams including Embedded Software, ASIC and Hardware
• Drive innovation in testing processes through AI integration, improving efficiency and accuracy
• Create and execute data-driven test strategies and intelligent test case generation

About the team
The Camera SDK team combines startup agility with Amazon's resources to create essential software solutions. We work from our development center in Gdansk, Poland, as part of a larger organization developing innovative camera products. Our team values meticulous design, rigorous validation, and security-first thinking. We deliver verified, clean, and maintainable code that accelerates product development through AI-enhanced automation workflows.

The minimum base pay salary for this position is listed below. As a total compensation company, Amazon's package may include further pay components such as a sign on payment and the eligibility to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA. Your recruiting team will share final base pay and any applicable total compensation elements depending on skills and requirements.

Company discretionary, supplementary benefits apply subject to further terms, including pension plans, health insurance, life and disability insurance, business travel insurance, Multi Sport card, employee discount code and program (EDC/Extras), commuter benefits where applicable, and the Employee Assistance Program (private and confidential counselling and referral service to support health and well-being).

Basic Qualifications

• Experience integrating AI/ML technologies into test automation frameworks and processes
• Strong programming skills (Python preferred) with experience in AI/ML libraries and frameworks
• Experience in developing automated test frameworks for embedded systems and hardware-in-the-loop testing
• Experience with computer vision, image processing, and video analytics for device validation
• Experience executing test strategies, test plans and test cases in embedded device environments
• Bachelor's Degree in Computer Science, Engineering, or related technical field

Preferred Qualifications

• Experience with embedded device communication protocols (serial, BLE, network protocols)
• Experience with multi-platform embedded testing (ARM, RISC-V architectures)
• Knowledge of real-time systems testing and RTOS environments
• Experience with AWS services integration and cloud-based testing infrastructure
• Experience with performance profiling, power consumption analysis, and hardware debugging tools
• Strong verbal and written communication skills with ability to work effectively across technical teams
• CI/CD pipelines for device testing
• Integrating test results with dashboards or monitoring systems

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.

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