General QA Engineer (AI)

Our AI QA team provides end-to-end testing solutions of complex AI-driven features, hardware sensors supporting AI functionality, and large-scale cloud and embedded systems. We bring proven experience in both hardware and software product development, with a strong focus on motion detection technologies.

We specialize in building and executing multi-layered automation frameworks across integration, system, and acceptance levels, ensuring comprehensive test coverage, continuous product state monitoring, and stable product releases.

The team contributes to the development of AI features and embedded systems.

We are looking for a QA Engineer with solid experience in software testing, preferably with exposure to cloud-based features. In this role, you will be responsible for executing manual tests as well as expanding and maintaining our existing automation coverage

• →Define requirements for test environments, data, resources, and tools
• →Create and maintain traceability matrices
• →Provide accurate high-level and detailed estimations for assigned activities and features
• →Develop and execute Test Plans in line with standards
• →Ensure automated test coverage (execution, analysis, reporting)
• →Contribute to the development and expansion of the existing Python test framework
• →Interpret and apply product and project metrics (technical and quality)
• →Prepare Test Summary Reports for features and programs in line with standards
• →Monitor, update, and implement new QA approaches based on standards (ISO/IEC/IEEE, ISTQB, RST)
• →Apply Quality Management principles (Planning, Assurance, Control, Continuous Improvement)

• 3+ years of experience in manual testing
• Strong knowledge of testing methodologies and test documentation practices
• Experience with bug tracking systems
• Experience with databases and SQL
• Experience with CI tools (Jenkins)
• Practical experience with API testing (CRUD operations, debugging with Postman or similar tools)
• Basics of Computer Networking
• Basic automation skills with Python (ability to read a script or maintain simple tests)
• Hands-on experience using AI tools for QA tasks
• Good written and spoken English

• Understanding and hands-on experience with embedded systems testing
• Hands-on experience in UNIX/Linux, including CLI navigation and use of regular expressions
• Familiarity with AWS services
• Basic knowledge in computer vision and machine learning
• Experience in mobile testing (Charles or any other proxy software experience)
• Video processing and stream analysis - basic understanding of digital video fundamentals (GOP, I/P/B frames)