[Remote] Test Engineer – Medical Devices & AI (Remote)

Note: The job is a remote job and is open to candidates in USA. Codvo.ai is seeking a highly skilled and detail-oriented Test Engineer with a strong background in medical technology and Artificial Intelligence to join their dynamic team. This role is critical in ensuring the safety, reliability, and compliance of AI-powered medical devices and Software as a Medical Device solutions through comprehensive testing strategies and collaboration with cross-functional teams. Responsibilities • Understand and evaluate the usage of AI/ML models in medical devices, including algorithm behavior, data integrity, and performance under various clinical scenarios. • Design and execute comprehensive white-box and black-box testing strategies for embedded systems, cloud-based platforms, and AI components. • Apply knowledge of SaMD classification, regulatory frameworks (e.g., FDA, MDR), and quality processes to ensure product compliance and audit readiness. • Lead and contribute to verification and validation (V&V) activities across the product lifecycle, ensuring traceability, risk mitigation, and adherence to design controls. • Create and maintain high-quality test plans, protocols, reports, and defect logs aligned with regulatory and internal standards. • Work closely with product managers, data scientists, software engineers, and quality teams to ensure alignment and transparency throughout the development cycle. • Clearly articulate test results, risks, and recommendations to technical and non-technical stakeholders. Skills • 5–8 years of experience in software testing, preferably in medical devices or healthcare technology. • Strong understanding of AI/ML systems, including model validation and bias detection. • Hands-on experience with white-box and black-box testing methodologies. • Familiarity with SaMD regulations, ISO 13485, IEC 62304, and related standards. • Proven track record in verification and validation of regulated software products. • Excellent verbal and written communication skills. • Experience with test automation tools and frameworks is a plus. • Knowledge of risk management processes (ISO 14971). • Experience with cloud platforms (AWS, Azure) and CI/CD pipelines. • Familiarity with data privacy and cybersecurity standards in healthcare. • Testing experience in surgery-related AI. • Test data validation for computer vision and video-based AI. Education Requirements • Bachelor’s or Master’s degree in Engineering, Computer Science, Biomedical Engineering, or related field. Company Overview • At Codvo.ai, we specialize in leveraging artificial intelligence, cloud, and data to solve complex business problems and drive innovation. It was founded in 2019, and is headquartered in Plano, Texas, USA, with a workforce of 51-200 employees. Its website is Company H1B Sponsorship • Codvo.ai has a track record of offering H1B sponsorships, with 3 in 2022. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job