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Test Engineer – Medical Devices & AI

· Job Posted June 03, 2026
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Job Description

We are seeking a highly skilled and detail-oriented Test Engineer with a strong background in medical technology (MedTech) and Artificial Intelligence (AI) to join our dynamic team. This role is critical in ensuring the safety, reliability, and compliance of AI-powered medical devices and Software as a Medical Device (SaMD) solutions.

Job Responsibility

  • 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

Requirements

  • Bachelor’s or Master’s degree in Engineering, Computer Science, Biomedical Engineering, or related field
  • 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

Nice to have

  • 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

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