Product Development Engineer

Job Description

• The ideal candidate will be responsible for designing, developing, implementing, and supporting test solutions for manufacturing and operational processes.
• This includes automated test systems, diagnostics, calibration and verification tools to ensure the quality and reliability of products during production.

• Design and develop production test systems (hardware and software) for product verification and validation.
• Collaborate with design, quality, manufacturing and vendors to define test requirements and ensure test coverage.
• Implement automated test solutions to improve efficiency, accuracy, and scalability in production environments.
• Develop and maintain test fixtures, scripts, and infrastructure.
• Provide technical support to manufacturing and operations teams to resolve test-related issues.
• Maintain and calibrate test equipment, ensuring compliance with industry standards and internal policies.
• Document all test procedures, specifications, and results in line with quality management system.
• Perform Gauge R & R and IQ/OQ/PQ for custom test fixtures.
• Develop and perform design of experiments.

• Bachelor's degree in mechanical engineering, biomedical engineering, or a related field.
• 5+ years of experience in test development or test engineering, preferably in a production or operations setting.
• Working knowledge in test software environments such as LabVIEW and/or Python preferred.
• Experience in executing verification/testing software in a design and production environment.
• Experience with in a highly regulated medical device industry.
• Hands‑on experience with electronic measurement instruments (e.g., oscilloscopes, multimeters, power supplies).

• Strong problem‑solving skills and attention to detail.
• Proficient in test method analysis and test method validation.
• Good documentation skills with strong communication and teamwork abilities.
• Demonstrated ability to work on problems of a complex scope where analysis of situations or data involves multiple competing factors.
• Solid understanding of verification and testing best practices.