Materials Analysis Engineer – Testing & Characterization

Responsibilities

• Serve as the subject matter expert (SME) for several laboratory test methods, ensuring technical rigor and reliable execution.
• Evaluate and ensure suitability and accuracy of test methods for their intended applications, including periodic review and revalidation.
• Aid in data interpretation and provide technical guidance to internal customers across process, quality, and engineering teams.
• Develop, implement, and improve test procedures to meet evolving production and quality requirements.
• Work in a controlled environment and ensure material traceability, sample chain of custody, and documentation consistent with quality system requirements.
• Troubleshoot instrument performance issues and coordinate preventive maintenance, calibration, and service activities.
• Collaborate with materials, process, and data engineers to integrate testing data into broader manufacturing and quality workflows.

Qualifications

• B.S. or higher in Materials Science and Engineering, Mechanical Engineering, or a closely related field.
• Hands-on experience with materials testing and characterization, preferably in a commercial or industrial environment.
• Familiarity with test method development, validation, and documentation practices.
• Ability to work independently, manage multiple concurrent testing activities, and take ownership of instrument health and method quality.
• Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.
• Possessing experience with one or more of the following techniques: X-ray diffraction (XRD), particle size analysis, thermogravimetric analysis (TGA), or differential scanning calorimetry (DSC).
• Broad exposure to complementary characterization methods such as SEM/EDS, optical microscopy, or mechanical testing (tensile, hardness, density).
• Experience working within a quality management system such as ISO 17025, AS9100, or similar.
• Familiarity with laboratory information management systems (LIMS) or structured data workflows.
• Experience with statistical methods for method validation, measurement uncertainty, or process control.
• Comfort operating in environments where throughput, repeatability, and data integrity are priorities.