Vulcan Elements is manufacturing American rare-earth permanent magnets for a secure, resilient future. With a focus on national security and economic resiliency, we serve critical industries such as defense, aerospace, and automotive powering a high-technology future. Vulcan Elements is building a team of ambitious professionals committed to Mission Focus, Technical Excellence and Transparency.
We are seeking a highly motivated Materials Analysis Engineer to join our laboratory and analysis team. This individual will operate advanced analytical equipment, develop and refine testing methods, and ensure generation of reliable, high-quality data. In addition to hands-on laboratory work, the role involves advanced data analysis, including statistical and machine learning (ML) methods.
Responsibilities
- Operate and maintain advanced materials characterization equipment, including:
- Scanning Electron Microscopy (SEM) with EDS and EBSD
- Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES)
- Combustion and inert gas fusion analysis
- Laser diffraction particle size measurement
- Metallographic sample preparation (mounting, polishing, etching)
- Develop and improve laboratory test methods to enhance accuracy, reproducibility, and efficiency.
- Ensure consistent generation of high-quality data, including establishing quality control standards and calibration protocols.
- Perform in-depth data analysis using statistical methods and machine learning techniques.
- Develop, train, and validate ML models for materials data interpretation and prediction.
- Document procedures, test results, and method development in a clear, structured manner.
Responsibilities and tasks outlined are not exhaustive and may change as determined by the needs of the business
Qualifications
- Bachelor’s degree in Materials Science, Metallurgy, Mechanical Engineering, Chemical Engineering, or related field.
- Hands-on experience with materials characterization equipment (SEM, EDS, EBSD, ICP-OES, etc.) and metallographic sample preparation.
- Proficiency in data analysis, including statistics, scripting (Python) and data visualization.
- Excellent problem-solving skills and ability to innovate in test method development.
- Experience with machine learning frameworks (scikit-learn, PyTorch, etc.).
- Knowledge of materials and mechanical thermodynamics, solidification, or powder metallurgy processes.
- Previous experience applying simulation tools to materials processing or structural analysis.
- Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.
Preferred Qualifications
- Experience with Docker and containerized deployment.
- Familiarity with FastAPI, Flask, or Dash for internal tools and dashboards.
- Experience integrating industrial data systems (OPC-UA, Modbus, MQTT).
- Exposure to PyTorch, scikit-learn, and scientific Python tooling (NumPy, pandas).
