CANDIDATE QUALIFICATIONS:
Required Qualifications
- Master’s degree or Ph.D. in Mechanical Engineering, Materials Science, Metallurgy, Manufacturing Engineering, Aerospace Engineering, or a related technical discipline.
- Extensive hands-on experience with Laser Powder Bed Fusion (L-PBF) metal additive manufacturing.
- Demonstrated expertise across the complete additive manufacturing process, including build preparation, parameter development, post-processing, inspection, and qualification.
- Experience supporting customers within regulated industries such as aerospace, defense, medical, energy, or industrial manufacturing.
- Strong understanding of process-structure-property relationships, including melt pool behavior, residual stress, porosity mechanisms, microstructure development, cracking, anisotropy, and heat treatment.
- Experience with common L-PBF materials including titanium alloys, aluminum alloys, nickel superalloys, stainless steels, maraging steels, cobalt chrome, and copper alloys.
- Strong understanding of powder handling, material traceability, contamination control, and feedstock management.
- Experience troubleshooting additive manufacturing processes including laser parameters, recoating, gas flow, preheating, and build monitoring.
- Demonstrated experience leading customer design reviews, qualification planning, and technical risk assessments.
- Strong written and verbal communication skills with the ability to present highly technical information to customers and executive stakeholders.
Preferred Qualifications
- Experience with DfAM and computational design software such as Siemens NX, CATIA, SolidWorks, Autodesk Fusion, or nTop.
- Experience using additive manufacturing software including Materialise Magics, Netfabb, 3DXpert, or AM Studio.
- Familiarity with simulation software such as Amphyon, PanX, Ansys Additive, or Simufact Additive.
- Knowledge of ISO/ASTM additive manufacturing standards, SAE AMS specifications, and qualification methodologies.
- Experience analyzing CT scan data, machine logs, qualification datasets, and non-destructive evaluation (NDE) results.
- Previous experience mentoring technical teams and leading cross-functional engineering initiatives.
