General Motors
2027 Summer Intern - Research and Development - Physical Metallurgist (Steels)
Warren, Michigan, United States of America · Hybrid · Internship · Posted Oct 12, 2026
- Experience
- No minimum number of years stated.
- Education
- Pursuing an M.S. or Ph.D. in Materials Science and Engineering, Metallurgical Engineering, Physics, Mechanical Engineering, or a closely related field.
- Visa sponsorship
- GM does not provide immigration-related sponsorship now or in the future. The role requires a U.S. Person (U.S. citizen, U.S. permanent resident, asylee, or refugee).
About the job
Conduct collaborative steel metallurgy research for vehicle and manufacturing applications, from alloy and processing studies through characterization, performance evaluation, and communication of findings.
What you'll do
- Plan and carry out research on steels, including thermo-mechanical processing, heat treatment, microstructure, and performance.
- Characterize steel materials and evaluate mechanical, durability, forming, joining, and manufacturing behavior.
- Communicate and protect research outcomes through reports, presentations, publications, and invention disclosures.
What they ask for
- Must be a current student pursuing an advanced degree (M.S. or Ph.D.) in a stated field or a closely related field.
- Strong foundation in physical and iron–carbon metallurgy, phase transformations, kinetics, crystallography, and structure–property relationships.
- Experience with steels, thermo-mechanical processing or heat treatment, and metallographic preparation and characterization.
- Experience designing and interpreting mechanical or durability tests; able to work full time (40 hours per week) during summer.
Nice to have
- Ph.D. strongly preferred.
- Experience with advanced steel grades, modeling or simulation, advanced characterization, manufacturing applications, or scientific programming and data analysis.
Tools
CALPHAD, ICME, Python, MATLAB, C/C++, SEM, EDS, EBSD, X-ray diffraction
AI focus
Preferred experience may include machine learning or materials informatics; no specific AI duties are stated.
Model-written summary · the original posting is authoritative