Materials engineers study the structure and properties of substances at the atomic and molecular level to develop new materials or improve existing ones. They work across industries such as aerospace, semiconductors, biomedical devices, energy, automotive, and consumer goods, selecting materials for specific applications, analyzing failures, and designing processes to manufacture materials reliably at scale.
Day to day, the job blends lab work, computer modeling, and cross-functional collaboration. Materials engineers run experiments using tools like electron microscopes and X-ray diffraction, interpret test data, write technical reports, and partner with design, manufacturing, and quality teams. As industries push toward batteries, lightweight alloys, recyclable plastics, and advanced semiconductors, the role has become central to innovation and sustainability.
| Entry level | $68,000 |
| Median | $104,000 |
| Senior | $135,000 |
| Top 10% | $170,000 |
| Job growth | +5% |
| Professionals in the USA | 0.03 million |
| Typical hours/week | 42 hrs |
| Remote work share | 8% |
| Annual job openings | 2,300/yr |
| Demand | 3.7 / 10 (Low) |
AI and machine learning are transforming materials discovery by rapidly screening compounds, predicting properties, and optimizing processing parameters. Rather than replacing materials engineers, these tools are becoming powerful assistants that shorten R&D cycles and reduce costly trial-and-error experimentation.
Automation exposure: AI can automate literature reviews, property prediction, simulation setup, microstructure image analysis, defect detection in quality control, and high-throughput screening of candidate materials. Routine data analysis and report generation are also increasingly automated.
The human edge: Materials engineers bring hands-on experimental judgment, physical intuition about why materials fail, creative problem-solving across competing constraints (cost, performance, sustainability, manufacturability), and the ability to validate AI predictions in the lab. Cross-functional collaboration, regulatory navigation, and accountability for safety-critical decisions remain distinctly human.
Figures are estimates for exploration — verify current data with BLS.gov.