26 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You usually split time between the lab, meetings, and the shop. Mornings often start with checking test results in Excel and reviewing production issues on SharePoint or Outlook.
Afternoons are for experiments, supervising technicians, or running modeling in SolidWorks or AutoCAD. You might also write a short failure report in Word and plan next-week tests or prototype builds with Visio or PowerPoint.
Learn Microsoft Excel, Word, and Outlook first — teams use these every day for data, reports, and email. SharePoint basics help you find documents and version control.
After that, pick one CAD or modeling tool the employer uses: SolidWorks or AutoCAD for geometry and prototypes, and get basic C++ or modeling-software skills if the role mentions simulation and data analysis.
Engineers use AI/ML to analyze test data, predict material behavior, or speed up composition analysis — often feeding results into Excel or simulation tools. Treat AI outputs as suggestions; always validate with physical tests and peer review.
Do not use AI to replace safety-critical decisions. Keep raw data, document model versions, and use approved software for regulated work so you can trace and justify any recommendation.
You run failure analysis: collect samples, test composition and microstructure, and check manufacturing records in SharePoint. Use lab tools and often model failure modes in SolidWorks or Visio.
Then you write a report in Word for engineers and managers, recommend repairs or material changes, and may supervise technicians implementing fixes or new heat treatments.
According to the U.S. Bureau of Labor Statistics (BLS) for 2025: median pay is $112,860 per year. The lowest tenth earn about $72,300 and the top tenth about $175,720, with 22,770 employed in the category.
Use those numbers to set expectations: location, industry (aerospace vs. academia), and experience change where you fall in that range.
Materials science gives deeper knowledge of composition, heat treatments, and testing methods; mechanical engineering teaches design, CAD, and systems thinking. Both lead to this role.
If you like alloy modification, microscopy, and composition analysis, choose materials science. If you prefer prototype design, SolidWorks, and broader engineering problems, mechanical engineering is fine — many workplaces hire either with relevant experience.
Hands-on test interpretation: being able to look at micrographs, mechanical test curves, or Excel datasets and link them to manufacturing causes. That means combining lab experience with analytical thinking and software use.
Great engineers also communicate findings clearly in Word and PowerPoint, supervise technicians effectively, and propose practical changes that balance cost and performance.