Microsystems Engineers

1. 01Create schematics and physical layouts of integrated microelectromechanical systems (MEMS) components or packaged assemblies consistent with process, functional, or package constraints.AI could speed this up, with extra tools
2. 02Investigate characteristics such as cost, performance, or process capability of potential microelectromechanical systems (MEMS) device designs, using simulation or modeling software.People already use AI for this at work
3. 03Create or maintain formal engineering documents, such as schematics, bills of materials, components or materials specifications, or packaging requirements.AI could speed this up a lot
4. 04Conduct analyses addressing issues such as failure, reliability, or yield improvement.AI could speed this up, with extra tools
5. 05Plan or schedule engineering research or development projects involving microelectromechanical systems (MEMS) technology.AI could speed this up, with extra tools
6. 06Propose product designs involving microelectromechanical systems (MEMS) technology, considering market data or customer requirements.AI could speed this up, with extra tools
7. 07Develop formal documentation for microelectromechanical systems (MEMS) devices, including quality assurance guidance, quality control protocols, process control checklists, data collection, or reporting.AI could speed this up, with extra tools
8. 08Communicate operating characteristics or performance experience to other engineers or designers for training or new product development purposes.AI could speed this up a lot
9. 09Evaluate materials, fabrication methods, joining methods, surface treatments, or packaging to ensure acceptable processing, performance, cost, sustainability, or availability.AI could speed this up, with extra tools
10. 10Refine final microelectromechanical systems (MEMS) design to optimize design for target dimensions, physical tolerances, or processing constraints.AI could speed this up, with extra tools

Tasks from O*NET® 31.0 (US Department of Labor, CC BY 4.0, changed by us), most important first. “Already use” comes from Anthropic’s data on real work chats with Claude; “could speed up” from task ratings made with GPT-4 in 2023.

AI touches every main task of this job in some way. Your edge is judgment: knowing when AI’s work is right, and checking it before it counts.

What you can do next