Job Check
Microsystems Engineers
Research, design, develop, or test microelectromechanical systems (MEMS) devices.
10 main tasks · most important first
Your main tasks and AI
Importance- 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
- 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
- 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
- 04Conduct analyses addressing issues such as failure, reliability, or yield improvement.AI could speed this up, with extra tools
- 05Plan or schedule engineering research or development projects involving microelectromechanical systems (MEMS) technology.AI could speed this up, with extra tools
- 06Propose product designs involving microelectromechanical systems (MEMS) technology, considering market data or customer requirements.AI could speed this up, with extra tools
- 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
- 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
- 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
- 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.
Four studies, side by side
None is a forecast of job loss7%of this job’s work time goes to tasks that people already do with Claude at work, counting tasks where AI only helps as half (2026).Anthropic, 2026
51%of this job’s tasks an AI model could do in half the time, counting tasks that need extra tools as half (rated in 2023).Eloundou, Manning, Mishkin and Rock, 2023
Above 71% of jobsin how often and how well AI helped with this job’s work in Microsoft Copilot chats (2024 data).Microsoft Research (Tomlinson et al.), 2025
Above 48% of jobsin how much of this job’s physical work robots have been shown to do, from factories to homes (2026).Anthropic, 2026
Your human edge
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.