Perform any or all of the following functions in the manufacture of electronic semiconductors: load semiconductor material into furnace; saw formed ingots into segments; load individual segment into crystal growing chamber and monitor controls; locate crystal axis in ingot using x-ray equipment and saw ingots into wafers; and clean, polish, and load wafers into series of special purpose furnaces, chemical baths, and equipment used to form circuitry and change conductive properties.
U.S. Workers
32,150
Median Salary
$51,180
10-Year Growth
+10.9%
Annual Openings
3,900
Typical entry: High school diploma or equivalent
24 of 24 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Manipulate valves, switches, and buttons, or key commands into control panels to start semiconductor processing cycles.
AI: Fully automatable - Starting semiconductor processing cycles is typically performed via software/PLC interfaces and can be fully automated by AI through control systems and scripted commands.
Inspect materials, components, or products for surface defects and measure circuitry, using electronic test equipment, precision measuring instruments, microscope, and standard procedures.
AI: Fully automatable - Automated optical/electrical inspection systems and ML-based defect classification already perform surface defect detection and circuitry measurements with high accuracy in fabs.
Maintain processing, production, and inspection information and reports.
AI: Fully automatable - Maintaining processing, production, and inspection records is an information management task that AI can fully automate through data integration and report generation.
Set, adjust, and readjust computerized or mechanical equipment controls to regulate power level, temperature, vacuum, and rotation speed of furnace, according to crystal growing specifications.
AI: Fully automatable - Furnace and crystal-growth systems are typically controlled by automated control loops and recipe-based adjustments that can regulate power, temperature, vacuum, and rotation per specifications.
Etch, lap, polish, or grind wafers or ingots to form circuitry and change conductive properties, using etching, lapping, polishing, or grinding equipment.
AI: Fully automatable - Etch, lapping, polishing, and grinding steps are executed by automated equipment (e.g., CMP tools, etchers) under programmatic control in modern fabs.
Clean semiconductor wafers using cleaning equipment, such as chemical baths, automatic wafer cleaners, or blow-off wands.
AI: Fully automatable - Automated wafer-cleaning equipment and robotic wet-bench integration can carry out standardized wafer cleaning procedures without human intervention.
Load semiconductor material into furnace.
AI: Fully automatable - Robotic loaders and automated handling systems are used to load semiconductor material into furnaces and processing tools in production environments.
Study work orders, instructions, formulas, and processing charts to determine specifications and sequence of operations.
AI: Fully automatable - Document-understanding, recipe-management, and scheduling systems can parse work orders and determine specifications and operation sequences in controlled manufacturing workflows.
Monitor operation and adjust controls of processing machines and equipment to produce compositions with specific electronic properties, using computer terminals.
AI: Fully automatable - Process-control systems and AI-driven monitoring can observe operations via terminals and adjust controls to achieve target electronic properties in manufacturing.
Load and unload equipment chambers and transport finished product to storage or to area for further processing.
AI: Fully automatable - Automated material-handling systems (AMHS) and tool-integrated robotics routinely load/unload chambers and transport finished product within fabs.
Count, sort, and weigh processed items.
AI: Fully automatable - Counting, sorting, and weighing are routine, sensor-driven tasks that are reliably automated with computer vision and control systems in manufacturing.
Calculate etching time based on thickness of material to be removed from wafers or crystals.
AI: Fully automatable - Calculating etch time from thickness and known etch rates is a straightforward computational task that AI/models can fully perform given the inputs and process parameters.
Align photo mask pattern on photoresist layer, expose pattern to ultraviolet light, and develop pattern, using specialized equipment.
AI: Fully automatable - Photolithography alignment, exposure, and development are already carried out by sophisticated automated equipment and control software in modern fabs.
Place semiconductor wafers in processing containers or equipment holders, using vacuum wand or tweezers.
AI: Fully automatable - Robotic wafer handlers and vacuum pick-and-place systems are standard and can precisely place wafers into holders and containers in cleanrooms.
Stamp, etch, or scribe identifying information on finished component according to specifications.
AI: Fully automatable - Marking, etching, or scribing identification is a deterministic, programmable operation that is readily automated with machine controllers and vision verification.
Operate saw to cut remelt into sections of specified size or to cut ingots into wafers.
AI: Fully automatable - Sawing and wafer slicing are standard CNC/robotic operations in semiconductor production and can be fully automated and controlled by software.
Scribe or separate wafers into dice.
AI: Fully automatable - Dicing and scribing of wafers are routinely performed by automated dicing machines with programmatic control and vision alignment.
Inspect equipment for leaks, diagnose malfunctions, and request repairs.
AI: Partial - AI can detect leaks and anomalous signals from sensors and suggest diagnoses and work orders, but complex fault isolation and hands‑on repairs still require human technicians.
Clean and maintain equipment, including replacing etching and rinsing solutions and cleaning bath containers and work area.
AI: Partial - Fluid handling and some cleaning tasks are automatable, but full equipment maintenance and chemical replacement still often require human technicians for safety and complex interventions.
Connect reactor to computer, using hand tools and power tools.
AI: Partial - Robotic systems and guided instructions can assist or perform many connection tasks, but variable fixturing and fine manual tool work for hooking up reactors to control systems often need human intervention.
Mount crystal ingots or wafers on blocks or plastic laminate, using special mounting devices, to facilitate their positioning in the holding fixtures of sawing, drilling, grinding or sanding equipment.
AI: Partial - Pick‑and‑place and fixturing for mounting ingots/wafers can be automated in many setups, but delicate handling, diverse fixturing and process setup frequently require human oversight.
Attach ampoule to diffusion pump to remove air from ampoule, and seal ampoule, using blowtorch.
AI: Partial - Vacuum pumping and attachment can be automated and monitored, but manual, dexterous, and safety‑critical flame sealing of ampoules remains difficult to fully automate in general settings.
Measure and weigh amounts of crystal growing materials, mix and grind materials, load materials into container, and monitor processing procedures to help identify crystal growing problems.
AI: Partial - AI systems can monitor processes and assist with weighing and mixing via integrated automation and analytics, but the fine manual grinding/loading and high-precision judgment in crystal growth remain only partially automatable in typical fabs as of 2025.
Locate crystal axis of ingot, and draw orientation lines on ingot, using x-ray equipment, drill, and sanding machine.
AI: Partial - Machine vision, X‑ray analysis and CNC/drilling automation can perform orientation marking in some settings, but the high-precision alignment, fixturing and ad hoc judgment required for many ingots still require human skill, so automation is partial.