Updated October 2026
The semiconductor industry sits at the forefront of innovation in today’s technology landscape. And with semiconductors powering everything from smartphones and vehicles to data centers and AI infrastructure, manufacturers are under pressure to produce increasingly advanced chips efficiently and reliably.
Artificial intelligence has become an important part of that equation. Across semiconductor fabrication plants, AI can help manufacturers analyze production data, predict equipment issues, identify defects, improve yield, automate processes, and make faster decisions.
But successful AI adoption requires more than the technology itself. It requires people with the right combination of AI, data, engineering, manufacturing, and operational expertise.
If you’re building an AI-ready semiconductor workforce, here are 11 AI roles to consider for your fabrication plant.
1. AI Systems Engineer
AI systems engineers help design, build, integrate, and support AI-powered solutions. Within semiconductor manufacturing, they may work with engineering and operations teams to connect AI capabilities with manufacturing equipment, data platforms, inspection systems, and other parts of the fab environment.
This role can be especially valuable when manufacturers need to move AI projects beyond individual models or proofs of concept and integrate them into larger production environments.
According to Insight Global’s AI Salary Guide, AI Engineers have a median annual salary of $150,000.
2. Machine Learning Engineer
Machine learning engineers build and maintain systems that bring machine learning models into production environments. In semiconductor fabs, those models can support applications such as predictive maintenance, anomaly detection, defect classification, process optimization, and yield improvement.
For example, machine learning models can analyze equipment and production data for patterns that might indicate an impending equipment failure or process deviation, giving teams an opportunity to intervene before the issue leads to additional downtime or lost production.
Insight Global’s AI Salary Guide reports a median annual salary of $180,000 for Machine Learning Engineers.
Related: 12 Emerging Career Paths in the Semiconductor Industry
3. Data Scientist
Modern semiconductor fabs generate significant amounts of data across manufacturing equipment, sensors, inspection systems, production processes, and quality controls. Data scientists help transform that information into insights manufacturers can use.
They develop and test models, identify patterns in complex datasets, and help engineering and operations teams understand what those patterns mean. Their work can support applications ranging from process optimization and predictive maintenance to defect analysis and yield improvement.
Insight Global’s AI Salary Guide reports a median annual salary of $180,000 for Data Scientists.
The broader demand outlook is also strong. The U.S. Bureau of Labor Statistics (BLS) projects employment of data scientists to grow 35% from 2025 to 2035. This is much faster than the average for all occupations.
4. AI Hardware Engineer
AI hardware engineers work with the computing infrastructure and hardware needed to support AI workloads. Depending on the organization and project, that can include processors, GPUs, accelerators, embedded systems, and related computing architecture.
Within semiconductor environments, hardware expertise can support the development and deployment of specialized systems capable of processing the large volumes of data involved in manufacturing, inspection, and other AI-enabled processes.
Because “AI hardware engineer” is not a standardized BLS occupation, compensation varies by specialization. As a relevant benchmark, BLS reports that computer hardware engineers earned a median annual wage of $161,740 in May 2025, with employment projected to grow 9% from 2025 to 2035.
5. Automation Engineer
Automation engineers design, implement, and optimize automated systems throughout manufacturing environments. In a semiconductor fab, these professionals may help integrate equipment, controls, software, sensors, and data systems to keep highly complex production processes operating efficiently.
As AI becomes integrated into manufacturing operations, automation engineers can also help connect intelligent systems with the physical equipment and workflows they are designed to support.
Job titles and responsibilities in industrial automation vary considerably, so exact compensation depends on the engineering specialization and scope of the position. As one relevant benchmark, BLS reports that industrial engineers earned a median annual wage of $102,440 in May 2025.
DOWNLOAD: Insight Global’s Enterprise AI Toolkit
6. Robotics Technician
Semiconductor manufacturing relies heavily on automated equipment to move wafers and materials through precise manufacturing processes. Robotics technicians help install, test, maintain, troubleshoot, and optimize these systems.
As robotics systems incorporate more advanced sensors, software, and AI-enabled capabilities, technicians need a combination of mechanical, electrical, and increasingly digital expertise to keep equipment operating reliably.
BLS reports that electro-mechanical and mechatronics technologists and technicians earned a median annual wage of $73,900 in May 2025. This occupation includes professionals who operate, test, and maintain electromechanical or robotic equipment.
7. Process Control Technician
Consistency is critical during semiconductor fabrication. Process control technicians help monitor manufacturing equipment and processes to keep production operating within precise specifications.
AI-enabled monitoring and analytics can help these teams detect anomalies and identify potential deviations more quickly. Combined with equipment and process expertise, this can help fabs address problems before they contribute to defects, downtime, or yield loss.
This role earns a median annual wage of $51,430 as of May 2025. BLS projects employment in that occupation to grow 8% between 2025 and 2035, faster than the average for all occupations.
8. Quality Assurance Engineer
Quality assurance engineers help manufacturers establish processes for identifying defects, investigating quality problems, and making sure products meet required specifications.
AI and machine learning can strengthen these processes by helping teams analyze inspection data, detect anomalies, classify defects, and recognize patterns that can be difficult to identify manually. In semiconductor fabrication, where microscopic defects can affect chip performance, these capabilities can be particularly valuable.
Compensation varies depending on whether the role is primarily focused on manufacturing quality, engineering, or software-based testing. As a broader technology benchmark, software quality assurance analysts and testers earned a median annual wage of $104,300 in May 2025.
9. Supply Chain Analyst
Semiconductor supply chains involve complex networks of raw materials, specialized equipment, suppliers, production capacity, inventory, and logistics. Supply chain analysts help organizations make sense of that complexity.
AI-powered forecasting and analytics can help these professionals model demand, optimize inventory, evaluate potential disruptions, and make more informed planning decisions. That capability is especially useful in an industry where manufacturing capacity and critical materials can have long lead times.
One relevant BLS benchmark is the operations research analyst occupation. These professionals use mathematics and logic to help organizations solve complex problems and make informed decisions. The median annual wage for operations research analysts was $88,940 in May 2025, and employment is projected to grow 12% from 2025 through 2035.
10. Security Engineer
The growing use of connected equipment, data platforms, automation, and AI also increases the importance of cybersecurity throughout semiconductor manufacturing.
Security engineers help protect the systems and data supporting manufacturing operations. Depending on the environment, their responsibilities may include identifying vulnerabilities, establishing security controls, securing networks and AI systems, protecting sensitive intellectual property, and responding to potential threats.
BLS reports that information security analysts earned a median annual wage of $129,180 in May 2025. Employment is projected to grow 21% from 2025 to 2035, significantly faster than the average for all occupations.
11. System Integration Engineer
A fab can contain manufacturing equipment, automation and control systems, sensors, software platforms, data infrastructure, and AI applications that all need to work together.
Systems integration engineers help make that possible. They connect new technologies with existing systems, troubleshoot compatibility issues, coordinate integrations, and help ensure information can move reliably between different parts of the manufacturing environment.
That role becomes increasingly important as semiconductor manufacturers introduce AI capabilities into facilities that already contain highly specialized equipment and existing technology environments.
Systems integration work can draw from several engineering disciplines, making a single national salary benchmark difficult to apply. For context, BLS reports that electrical and electronics engineers earned a combined median annual wage of $125,040 in May 2025.
Building the Semiconductor Workforce for an AI-Driven Future
AI is creating new opportunities across semiconductor manufacturing, but technology alone won’t improve yield, increase efficiency, or keep production moving. Manufacturers need people who understand how to apply AI within highly specialized engineering and manufacturing environments.
And there isn’t one universal model for building that workforce. Some semiconductor manufacturers may need to hire for specific AI roles or other specialized positions to close critical skills gaps. Others may need consulting teams that can take responsibility for defined technology, engineering, or operational outcomes. And as AI becomes embedded across more areas of the fab, organizations may also need expertise that can help them identify, build, implement, and operationalize the right AI solutions.
Insight Global brings those capabilities together across talent, consulting, and AI. With access to talent in more than 50 countries and technical expertise spanning AI, data, cloud, enterprise operations, and applied engineering, we help organizations build the teams and solutions they need to solve complex challenges and move further, faster.
Whether you need specialized semiconductor talent, a consulting partner to tackle an engineering or operational challenge, or AI expertise to move an initiative from idea to implementation, Insight Global can help.
Ready to strengthen your semiconductor workforce and prepare your operations for what’s next? Connect with our experts today.
by Erin Ellison 
by Patrick Glynn