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What Semiconductor Skills Are Most in Demand? From Chip Design to Fabrication

By Freedom251 Team · · 5 min read

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Semiconductor employers need more than fab-floor specialists. In a 2025 survey of 75 organizations in the European Union, software engineers, system and analog design engineers, and cybersecurity experts were the hardest profiles to fill. System architecture ranked as the leading skill priority, with AI also prominent. Process engineers and technicians remain important, while automation is changing the work they do.

That is an EU survey finding, not a global ranking. The best skill path depends on whether you want to work on chip design, software, manufacturing processes, equipment, or test—and on the training routes and hiring needs in your region.

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Which semiconductor skills are most in demand?

The European Chips Skills Academy’s 2025 survey collected 102 responses from 75 organizations. Respondents identified software engineers, design engineers—especially system and analog specialists—and cybersecurity experts as the hardest profiles to fill. At the skill level, system architecture came first, followed by AI. Security also matters across the semiconductor value chain, not only in dedicated cybersecurity jobs. European Chips Skills Academy, Skills Strategy 2025.

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  • System architecture and design: Define how components work together, then translate requirements into systems and chips. System and analog designers are particularly difficult to recruit in the EU survey.
  • Software and embedded development: Build software that connects chip capabilities to products and systems, including automotive, industrial, and robotics applications.
  • AI and data: Apply AI and analyze data in design, verification, testing, process control, automation, quality, and reliability. These capabilities complement core engineering expertise rather than replace it.
  • Cybersecurity: Protect semiconductor-related systems and products, with security-minded engineering relevant across the value chain.
  • Process, equipment, and technician skills: Run and improve manufacturing processes, maintain equipment, and work with increasingly automated operations.

The EU survey describes process engineers and technicians as somewhat easier to fill than its top three profiles, not as unneeded. It also notes that experienced workers can remain difficult to find.

How demand differs across the semiconductor value chain

Career area Core work Skills to build Preparation and portability
Chip and system design Translate product needs into system architecture and circuit or chip designs. System architecture, system design, analog or digital design, and hardware/software integration. Often engineering-degree-heavy, particularly for specialist design work. Skills can transfer across semiconductor products and other complex electronic systems.
Software, embedded systems, and verification Develop and verify software and embedded functions that use or support chip capabilities. Software engineering, embedded development, verification, AI, and security-aware development. Technical study in software or engineering is common; specific requirements depend on the role. Embedded skills also apply in automotive, industrial, and robotics settings.
Fabrication and process engineering Control and improve manufacturing processes and production quality. Process engineering, data analysis, automation, AI-enabled tools, and robotics-related skills. Engineering education is relevant to many process roles, while manufacturing also has technician routes. Demand depends on local production and investment.
Equipment and technician work Operate, maintain, troubleshoot, or support manufacturing equipment and automated systems. Equipment knowledge, practical troubleshooting, process awareness, and comfort with automation and related data. Can be reached through certificates, two-year programs, apprenticeships, and other applied training; a four-year degree is not required for many manufacturing jobs.
Cybersecurity Address security risks in semiconductor products, systems, and operations. Cybersecurity expertise plus an understanding of the systems being protected. Preparation varies by specialist role. Security knowledge is useful beyond dedicated security teams.

This is a guide to the work and skill areas, not a numerical ranking for every occupation. The EU survey identifies hard-to-fill profiles, but it does not establish a comparable global ranking or prescribe one credential for each job.

Why software, AI, and security reach beyond one job category

Software and embedded systems connect chips to products

A chip is part of a larger system. Software and embedded development help turn hardware capabilities into working functions in vehicles, industrial equipment, robotics, and other applications. McKinsey’s discussion of European skill shifts identified embedded software programming as a critical role in 2022; that is useful historical context, not a current hiring ranking. McKinsey, semiconductor talent and skill shifts.

AI complements engineering fundamentals

The ECSA survey points to AI as a major skill factor across design, test, verification, software, process, automation, quality, and reliability. Some EU companies also cited data analysis as a driver of hiring plans. That breadth makes AI and data useful additions to a technical specialty; it does not make knowledge of circuits, software, manufacturing, or verification optional.

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Security is a value-chain concern

Cybersecurity specialists are among the hardest profiles to fill in the EU survey, while security itself affects work across the value chain. A security professional may focus on dedicated protection work; engineers in other areas may also need to account for security in the systems they design, build, or operate.

Fabrication careers include more than four-year engineering roles

Manufacturing depends on process engineers, technicians, equipment specialists, and people who can work with robotics and AI-supported tools. As production becomes more automated, practical process and equipment knowledge increasingly sits alongside data skills and the ability to use new tools.

In a 2026 policy brief, the Semiconductor Industry Association said approximately 60% of new U.S. semiconductor manufacturing jobs will not require a four-year college degree. That figure concerns manufacturing jobs in the United States; it should not be generalized to specialist chip-design roles or to other countries. Semiconductor Industry Association, workforce pathways.

For U.S. technician pathways, SIA recommends regional partnerships, apprenticeships, boot camps, and community and technical colleges. These are categories of training routes, not endorsements of a particular provider.

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What the workforce forecasts do—and do not—say

Different workforce estimates describe different regions and use different methods, so they should not be combined into one global shortage figure.

Estimate Region and source What it measures
About 67,000 jobs at risk of going unfilled by 2030 at current degree-completion rates, out of nearly 115,000 additional semiconductor-industry jobs. United States; Semiconductor Industry Association and Oxford Economics, 2023. A projection, not a count of realized vacancies. Of the projected unfilled jobs, 39% are technicians, 35% engineers with four-year degrees or computer scientists, and 26% engineers with master’s degrees or PhDs. SIA and Oxford Economics, workforce projection.
Average annual shortfall of around 10,800 skilled workers through 2030. European Union; European Chips Skills Academy, 2025. An estimate revised after project postponements or cancellations and the 2024 market downturn. The report says the gap is concentrated geographically and spans the value chain. ECSA, Skills Strategy 2025.

The U.S. figures group projected unfilled jobs by broad education and occupation categories; the EU skills survey ranks difficult-to-fill profiles among its respondents. They answer different questions and do not support a direct comparison of which region has the larger shortage.

How to choose a semiconductor skill path

  1. Choose the kind of work you want. Consider whether you prefer architecture and circuits, software and embedded systems, process control, equipment troubleshooting, test, or security.
  2. Match training to the role. Specialist design and engineering roles may call for deeper technical study. Manufacturing has additional applied routes, including certificates, two-year programs, and apprenticeships in the United States.
  3. Add a cross-cutting skill. AI and data analysis can strengthen work in multiple technical areas. Security awareness is useful whether or not your job title is cybersecurity.
  4. Check local demand and access. Semiconductor hiring and investment are geographically concentrated. Look at employers, training partnerships, and production activity where you plan to work instead of treating a regional survey as a worldwide vacancy list.

Adjacent specialisms also shape talent needs. McKinsey has discussed advanced packaging, specialized ASIC applications, silicon carbide and gallium nitride materials, and embedded software as areas affecting semiconductor skills. That analysis is contextual rather than a fresh ranking of current vacancies. McKinsey, semiconductor talent and skill shifts.

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