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Semiconductor employers need skills across the whole chip value chain—not only in fabrication. In a 2025 European Chips Skills Academy survey, 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 ranking is specific to the EU survey, which received 102 responses from 75 organizations; it is not a worldwide league table. U.S. workforce projections point to a separate, broader labor gap rather than a directly comparable ranking of skills.
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Which semiconductor skills are most in demand?
The strongest current demand clusters around four areas: designing systems and circuits, writing software that uses chip capabilities, applying security across the value chain, and operating or improving manufacturing processes. The mix varies by employer: a chip-design company, a fab, and a company integrating chips into cars or industrial equipment will not hire for the same roles.
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| Skill area | Examples of work | What the evidence indicates |
|---|---|---|
| System and chip design | System architecture, analog and digital design, and integration of complex systems-on-chip | System and analog design engineers were among the hardest profiles to fill in the ECSA’s 2025 EU survey. |
| Software and embedded development | Software, embedded systems, and connecting hardware capabilities to applications | Software engineers were among the hardest profiles to fill in the same survey. |
| Cybersecurity | Dedicated security expertise and security-minded engineering across products and processes | Cybersecurity experts were among the hardest profiles to fill; the report treats security as relevant across the value chain. |
| AI, data, and automation | Applying AI and data analysis to design, verification, testing, process control, quality, and reliability | AI was a leading skill priority in the survey, while some companies cited data analysis in hiring plans. |
| Fabrication and equipment | Process engineering, equipment operation, robotics, and production support | Process engineers and technicians remain needed; experienced workers can be difficult to find, although these profiles were somewhat easier to fill than the survey’s top three. |
The EU result comes from the European Chips Skills Academy’s 2025 skills strategy. It describes reported employer needs, not a count of open jobs or a ranking for every region.
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What skills are needed at each stage of the semiconductor value chain?
Chip and system design
Design work begins with defining what a chip or system must do, then deciding how its components fit together. System architecture is especially important because choices made at this level shape performance, power use, interfaces, and how hardware and software work together. Analog and digital design are distinct specialties, and the ECSA survey highlights system and analog designers as particularly hard to recruit.
Design roles generally call for deeper technical preparation than many production-floor roles. Relevant foundations include electronics, computer engineering, physics, and mathematics; the particular mix depends on whether the work is at the system, circuit, or implementation level.
Software, embedded systems, and verification
Software engineers help make chips useful in real products. Embedded developers work close to hardware in areas such as automotive systems, industrial equipment, and robotics. Verification and test work checks whether designs behave as intended, while software and hardware teams coordinate interfaces and constraints.
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Embedded software’s growing importance was already noted in McKinsey’s discussion of European semiconductor skill shifts in 2022. That is useful context, not a current hiring ranking; the newer EU survey identifies software engineers among the hardest profiles to fill.
AI, data, and edge computing
AI is a cross-cutting capability, not a replacement for engineering fundamentals. It can feature in design, verification, software, manufacturing automation, process optimization, quality, and reliability. Data analysis is also relevant where teams use operational or test data to make decisions.
Edge IoT and Edge AI—computing performed near the devices and systems generating data—raise the value of people who understand both hardware and software. In practice, that can mean collaborating across chip design, embedded development, systems integration, and application teams.
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Cybersecurity and security-minded engineering
Cybersecurity expertise is not confined to protecting a company’s IT network. Semiconductor security concerns can touch chip design, connected products, software, manufacturing systems, and the broader supply chain. The ECSA survey identifies cybersecurity experts as a hard-to-fill profile and describes security as a trend affecting work across the value chain.
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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallFabrication, process, equipment, and technician work
Fabrication relies on process engineers, technicians, equipment specialists, and people who keep production systems operating reliably. Robotics and AI-enabled tools are changing manufacturing tasks, increasing the need to work with automation and associated data alongside practical equipment and process knowledge.
These roles are not interchangeable with chip-design jobs, and neither path is inherently more valuable. A process engineer may focus on production conditions and yield; a technician may install, monitor, troubleshoot, or maintain equipment. The U.S. Semiconductor Industry Association says approximately 60% of new U.S. semiconductor manufacturing jobs will not require a four-year college degree, supporting technician and applied-training routes. This credential statistic concerns manufacturing jobs, not specialist design roles.
How do regional workforce estimates compare?
Workforce forecasts use different geographies, methods, and job categories. They show the scale of the talent challenge, but they should not be combined into one global shortage figure.
| Estimate | Geography and scope | How to interpret it |
|---|---|---|
| Nearly 115,000 additional industry jobs by 2030; about 67,000 at risk of going unfilled at current degree-completion rates | United States; Semiconductor Industry Association and Oxford Economics, 2023 | A projection, not a count of vacancies already open. Of the estimated unfilled jobs, 39% were projected to be technician roles, 35% engineers with four-year degrees or computer scientists, and 26% engineers with master’s degrees or PhDs. |
| About 10,800 skilled workers as the average annual workforce shortfall 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 geographically concentrated and spans the value chain. |
The U.S. projection groups demand into broad occupational categories, while the EU estimate and survey describe a different regional workforce picture. Neither establishes a universal ranking of semiconductor skills.
Which adjacent specialties are worth considering?
Several specialties broaden the range of semiconductor work beyond mainstream chip design and wafer fabrication. McKinsey’s analysis identifies advanced packaging, specialized ASIC applications, silicon carbide and gallium nitride materials, and embedded software as factors reshaping talent needs. Because that analysis draws partly on 2022 European evidence, these are useful areas to understand, not proof of current hiring volume or a ranked list of today’s vacancies.
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- Advanced packaging: Work on how chips are combined and connected in a finished package.
- Specialized ASICs: Application-specific integrated circuits designed for a particular use.
- Wide-bandgap materials: Silicon carbide and gallium nitride are materials relevant to specialized semiconductor applications.
- Embedded software: Software that operates close to hardware in a product or system.
How should you choose a semiconductor career path?
Start with the kind of work you want to do, then match preparation to that role and the opportunities in your region. The industry includes degree-heavy engineering positions as well as technician and applied-training routes; a single credential checklist would be misleading.
- Choose a value-chain stage. Decide whether you are more drawn to architecture and circuits, software and verification, fabrication and process control, equipment, or test.
- Identify the core work. Design roles center on systems and circuits; software roles connect chips to applications; manufacturing roles focus on processes, equipment, automation, and production data; security roles address risks across systems and products.
- Match training to the role. Specialist design positions may call for substantial technical study. For manufacturing technician roles, options can include technical or community college programs, certificates, and apprenticeships.
- Check local demand. Hiring needs and investment are geographically concentrated. Regional colleges, employers, and workforce partnerships can indicate which roles and training routes are accessible nearby.
The ECSA recommends expanding specialist training for system designers, analog designers, and cybersecurity experts, and retraining manufacturing workers to use AI- and robotics-based tools and related data. For U.S. technician pathways, the SIA points to regional partnerships, apprenticeships, boot camps, and community and technical colleges. These are workforce-development recommendations, not endorsements of particular paid programs.
What is the practical takeaway for employers and learners?
For learners, the clearest high-demand signals in the latest EU survey are software engineering, system and analog design, cybersecurity, system architecture, and AI-related capability. For employers, the lesson is that talent needs span disciplines: hiring and training plans that connect hardware, software, security, and manufacturing are better aligned with the reported demand than a narrow focus on fab-floor staffing alone.
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