Aerospace Engineering Capacity: The Short Version
Aerospace engineering capacity is the constraint suppliers can actually control. Sub-tier shortages are not fixable from your desk; the hours your own team burns on release mechanics are. inteliScience combines NX Open automation with senior nearshore engineers from Romania to free one to two FTE of capacity without a Western hire.
| Hiring your way out | Automation + nearshore capacity | |
|---|---|---|
| Time until capacity arrives | 168–214 days to fill one role | 8–12 weeks to first automation in production |
| Effect on unit cost | Rises with every hire | Falls with every release cycle |
| What happens at the next ramp | Hire again | The automation already scales |
The Problem: The Ramp Is Real, the Hiring Market Is Not
Two things are true at once in 2026, and they point in opposite directions.
The demand side has never looked better. The global commercial aircraft backlog passed 17,000 units this spring — roughly twelve years of production at current rates. Production growth targets across the US and Europe between 2024 and early 2026 ran 20% to 500% above previous levels.
The supply side did not move with it. Bain analyzed 15 major aerospace and defense programs and found that 87% named supplier bottlenecks — not labor, not engineering, not capital equipment — as the chief obstacle to working down those backlogs. Deloitte’s 2026 outlook puts it as two binding constraints side by side: supply chain performance and workforce capacity.
Now read that honestly, because it matters for what you do on Monday.
Where the Supply Chain Ends and Your Engineering Hours Begin
You cannot fix your sub-tier’s capacity from your own desk. If a forging house is booked out for eighteen months, no amount of internal improvement changes that date. Treating the industry-level bottleneck as your personal problem is how engineering leaders end up busy and stuck.
What you do control is the second constraint: how many engineering hours it takes you to get a change through your own house. A tolerance revision, a variant for a new customer, a drawing set for a supplier, an FAI package — that is your release mechanics, and it is entirely inside your boundary.
That distinction is the whole argument of this article. The industry constraint is the supply chain. Your constraint is throughput per engineer. Those are different problems and only one of them is yours to solve.
And the usual solution to the second one is blocked. Filling a specialist engineering role in German mechanical engineering takes 168 days on average, 214 days for positions requiring a degree. Engineering leads the shortage statistics with roughly 170,000 open positions in Germany at the start of 2026. You can post the requisition today and still be short of capacity in the second half of next year.
What Actually Eats the Hours
In the supplier teams we work with, somewhere between a third and half of engineering hours never touches design intent at all. It goes into release mechanics:
- Building the next variant of a part family that already exists in eight versions
- Deriving drawings because the customer or the authority still wants them
- Assembling FAI and inspection documentation characteristic by characteristic
- Maintaining attributes and keeping the PLM structure consistent
- Repeating all of the above after every change
None of that is engineering judgment. It is transcription — and transcription is exactly what NX Open automates well, because the input is structured and the output is checkable. We walked through the aerospace-specific cases, including a working PMI export, in our piece on Siemens NX in aerospace.
The senior engineer you cannot hire is currently doing work that does not need a senior engineer.
The Math: Automation Against Headcount
Numbers make this concrete. Take a supplier engineering team of six, at roughly 1,600 productive hours each — 9,600 hours a year.
| Assumption | Hours | |
|---|---|---|
| Total engineering capacity | 6 engineers × 1,600 h | 9,600 |
| Share going into release mechanics | 40% (our range: 30–50%) | 3,840 |
| Automatable share of that work | 60–70% | 2,300–2,700 |
| Capacity freed | ≈ 1.4–1.7 FTE |
Now compare the two ways to get those 1.5 FTE.
Hire two CAD engineers in Germany. Average base salary for a CAD design engineer sits around €52,400, before employer overhead. The vacancy runs 168 to 214 days before anyone starts, and the cost is permanent and rises annually. At the next ramp, you repeat the exercise.
Automate the release mechanics with a nearshore team. Senior engineers in Central and Eastern Europe bill in the €40–70 per hour range, against €80–150 for Western European contractors — a 40–60% delta at comparable seniority and largely overlapping working hours. A well-scoped automation reaches production in 8–12 weeks. Once it is live, the freed hours recur every year at maintenance cost, not at salary cost.
Our clear recommendation: do not treat these as alternatives. Run them together. The automation returns the hours; the nearshore team builds and maintains the automation, and absorbs peak load while it does.
Want senior engineering capacity without the local hiring pain? How we staff and run nearshore engineering teams from Romania is on our services overview.
The honest limits
Two cases where this argument does not hold. If your bottleneck genuinely is a machine, a furnace or a certification authority’s queue, freeing engineering hours changes nothing about your delivery date — fix the real constraint instead. And if your part families are genuinely one-off, the automation has nothing to amortize against; variant automation needs variants.
Why Automation and Nearshore Belong Together
An automation nobody owns is a liability. This is the failure we see most often: a contractor writes a clever journal, it works, and eighteen months later it breaks on an NX upgrade with nobody left who understands it. The inteliScience standard for NX Open automation and add-in work is a regression suite against representative test parts, plus version pinning — the same discipline we describe for AI-assisted NX Open code generation.
That ownership is what a team buys you and a freelancer does not. inteliScience is an engineering partner, not a staffing agency: the same engineers who build your automation keep it running through the next NX release, and Siemens ships roughly twice a year.
Need that engineering capacity for your own NX work? With our Siemens NX nearshore development team you get NX and PLM engineers employed by us in Cluj-Napoca, working under a service contract at day rates.
Three practical reasons Romania works for aerospace suppliers specifically:
- One hour ahead of DACH — a question at 09:00 is answered at 09:05, not overnight. For release-critical work that difference is the whole game.
- Inside the EU — GDPR applies natively, and data stays in EU jurisdiction. For export-controlled geometry, the deployment model still needs its own review, but the legal baseline is not a workaround.
- Depth in engineering software — not only web developers. NX Open, C#, Python, Teamcenter customization.
The salary delta is real, but it is not the point. If you hire cheaply and produce automation nobody maintains, you have bought a future outage at a discount.
Frequently Asked Questions
How much engineering capacity can automation realistically free?
In our projects, one to two FTE for a team of six, provided a meaningful share of hours goes into repetitive release work. The honest test is simple: if your engineers cannot name three recurring tasks they do every week, the potential is smaller than the sales pitch suggests.
Is nearshore cheaper than hiring in Germany?
Per hour, yes — senior CEE engineers bill roughly 40–60% below Western European contractor rates. But the durable saving is not hourly. It is not having to fill a 168-day vacancy, and not carrying a permanent salary line for work that automation should have absorbed.
How long until the first automation is in production?
For a well-scoped case such as drawing derivation or FAI documentation, 8 to 12 weeks including the test harness. Anything promising two weeks is skipping the verification, which is the part that makes it survive the next NX release.
Does this work under ITAR or export control?
It depends on the data, not on the model. Geometry and inspection data that are export-controlled need a deployment where the data does not leave your boundary, and a documented access model. We scope that before any code is written, not after.
Do we lose control if engineering sits abroad?
Only if you outsource the design intent. The split we recommend keeps requirements, review and release authority with you; the nearshore team builds, tests and maintains the automation against your standards. Overlapping working hours mean that stays a working relationship, not a handover.
Next Step
Bring one number to a 60-minute call: how many engineering hours a month go into variants, drawings and inspection documentation. We will tell you what is automatable, what it costs, and whether nearshore capacity makes sense alongside it — or whether your bottleneck is somewhere else entirely.