I’ve been building a hiring company for more than ten years, and if there’s one thing I’d tell every founder, it’s that most companies don’t have an engineering talent problem. They have a hiring process problem.
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You’ve probably seen how it goes. A vague job description goes up, someone shortlists on resumes, a couple of managers run loose, chatty interviews, and three months later the person who “interviewed brilliantly” is struggling. Civil, mechanical or software, the story barely changes.
Demand isn’t the problem. The U.S. alone expects about 186,500 architecture and engineering openings every year through 2034, and that’s before counting software developers (BLS). What has got harder is telling real ability apart from a good-looking application. This year our research team ran 683 skill groups past leading AI models, and 72% of them met our bar for full or partial delegation to AI (Xobin Research, 2026). So when candidates use AI to prepare for hiring, recruiters can no longer rely on correct answers alone. A well-written resume also tells them less about a candidate’s actual skills.
When I first wrote this post in 2017, I said companies should keep hiring, but when in doubt, don’t hire. Keep looking. Most of the rest has changed.
TL;DR
To hire engineers well, define what the role must deliver, check candidates who they say they are, test them on real work from their discipline, run structured interviews against one shared bar, and close offers quickly with fair pay. Here’s each step in more detail.
- Define what the engineer must deliver in their first year.
- Write a job description that addresses the questions engineers care about most.
- Source from several channels into one pipeline.
- Verify identity before any testing begins.
- Test real work for the specific discipline.
- Run structured interviews against one shared bar.
- Move fast, pay fairly and keep good candidates warm.
What should the engineer deliver in their first year?
Focus on the actual work you need someone to handle. If you list requirements like a B.Tech degree, five years of experience, AutoCAD, and STAAD Pro, you’ll mainly attract applicants who match those details. Instead, describe a clear goal, such as completing structural drawings for two mid-rise projects by Q3. This helps you connect with people who have the right experience to deliver the results you expect.
Before the post goes live, build a one-page scorecard with the hiring manager. For a mechanical design engineer, it might look like this:
| Scorecard item | Example |
| First-year outcomes | Redesign the pump housing to cut unit cost; release two product variants with complete drawings |
| Must-have skills | Machine design, tolerance stack-up, CAD modeling, failure analysis |
| Trainable after joining | Your PLM tool, internal design standards |
| How each skill is tested | Online knowledge test, a drawing-review task, a structured interview on a past design |
When nobody has decided how a skill will be tested, it usually ends up judged on gut feel in the final round.
Different engineers need different tests
A civil engineer and a software engineer don’t need the same knowledge, so putting them through the same test doesn’t make much sense.
| Engineering role | What to test | Ready-made test |
| Civil engineer | Structural analysis, materials, codes, site judgment | Civil Engineer Test |
| Software engineer | Programming, design, debugging, code review | Software Engineer Test |
| QA / test engineer | Test design, automation, defect analysis | QA / Test Engineer Test |
| Systems administrator | Servers, networks, troubleshooting | System Administrator Test |
| Maintenance and field roles | Equipment diagnostics, safety, repair | Maintenance Technician Test, Field Service Technician Test |
Hiring mechanical, electrical, manufacturing or aerospace engineers? We have tests for those too, along with hundreds of others, in our job-role test library and skills test library.
What should an engineering job post say?
Think about what a good engineer wants to know before they’ll bother applying. Usually it comes down to four things: what they’ll own, what they’ll be paid, what problem they’ll actually work on this quarter, and where they’ll work from.
A list of modern tools may catch a candidate’s eye, but the real draw is the work they’ll get to do. Explain the challenge they’ll tackle, introduce the people they’ll work with, and include the salary range in the job post so candidates know what to expect.
Where do you find good engineers?
Wherever they already spend their time. Leaning on one portal or one agency has always been risky, and now that so many applications are written with AI, you tend to get more of them, with less signal in each.
- Referrals still work really well, especially when your engineers know what the role needs.
- Job boards and LinkedIn give you reach. Just make sure you can screen quickly.
- Professional bodies and communities, such as engineering associations, technical forums and open-source projects.
- Campus hiring makes sense when you need graduate engineers in numbers.
- Your past finalists. People who almost made it last time are often worth a second call.
Whatever mix you use, run it all through one pipeline. An ATS like Tracks keeps every candidate, score and note together, so a referral and a job-board applicant get judged the same way.
If you’re building a team from scratch at a startup, check out our startup tech hiring playbook for practical tips on finding the right people.
How do you make sure a candidate is genuine?
Check who they are before the test starts. Gartner expects 1 in 4 candidate profiles worldwide to be fake by 2028 (HR Dive, 2025), and remote engineering roles are an obvious target.
Use a few checks together: ID verification, a lockdown browser for any AI-free test sections and AI proctoring that looks at several signals at once. At Xobin, face presence, tab activity, copy-paste behavior and content matching are each treated as separate indicators. A session only gets flagged when they add up past a documented threshold, and the evidence comes attached (Xobin Research). Even then, a flag is a reason to look closer, not to reject someone outright. Later on, a live round where the candidate walks you through their own test answers clears up most remaining doubts.
Our technical screening guide explains this step in detail and shows you how to approach it.
How can you assess an engineer’s practical skills?
Ask candidates to complete a task they would likely handle in the role. Their approach can tell you a lot about their actual skills. After more than 5.3 million assessments on Xobin, one thing stands out: a person’s performance on a practical task often reveals more about their abilities than their own description of their skills.
Make the task look like the work
- A civil engineer could review a drawing with a few errors planted in it.
- A set of symptoms and measurements could be used by a mechanical or maintenance engineer to diagnose a malfunction.
- An electrical engineer could solve a load or fault calculation similar to the problems they handle in real-world projects.
- A software engineer could debug broken code or review a pull request.
Aim for about an hour. A short knowledge test plus one practical task is usually enough, and you can run both through job simulations or, for software roles, coding assessments. Decide your pass mark before results come in. One of our customers shortlisted only candidates who scored above 60%, and said it streamlined their interview process.
Decide where AI is allowed
Since most engineers already use AI in their daily work, hiring teams should set clear rules for when candidates can use it during assessments. Xobin’s data shows how quickly this practice is changing. In the first half of 2024, 75% to 100% of the technical assessment requests we received involved traditional coding tests without AI. By the first half of 2026, that figure had dropped to 25%–just under 50% (Xobin Research, 2026).
I recommend testing basic skills without AI first, then letting candidates use AI to solve a real work task. Ask them to restate the requirement, use AI however they like, test what comes out, handle one changed requirement and talk you through their decisions. It’s a format I proposed in our research rather than a validated test, but it shows you how the candidate thinks. An AI fluency assessment gives you a clearer way to review each candidate and judge their skills using the same criteria.
How do you interview engineers fairly?
Give every applicant for the same position a consistent set of key questions. Before interviews begin, create a scoring guide to help you assess each person’s answers fairly. A 2022 meta-analysis by Sackett and his colleagues reported that structured interviews had an average validity score of 0.42, compared with 0.19 for unstructured interviews, making them the strongest selection method in their analysis (SIOP).
The questions that work best ask about things the candidate has actually done.
- Civil Engineering: “Can you share an example of a change you made to a construction site plan? What led you to make that change, and how did you make sure it was safe?”
- Mechanical: “Describe a component that failed during testing. How did you figure out what went wrong?”
- Electrical: “Share an example of a protection or load problem you solved. What did you investigate first?”
- Software: “Explain a bug you shipped. How was it caught, and what did you change afterwards?”
Use a 1 to 4 rating system to assess each response, and provide examples to show what each score looks like. Ask interviewers to record their ratings independently before discussing the candidates as a group.
Hold one bar across every team
I recommend setting the same hiring standards for every candidate, even when different managers conduct the interviews. Let each team assess technical skills in its own way, but make sure every engineer meets the same requirements before you extend an offer. This approach helps maintain consistent hiring quality across teams. For large-scale recruitment, controlled AI interviews can make the first round fairer by asking all candidates the same questions. Your hiring team can then review the results and make the final decision.
How do you close the offer and keep the pipeline warm?
Good engineers usually have other options, so tell candidates the stages upfront (including where AI is allowed) and get back to them soon after the final round.
Before hiring, research salary ranges for the role, experience level, and city. Set a clear budget before you begin looking for candidates. If a strong engineer expects slightly more than you planned, consider adjusting your offer. Paying a little extra for the right person can save you from costly mistakes, project delays, and the expense of hiring someone else later.
And stay in touch with people. Treat every candidate the way you’d treat a future colleague, because word gets around. If a great engineer applies for a role you don’t have yet, tell them honestly, keep them in your talent pool and actually call when something opens up.
Where does Xobin fit?
That’s exactly what Xobin helps hiring teams do. You can test engineering skills, see how candidates handle real job tasks, run structured AI interviews, and monitor assessments, all from one platform. Xobin also covers talent management through Xobin Grow, so the same skills-first approach can continue after the hire, with skill gap analysis and learning and development. AI handles the structure and flags anything that needs a second look, but the decision stays with your team. If you’re rethinking how you hire engineers, book a 30-minute personalized demo.
Frequently asked questions
How long should the engineering hiring process take?
The hiring process doesn’t need to follow a strict timeline. What matters is that each round gives you a fresh perspective on the candidate. You might start with an online test, discuss their past projects in a technical interview, and finish with a structured conversation. If two rounds cover the same ground, drop one. Once the final interview is over, try to make your decision within a few days rather than leaving candidates waiting for weeks.
What skills matter most when hiring engineers?
Strong technical skills are essential, but they don’t tell the whole story. Engineers also need to identify problems, review their work carefully, explain technical ideas in simple terms, and work well with others. These skills help them create solutions that solve real problems, not just complete assigned tasks.
Should you hire for experience or potential?
The right approach depends on the position. For senior or specialist jobs, look for candidates who have handled similar challenges and can avoid costly mistakes. When hiring fresh graduates, focus more on their basic knowledge and willingness to learn, as you can build their skills through training. In both cases, ask candidates to show what they can do rather than relying on the number of years they have worked.
