What is the interview process like at Leonardo for a Systems Engineer, and how many stages are there?

For Leonardo Systems Engineer roles, candidates typically go through an initial screening, a technical assessment, and a final interview phase. The guide also notes that interview formats can vary by location and division, so the exact structure may differ. In many cases you may present a past project, and interviewers probe your responses deeply to understand your contribution and thought process.

How hard is it to get an offer for Leonardo Systems Engineer roles, and what offer rate do candidates report?

Candidates report the overall difficulty as average for Leonardo Systems Engineer interviews. Out of 62 reported interviews, the offer rate reported by candidates is 61%. This gives you a reasonable baseline that offers are achievable, but not guaranteed.

What technical topics are tested for Leonardo Systems Engineer interviews?

Preparation should focus on radar and sensing fundamentals, since top topics include Radar Fundamentals, Radar Theory, Radar Signal Spectra, Backscattering, and Link Budget Equation. You should also be ready for related systems and signal reasoning areas like Multipath Propagation, Atmospheric Attenuation, and Probability and Statistics. The guide’s example technical themes also emphasize systems engineering lifecycle, systems architecture and integration, and explaining link budget or radar backscattering.

What should I prioritize when preparing for the technical assessment at Leonardo as a Systems Engineer?

Be ready to connect your background to radar or sensor-related domains and describe your past project clearly, including your role and decisions. The technical assessment may involve presenting a past project and then discussing it, so practice explaining your approach step by step and the trade-offs you made. The guide also emphasizes structuring messy or ill-defined scenarios by defining the problem, identifying constraints, evaluating trade-offs, and proposing a solution.

What salary range do candidates report for Leonardo Systems Engineer roles?

Compensation reports show a base starting at $38,000 and a total maximum around $75,000. Candidate reports indicate pay varies by level and location, so the final numbers can differ from these bounds. Use these figures as a planning reference when you decide how to position your experience.

What kinds of behavioral questions does Leonardo ask a Systems Engineer candidate?

Expect questions that test how you handle team dynamics and constraints, such as times you solved a problem with incomplete information or built trust in a team. You may also be asked about adhering to strict rules and regulations, handling feedback from a supervisor, and explaining why you want to work at Leonardo. The guide also stresses being able to communicate technical concepts to non-technical stakeholders.

LeonardoSystems Engineer

Updated Jun 14, 2026

Leonardo Systems Engineer Interview Experiences 2026

Real, anonymous reports from people who interviewed for Systems Engineer at Leonardo, newest first and distilled into what to expect across the loop.

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Hot & recentNewest first

5 months ago

Average Negative Luton, East of England, England

I went through an automated online interview after applying, and then I waited much longer than I expected. Months passed with no meaningful update, and the whole experience felt awkward and disrespectful of the time candidates spend preparing.

What stood out was the lack of clarity—if they weren’t going to move forward, it would have felt better to hear that sooner rather than staying in silence. The difficulty of the questions themselves wasn’t what bothered me most; it was the process afterwards, and how poorly it communicated its status.

6 months ago

Difficult Positive Luton, East of England, England

After a recruiter call, I had a short introduction call with the team and then moved straight into a two-hour technical interview. Beforehand, the recruiter shared an information pack about the steps, which made the process feel more organized than I expected. The difficulty was on the harder side mainly because it went deeper into my own research.

The questioning mixed competency and technical themes, and it leaned heavily toward my PhD work. I had to clearly explain what I studied and how I approached the technical problems behind it, not just give high-level descriptions.

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