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SAR - InSAR Algorithm Engineer

Pubblicato il 27-08-2026 - E-Geos in Roma

Leonardo is an international industrial group and a global leader in Aerospace, Defence, and Security, delivering multi-domain technological capabilities across the sectors of helicopters, aircraft, aerostructures, electronics, cybersecurity, and space.

Within

Leonardo’s Space Division, e-GEOS —a company owned by ASI (20%) and Telespazio (80%)—is a leading international player in the Earth Observation and geospatial information sector, offering a unique portfolio of application services. Within the "SAR Algorithms" organizational unit we are looking for a SAR - InSAR Algorithm Engineer at the Rome Office.

About the role

We're strengthening the algorithmic core of our team, which develops large-scale Earth Observation data processing capabilities based on satellite radar data. This role focuses on implementing, optimizing, and designing SAR and InSAR algorithms. You'll join the Algorithms and Prototypes unit, reporting to the team lead.

What you'll do

Implement and optimize SAR and InSAR processing algorithms, based on published literature and on designs from the team.

Prototype algorithmic improvements in Python, evaluating them against real data and reference results.

Refine validated prototypes toward robust, well-tested implementations suitable for large-scale processing.

Analyze algorithm performance and output quality, identifying and diagnosing issues in processing results.

Contribute to algorithm validation and collaborate with engineering team to integrate them into the processing pipeline.

Over time, contribute your own algorithmic designs, building on a solid theoretical and mathematical foundation

Required:

Master’s Degree in Physics, Engineering/Scientific or Earth Sciences; with emphasis on EO data processing algorithms and validation.

2–5 years of experience in remote sensing, signal processing, or a closely related field.

Solid knowledge of SAR fundamentals.

Strong Python skills for algorithm prototyping (numpy, scipy,



and the scientific Python ecosystem).

A solid mathematical background (signal processing, linear algebra, statistics/estimation).

Rigorous approach to validation/verification activities.

Ability to write clear, structured, maintainable code.

Strong teamwork and collaboration skills.

English proficiency at B2 level or above (written and spoken).

Nice to have:

Knowledge of InSAR techniques (strong plus).

Experience bringing scientific code to production level (testing, code review, performance optimization).

Experience with Linux.

Proficiency with Git and collaborative development workflows (branching, merge/pull requests, code review).

Familiarity with large-scale or distributed data processing (e.g. HPC environments, Dask).

Experience with geospatial data handling and formats (e.g. QGIS, GeoParquet, Zarr).

Experience working on ESA projects and familiarity with ECSS standards.

What we offer

Our collective bargaining agreement is the CCNL "Industria Metalmeccanica Privata e della Installazione di Impianti"

Working mode: Hybrid

Contract category: Clerk

Contractual type: permanent

Thirteenth month;

Reward related to Business results;

Welfare vouchers;

Ticket of 8.50 euros

Opportunities for training and continuous updating of professional skills and soft skills;

Well-being: We put the economic, physical, social and psychological well-being of our people first, offering multiple solutions close to their needs.

What we offer

Our collective bargaining agreement is the CCNL "Industria Metalmeccanica Privata e della Installazione di Impianti"

Working mode: Hybrid

Contract category: Clerk

Contractual type: 12-month fixed term

Thirteenth month;

Reward related to Business results;

Welfare vouchers;

Ticket of 8.50 euros

Opportunities for training and continuous updating of professional skills and soft skills;

Well-being: We put the economic, physical, social and psychological well-being of our people first, offering multiple solutions close to their needs.

Salary range: 35k€-44k€

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