OverviewIn this role you define and optimize end-to-end SAR system performance for Earth Observation payloads.
You model systems, evaluate image quality, and lead Cal/Val campaigns, collaborating with RF, antenna, payload, and data processing teams on international space programs.
You drive architecture trade-offs and support AIT/V&V; to enable mission success.
This is a hands-on, leadership-minded role shaping advanced SAR capabilities.
Compensaciones / Beneficiosvacation days plus additional days off
competitive salary
hybrid working model
life and health insurance
employee stock options
retirement plan
ResponsabilidadesEnd-to-End Performance Modeling: build and maintain system-level models and simulators to predict SAR performance and allocate requirements
Image Quality Evaluation & Budgets: monitor instrument-level budgets and assess metrics such as spatial resolution, NESZ, radiometric accuracy, and ambiguity ratios
System Architecture & Trade-Offs: perform trade-off analyses on orbit parameters, frequency bands, PRF, and antenna configurations
Calibration & Processing Support: drive SAR processing verification, focusing algorithms, and Cal/Val strategies using in-orbit and ground data
AIT & V&V; Integration:



define and support Assembly, Integration and Testing and Verifications across lab and environmental campaigns
Project Milestones & Technical Leadership: produce performance documentation and represent the team in reviews and customer exchanges
Requisitos principales5–10 years in remote-sensing microwave instrument development with a strong SAR focus
Deep command of SAR principles and radar performance metrics (NESZ, SNR, ambiguity suppression)
Experience with end-to-end signal processing chains and numerical modeling
Proficiency in Python and/or MATLAB for modeling and simulation
Strong analytical problem-solving and ability to manage multiple projects autonomously
Excellent English (advanced); Spanish valuable; French or German desirable
Willingness to travel for test campaigns and reviews
Experience with ESA development lifecycles and space engineering standards (ECSS, MIL-STD, CCSDS) is desirable
Analytical problem-solving
Autonomy in workload management
Collaborative skills in multidisciplinary teams
SAR principles
Radar performance metrics (NESZ, SNR, ambiguity suppression)
End-to-end signal processing

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