Payload Testbed Tech Lead — Space RF & Validation

GMV; Tres Cantos; Hybrid; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Relocation package

Wellbeing program

Career development support

Job summary

GMV is expanding its space sector teams to lead the CELESTE IOP End-to-End Payload Testbed development. The role focuses on coordinating the technical design, requirements, architectures and test plans for a laboratory platform verifying navigation payloads for low-Earth orbit satellites.

You will work on RF signal simulation, timing references, instrumentation and data analysis, ensuring alignment across subsystems and achieving robust functional performance.

Qualifications

• Degree in Telecommunications, Aerospace, Electronics, Industrial, Computer Science or similar.
• Experience in defining and managing requirements, interfaces and architectures.
• Knowledge of radio frequency systems and chains.
• Fundamentals of signal generation, acquisition and processing.
• High level of English.

Responsibilities

• Define and maintain the functional and physical architecture of the CELESTE IOP End-to-End Payload Testbed.
• Analyze and consolidate technical requirements, interfaces and use cases.
• Break down system requirements into functions, equipment, activities and tests.
• Ensure consistency between the constellation simulator, the payload, the user receiver, the control unit and instrumentation.

Skills

Systems engineering

Requirements management

RF systems

Signal processing

English proficiency

Education

Degree in Telecommunications/Aerospace/Electronics/Industrial/CS

Job description

GMV is expanding its space sector teams to lead the CELESTE IOP End-to-End Payload Testbed development. The role focuses on coordinating the technical design, requirements, architectures and test plans for a laboratory platform verifying navigation payloads for low-Earth orbit satellites.

You will work on RF signal simulation, timing references, instrumentation and data analysis, ensuring alignment across subsystems and achieving robust functional performance.