We are seeking a RADAR Algorithm Engineer to support the development of a phased array radar payload for in‐orbit Rendezvous and Proximity Operations (RPO) and Close Proximity Operations (CPO) applications. The candidate will contribute to the system‐level design, mathematical modeling, and algorithmic integration of radar data processing within a dedicated edge processing platform.KEY RESPONSIBILITIES
Lead the design, development, and testing of digital signal processing (DSP) and radar data processing algorithms (e.g., target detection, tracking, clutter mitigation, and Doppler processing).Develop and optimize beamforming strategies, monopulse techniques, and direction-of-arrival (DOA) algorithms for phased array concepts tailored to RPO/CPO applications.Assist in defining algorithmic requirements and specifications, and interface with suppliers for processing hardware and components.Conduct comprehensive algorithm simulations and performance analysis to support validation.Collaborate with hardware, RF, and system engineers to ensure algorithms are compatible with payload constraints and embedded architectures.Assist in validating algorithm performance in compliance with strict space environment requirements.Document algorithm design specifications, mathematical models, and simulation results according to internal engineering standards.
REQUIRED QUALIFICATIONS
Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or equivalent.3+ years of experience in algorithm development, ideally focused on radar signal processing or phased array systems.Solid experience with radar systems, phased array concepts, and digital signal chains.Proficiency in MATLAB, Python, or equivalent tools for algorithmic modeling and simulation.Strong foundation in mathematics, probability, and signal processing theory.
PREFERRED QUALIFICATIONS
Exposure to RPO/CPO or space situational awareness systems.Experience in translating high-level algorithms into deployable code for embedded systems or FPGAs.Familiarity with phased array antenna calibration concepts.Understanding of ECSS standards or space payload development processes.
KEY COMPETENCIES
Solid analytical and problem-solving skills.Ability to work within a multidisciplinary team.Good technical communication for reporting and documentation.
WHAT WE OFFER
Permanent contract, CCNL (National Collective Labour Contract) TelecommunicationsOwnership of critical systems from early design to flight qualificationAccess to lab hardware for integration, with direct interface to avionics and roboticsA chance to shape the future of autonomous space robotics operations
Kurs Orbital is an Italian startup that aims to democratise in‐orbit servicing and space logistics markets with its innovative ARCap module. ARCap is a standardised rendezvous module that can enable any spacecraft to autonomously perform rendezvous and docking manoeuvres, even with non‐cooperative targets. The system integrates robotic manipulators, RADAR, LiDAR, and machine vision sensors to perform safe and autonomous docking for LEO and GEO missions.#J-18808-Ljbffr