Who we are:SAPPER INTELLIGENCE is a young, fast moving startup, building AI powered sensors for limitless recognition! We are building outstanding solutions to overcome human limitations of remote sensing and object recognition. Our first drone based GPSAR module enables the detection and inspection of objects in the soil or covered in other ways. We have first government customers ordering and testing our Prototypes. Our base is the former Berlin Tegel Airport with a larger area to test and build outstanding things. This is probably one of the most unique work locations in the world!
Your Job: We are looking for SAR Engineering Talents with hands-on experience and passion in building and integrating SAR solutions. Your primary responsibility will be to design, implement, and optimize the software pipeline that transforms raw radar impulses into the best possible SAR imagery.
The ideal candidate has experience not just with algorithms, but with building complete, production-grade SAR systems ideally across the full product lifecycle, from concept to deployment.You will work closely with hardware engineers, algorithm specialists, and software developers to ensure that our radar data processing is efficient, accurate, and scalable.You will be part of a small, early and focused team working closely with the company founders. Your actions will directly shape and impact the technical advancements. You will design, assemble, and test advanced radar systems, including airborne (e.g., drone-based) configurations. Key ResponsibilitiesDesign and implement robust pipelines to process raw radar returns into high-quality SAR imagesDevelop, test, and optimize imaging algorithms (back-projection, range-Doppler, Omega-K, etc.) tailored for airborne and ground-penetrating radar systemsBuild production-ready processing frameworks that are reliable, scalable, and suitable for real-time or near-real-time operationImplement motion compensation, time-zero alignment, geometric spreading correction, background subtraction, and other SAR-specific correctionsWork with hardware and platform teams to integrate the pipeline into a deployable payload.Contribute across the SAR system development lifecycle — from simulation and design through testing, validation, and deploymentEnsure efficient use of compute (GPU/CPU) for high-speed SAR image generationWork with AI engineers to provide clean, high-quality SAR data outputs for automated detection and classification tasks
Required QualificationsStrong background in Synthetic Aperture Radar (SAR), ideally having worked on end-to-end system designProven experience in SAR image formation algorithms and processing pipelinesHands-on software development experience in Python, C++, or CUDA (GPU acceleration a big plus)Knowledge of radar systems, RF fundamentals, and signal processingExperience with motion compensation, calibration, and error correction techniques in SARStrong system-level thinking: ability to bridge between algorithm R&D and deployable production codePreferred QualificationsExperience working on defense-grade SAR systemsExperience with SAR payloads for airborne platforms (aircraft, UAVs) or even spaceborne satellitesExperience with material penetrating SARWho Should ApplyEven if you don’t meet every single requirement, we strongly encourage you to apply. We value practical experience, problem-solving skills, a start-up-like attitude and a hands-on mindset.
Why us
Join a fast-moving startup working directly with the founders on cutting-edge tech with a direct, real-world impact. What you build here will save lives. We offer competitive compensation, VSOP options, a hands-on environment where ideas turn into prototypes fast, and the chance to shape both the product and the company from the ground up.Our base is the former Berlin Tegel Airport, complete with a huge outdoor testing area, making it one of the coolest work locations in the world. We have secured strong funding to get you all the tools and support you need.
NOTE / HINWEIS:
EN: Please refer to Fuchsjobs for the source of your application
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Stelleninformationen
Veröffentlichungsdatum:
05 Dez 2025
Standort:
Berlin
Typ:
Vollzeit
Arbeitsmodell:
Vor Ort
Kategorie:
Erfahrung:
Erfahren
Arbeitsverhältnis:
Angestellt
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