devjobs.de

Software Infrastructure Engineer

Reflex Aerospace GmbH · Berlin | Deutschland · Hybrid, Onsite

Gehalt auf Anfrage

Gefunden am 05.06.2026

Match

84%

Fit in Skills, Kultur und Entwicklungspfad.

Beschreibung

Job Zusammenfassung In diesem Job entwickelst du die Softwareinfrastruktur zur Simulation und Emulation von Satelliten, erstellst Simulatoren für Tests und integrierst diese in CI-Pipelines und Testumgebungen. Job Zusammenfassung In diesem Job entwickelst du die Softwareinfrastruktur zur Simulation und Emulation von Satelliten, erstellst Simulatoren für Tests und integrierst diese in CI-Pipelines und Testumgebungen. Deine Rolle im Team Join the Systems Integration and Verification (SIV) team to develop the software infrastructure that lets us simulate and emulate our satellites and their environments on both our Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testbeds. You will work closely with FSW (Flight Software), AOCS (Attitude and Orbit Control Systems), AIT (Assembly, Integration and Test) and other engineering teams to understand our missions and to design simulation infrastructure tailored to specific mission needs. Investigate mission- and system-level needs and derive requirements for the simulation environment. Design and implement basic interface simulators for simple aliveness and integration tests. Develop full functional simulators or emulators for key subsystems to support end-to-end testing. Evaluate and integrate realistic environment simulation solutions and build the infrastructure to use them in our SIL and HIL setups. Integrate simulations with our continuous integration (CI) pipelines and manual test campaigns, ensuring they are reliable, reproducible and easy for other teams to use. Unsere Erwartungen an dich Ausbildung Bachelor's degree in Computer Science, Aerospace Engineering or related fields or equivalent work experience. Qualifikationen Comfortable working in Ubuntu/Linux environments and using the command line as part of your daily workflow. Familiarity with Docker. Erfahrung Strong proficiency in Python, including experience with the scientific stack (e.g. NumPy, SciPy, Pandas) for implementing and analyzing simulations. Experience building or using simulation tools for dynamic systems (e.g. physics-based or hardware emulation). Proven experience in the aerospace industry, ideally with direct exposure to flight software and hardware. Proficient with Git and experienced using GitLab and CI pipelines - you should be comfortable managing branches, handling merge requests, and troubleshooting CI issues independently. Experience with Basilisk or similar simulation frameworks. Experience integrating simulations into SIL/HIL setups or automated test environments. Experience with InfluxDB and Grafana. Unser Angebot Collaborate with a diverse multinational team crafting the next wave of cutting-edge satellites. Embark on this exciting journey with us from the outset, leaving your indelible mark on a dynamic company and playing a direct role in shaping the future of the space industry. Keep your energy levels high with company-sponsored memberships for Urban Sports Club. As well a discount in the public transport. We provide a hybrid work model along with flexible working hours, empowering you as the owner of your time management. Nestled in the heart of Friedrichshain, our Berlin office provides a lively and central hub easily accessible by transit. Immerse yourself in a neighborhood teeming with vibrant restaurants and year-round cultural events. Enjoy the flexibility of ample vacation time, including a special company holiday on April 12th dedicated to celebrating the International Day of Human Spaceflight. Themen mit denen du dich im Job beschäftigst AI Architecture Integrations Metadaten Level: Erfahren Job Feld: IT, Application, DevOps Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Startup Branche: Luft-, Raumfahrt Ort: Berlin | Deutschland

Tech Stack

DockerPython

Warum passt du zu dieser Stelle?

Fit technisch: Stark auf Backend und API-Architektur.

Gaps: Fehlende Tool-Erfahrung in 1-2 Schlüsselbereichen.

Success-Wahrscheinlichkeit: Hoch bei schneller Einarbeitung.