Aerospace Simulation Engineer – Avionics Systems

🕒 July 10

🇩🇪 Germany – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 29%

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Logo of Gramian Consulting

Gramian Consulting

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• Derive, implement, and test **component models** for avionics system simulations • Maintain and improve the overall system simulation environment • Contribute to the codebase for model evaluation, analysis, and report generation • Perform structured software testing on own and colleagues’ implementations • Maintain clean code structure, documentation, and traceability • Collaborate with technical experts on model derivation, validation, and updates • Perform **system identification** for component and system-level models based on test data • Support teams using models for flight control software verification and concept design studies • Challenge and improve technical concepts, tools, methods, and workflows

🎯 Requirements

• Master’s degree in Aerospace Engineering or equivalent • 5+ years of experience in the space or aerospace industry • Experience with simulation of **complex space or aerospace avionics systems** • Experience deriving, implementing, testing, or validating simulation models • Experience with software testing, code structure, and technical documentation • Experience using test data for model validation or system identification • Good knowledge of the **SimTG Modeling Framework is a big plus**

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