Senior AI & Flight Dynamics Integration Engineer (All genders)

SKD SE

München, Germany

7 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Languages

English

Job source

www.indeed.com

Tech stack

Artificial Intelligence Software Suite Computational Fluid Dynamics Computer Engineering Python (Programming Language) Rapid Prototyping Process Wireless Sensor Networks Large Language Models

Job description

Develop LLM and AI Agent-based engineering workflows to interpret aircraft requirements and support iterative design decisions.
Automate parametric aircraft geometry using OpenVSP, Python, and STEP-based CAD workflows.
Integrate Flow5 (VLM / Panel Methods) and OpenFOAM CFD to build aerodynamic databases including C_L, C_D, C_m, C_p, and stability derivatives.
Develop 6-DoF flight dynamics and flight mechanics models, including trim, stability, control authority, propulsion, and aircraft performance calculations.
Integrate aircraft KPIs such as take-off/landing speed and distance, range, endurance, rate of climb, and efficiency into an automated optimization loop.
Drive multidisciplinary design optimization (MDO) frameworks to rapidly evaluate aircraft trade-offs.
Collaborate with systems and software teams to validate dynamic models against simulation and flight test data., The proliferation of low-cost UAS has fundamentally changed the threat landscape, and STARK is building the system that counters it. As Product Manager for our C-UAS C2 software suite, you will own the vision and execution of the central intelligence layer connecting sensor networks to effector tasking. Your mandate is clear: compress the DTIM loop, reduce operator cognitive load, and ship a product that works when lives depend on it.

Requirements

Minimum 5+ years of relevant professional experience in engineering automation, aerodynamics, or flight systems.
Strong background in Flight Dynamics, Aerodynamics, and Stability & Control.
Demonstrated experience with Python and engineering workflow automation.
Hands-on experience with OpenFOAM, VLM/Panel methods, or OpenMDAO.
Degree in Aerospace, Aeronautical, Systems, Computer Engineering, or a related field.

Nice to have

Direct knowledge and experience with OpenVSP and Flow5.
Hands-on experience integrating LLM APIs, AI Agents, and modern MDO tools.
Experience in unmanned aerial systems (UAS) or rapid-prototyping defence environments.