Airbus Upnext Spain - Uas Simulation & Virtual Engineering Lead (m/f)
Airbus UpNext S.L.
Getafe, Madrid, Spain
Hybrid
Distributed virtual engineering architecture
Simulink model-based design and code generation
Hla dds arinc 610 integration standards
Airbus UpNext is seeking a UAS Simulation & Virtual Engineering Lead for their Getafe, Madrid location to spearhead the development of high-fidelity simulation environments for autonomous UAS operations. The role emphasizes expertise in distributed simulation frameworks, model-based design, and leadership in a dynamic, agile setting focused on innovation in aerospace technology
Job Summary
You will define and lead the Simulation and Virtual Engineering ecosystem to create high-fidelity, distributed environments for testing autonomous UAS operations.
The role requires deep expertise in bridging abstract models and real-time flight data using tools like Simulink, HLA, and DDS to ensure digital continuity.
Join a fast-paced team backed by Airbus that values a 'test-and-fail-fast' culture while offering flexible working arrangements and premium benefits.
Matching Summary
Match Score: 85
Airbus UpNext is seeking a UAS Simulation & Virtual Engineering Lead for their Getafe, Madrid location to spearhead the development of high-fidelity simulation environments for autonomous UAS operations. The role emphasizes expertise in distributed simulation frameworks, model-based design, and leadership in a dynamic, agile setting focused on innovation in aerospace technology.
Skills & Requirements
Must-have
Distributed Virtual Engineering architecture
Simulink model-based design and code generation
HLA DDS ARINC 610 integration standards
Live Virtual Constructive (LVC) system leadership
High-fidelity flight dynamics and sensor modeling
CI/CD simulation toolchain orchestration
Grafana InfluxDB telemetry dashboard development
Nice-to-have
Agile startup mindset with speed of execution
Leadership of multidisciplinary technical teams
Experience with RTOS-based embedded environments
IP networking and latency management expertise
Strong skepticism for slow progress
Ability to translate high-level objectives to roadmap
Key Requirements
Expert-level experience with Simulink and auto-code generation
Proven ability to model complex physical systems including GNC and actuators
Background in leading multidisciplinary teams in agile environments
Solid knowledge of IP networking and synchronization protocols
Deep expertise in distributed frameworks and real-time simulation architectures