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Darwin Space are currently hiring for a CTO in Italy. This is a full-stack deep-tech CTO role bridging hardware, aerospace, AI, and industrialization.
Job Responsibility:
End-to-End System Architecture and Define the architecture of the full stack: Platforms (balloons, HAPS evolution), Payload integration (third-party sensors, SAR, optical), Data pipeline (processing, fusion)
Aerospace & Hardware Engineering Leadership and Oversee design and evolution of: Stratospheric platforms, Flight systems and control architecture and Power, thermal, and payload integration. Define engineering standards for: Reliability, Redundancy and Mission-critical systems
Certification & Regulatory Compliance, Ensure compliance with: Aviation and stratospheric flight regulations, Defense and dual-use requirements and Data security and sovereignty constraints. Lead technical interface with: ESA, EUSPA, national defense bodies and Certification authorities
AI, Data & Platform Strategy, Oversee development of: CLEAR platform, Data pipelines and infrastructure, AI models and agent-based systems. Ensure that AI capabilities are: Grounded in real data, Scalable across use cases and Align AI roadmap with data acquisition capabilities
Engineering Execution with Own delivery of: Platform evolution roadmap and CLEAR MVP and subsequent releases. Establish scalable engineering processes: Hardware + software integration workflows and Testing and validation pipelines. Maintain balance between: Speed (startup execution) and Robustness (deep-tech reliability)
Team Building & Leadership to Build and lead a multi-disciplinary team of Aerospace engineers, Hardware engineers, AI / software engineers and Systems engineers
Requirements:
Strong experience in complex engineering systems, ideally including: Aerospace, robotics, or other mission-critical hardware domains
Proven ability to: Lead hardware + software integrated systems and Scale engineering teams
Experience with: Productization of deep-tech systems (from prototype to production)
Solid understanding of: System architecture (multi-layer, multi-domain)
Hands-on mindset
Experience in: Stratospheric systems, UAVs, satellites, or HAPS and Payload integration (optical, SAR, sensors)
Familiarity with: Defense or dual-use environments and Certification processes (aviation, space, or similar)
Exposure to: AI / data platforms and Geospatial or EO systems