Apply for this position and join us in building Europe’s next generation infrastructure.
Our values are rooted in responsibility, readiness, and long term thinking. We believe sovereignty must be designed into systems from the start. Readiness is achieved through capability, not procurement. Autonomy is infrastructure, not a feature. We build with the understanding that modern systems carry long term consequences. That is why we prioritise reliability over novelty, integration over isolation, and sustained capability over short term advantage.
Role Overview
We're building autonomous aerial systems that think onboard - the future of the unmanned
ecosystem. As our UAS Systems Architect for Edge AI, you'll own the end-to-end technical
architecture of those systems, from first principles through fielded capability. This is a senior
individual contributor role. You'll define architecture, write specs, lead design reviews, and
get your hands dirty in integration testing and flight trials. If you're the kind of engineer who
wants to see their decisions fly, read on.
Key Responsibilities
Onboard compute & system architecture - Select and justify UAV hardware, define
thermal management, memory, and power budgets within tactical SWaP constraints.
Produce and maintain ICDs, system block diagrams, requirements decomposition
trees.
- Cross-functional technical leadership - Drive architecture decisions across
firmware, ML, flight controls, payload, RF, and test engineering through design
reviews, trade studies, and risk assessments.
- AI inference pipeline - architect the sensor-fusion and inference stack: raw
multi-modal input (EO/IR, thermal, RF). Own the model on board lifecycle.
- GNSS-denied navigation - implement positioning architectures that hold up under
EW-contested and GNSS-denied conditions.
- Multi-vehicle coordination - architect swarm topologies with real-time task
allocation, formation management, autonomous re-planning when needed.
- Communications & networking - collaborate on defining the communications
architecture across the platform stack.
- Safety-critical decision logic - design fail-safe behaviors (abort, return-to-base,
self-destruct triggers), HITL and HOTL authorization gates.
- Security architecture - Define security integration, cryptographic chain-of-custody
for operator decisions, and compliance mapping to relevant standards.
- Verification & validation - Define acceptance criteria, HIL/SIL test architectures,
scenario scripting, fault injection, and performance benchmarking.
- Systems engineering documentation - Own ConOps, SRS, and ICD documents.
This is a systems engineering role as much as it is a software role.
Experience & Skills
Required:
- Master's in Electronic Engineering, Computer Science, Aerospace, Robotics, or
related field (Bachelor's accepted with strong experience; PhD is a plus)
- 5+ years in systems architecture, embedded systems, or autonomy engineering in
aerospace, defence, or robotics
- 2+ years experience with developing UAS, autonomous vehicles, or comparable
real-time robotic platforms
- Proven AI/ML inference deployment on embedded hardware under real-time
SWaP constraints, including quantization, optimization, and lifecycle management
- Knowledge of RTOS, embedded Linux, and deterministic scheduling for
safety-critical applications
- Hands-on GNSS-denied navigation: VIO, SLAM, inertial navigation, and
multi-source position fusion
- Demonstrated multi-agent autonomy design: swarm coordination, distributed task
allocation, and mesh networking
- Safety-critical systems background: fail-safe logic, fault-tree analysis, hazard
assessment, HITL/HOTL architectures
- Solid systems engineering fundamentals: requirements decomposition,
traceability, V-model V&V, and configuration management
- Embedded security architecture: secure boot, HSM integration, key management,
and tamper-evident logging
- Systems modelling fluency: SysML/UML, ICDs, ConOps, trade-study frameworks
- Comfortable reading and writing C, C++, and Python across firmware, middleware,
and application layers
- Experience with ROS 2, PX4/ArduPilot, MAVLink, or UAVCAN
- Ability to lead cross-functional teams without direct authority - aligning firmware,
ML, hardware, RF, and test engineers around shared architectural decisions
- Strong written communication: clear specs, ICDs, trade studies, and technical risk
assessments that actually drive decisions
- Comfortable in field-test and HIL environments; willing to support flight trials and
rapid iteration cycles
- English - Advanced or above
Preferred:
- 2+ years deploying edge AI on UAS, autonomous vehicles, or comparable
real-time robotic platforms
- ML deployment toolchains: TensorRT, ONNX Runtime, OpenVINO, or Hailo
Dataflow Compiler
- Defence standards familiarity: DO-178C, MIL-STD-882E, STANAG 4586, MISRA
C, FIPS 140-2
- Prior flight-test experience with autonomous aerial platforms, including test-plan
authoring and post-flight analysis
- Onboard mission planning, path optimization, VRP solvers, or
Kalman-filter-based tracking
- Embedded Linux build systems (Yocto, Buildroot) and custom board bring-up
- Publications at ICRA, IROS, CVPR-UAV workshops, or IEEE Aerospace
- Background in ISR, SIGINT, EW, or strike mission domains
What guides our decisions?
Our values are rooted in responsibility, readiness, and long term thinking. We believe sovereignty must be designed into systems from the start. Readiness is achieved through capability, not procurement. Autonomy is infrastructure, not a feature. We build with the understanding that modern systems carry long term consequences. That is why we prioritise reliability over novelty, integration over isolation, and sustained capability over short term advantage.
[01]
Design with scale in mind.
We develop systems as part of an ecosystem that is intended to grow.
Scale is not an afterthought, but a design principle that shapes architecture, integration, and evolution.
[02]
Build a solid foundation.
We prioritise core architecture, interoperability, and long term resilience.
A strong foundation enables systems to adapt without fragmentation.
[03]
Practice over theory.
We value learning through application.
Systems are shaped by real use and continuous refinement, not by abstract assumptions.
[04]
Commitment beyond delivery.
We take responsibility for what we build over time.
Commitment means supporting systems throughout their lifecycle and ensuring they remain relevant, secure, and under control.
We are hiring talent across multiple roles, contributing to Europe’s readiness and long term capability.
We are building a multidisciplinary team across engineering, systems architecture, operations, and supporting functions. Open roles reflect the needs of a growing secure and autonomous infrastructure company, where integration, reliability, and long term thinking matter. If you do not see a position that matches your profile, we still encourage proactive applications from people aligned with our mission and values.
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