Space Systems Engineer - Hardware & Software Adaptation

We integrate automation, AI and robotics to build solutions for the security and defence domain. Our focus is intelligent systems that combine embedded software, computer vision and edge-AI for autonomous platforms.

We're looking for an engineer who researches with their hands - someone who moves fluidly between reading a spec, running the numbers and building a prototype. You'll take our stack into the space domain: work out what the environment demands, design how our hardware and software adapt to it, and turn that into concrete engineering decisions the team can build on. This is hands-on R&D, not a desk study.

What you'll do:

• Analyse how the space environment constrains our hardware, software and sensors, and translate that into concrete design requirements;
• Design and evaluate architectural options for adapting our systems to space platforms - trade-offs, not just descriptions;
• Prototype and test approaches to onboard data processing under space-domain constraints;
• Benchmark existing space platforms and missions - Earth observation, space domain awareness, orbital inspection, autonomous docking - and pull out what's reusable for us;
• Adapt our computer-vision stack to run on constrained onboard compute;
• Define the qualification path for hardware and software against space standards;

Skills & experience

Required:

• Engineering background in aerospace, space systems or a closely related field - and a track record of building, not only analysing;
• Understanding of space-environment physics - radiation effects (TID, SEE, displacement damage), thermal modelling, vacuum degradation of materials;
• Solid grasp of satellite system architecture - payloads, onboard computers, communication subsystems;
• Hands-on experience with sensors or electro-optical systems - the limits of cameras, optics and detectors, and how to design around them;
• ML / computer vision - working knowledge of how vision models are built, trained and run on satellite and electro-optical data;
• Deploying ML models on edge / onboard compute (TensorRT, ONNX) and engineering around their constraints;
• Strong systems thinking - structure your own work, prototype fast and deliver results with minimal supervision;

Nice to have:

• Hands-on involvement in a space project, a CubeSat mission, or a hardware R&D programme;
• Familiarity with ECSS standards (E-ST-10, E-ST-20, Q-ST-60) or NASA technical standards;
• Experience with space component selection and qualification;
• Knowledge of in-orbit operations - how satellites are tracked, how approach and docking are performed, station-keeping and orbital manoeuvres;

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• Background in optics, multispectral/hyperspectral imaging or lidar systems;
• Experience with real-time onboard data processing - running compute on the platform, not only on the ground;
• Comfort writing clear technical documentation and design notes;

What we offer:

• Autonomy: full freedom to choose your tools, methodology and technical direction. Minimal bureaucracy.
• Close to engineering: you work alongside a team that builds real systems for autonomous platforms - your work ships, it doesn't sit in a folder.
• Unique domain: a rare chance to work at the intersection of two frontier fields.
• Format: full-time, fully remote, flexible schedule with defined hours for team sync.
• Mission: a direct contribution to Ukraine's defence capability and Europe's security resilience.

If this sounds like you - don't wait, reach out today. Looking forward to meeting you :)