The AI Systems Engineer will design AI architectures, build training pipelines, optimize models for edge inference, and manage model lifecycles.
Evolved Aerospace develops mission-critical aerospace systems designed for real operational use.
We combine autonomy, software, sensing, and systems integration to deliver capability that performs in contested and constrained environments — not just in test settings.
Our work is guided by a simple principle: platforms are means, not the objective. Mission outcomes define success.
AI Systems Engineer (Edge / MLOps)
Location: Linkoping, Sweden
Team: Munin CCI
You’ll architect and deploy AI systems spanning onboard and offboard components, focusing on performance, reliability, and real-world deployment.
Responsibilities
- Design Munin’s core AI architecture
- Build training and deployment pipelines
- Implement multi-agent coordination logic
- Optimise models for real-time edge inference
- Manage model monitoring, updates, and lifecycle
- Drive synthetic data strategies
Core Skills
- Deep learning architectures
- Edge/offboard AI systems
- Model optimisation (quantisation, pruning)
- Dataset engineering
Tools & Tech
- PyTorch
- TensorRT
- ONNX
- Docker
- MLflow/W&B
If you’re driven by real-world impact, we’d like to hear from you.
Apply below or contact Connor Hird via LinkedIn or [email protected].
Evolved Aerospace is an equal opportunity employer.
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