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)
This is a full time onsite position.
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 Connor.Hird@evolved.aero.
Evolved Aerospace is an equal opportunity employer.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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