AI Systems Engineer (Edge / MLOps)

Evolved Aerospace • Elmira, NY

14h • Onsite

About The Position

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. 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.

Requirements

• Deep learning architectures
• Edge/offboard AI systems
• Model optimisation (quantisation, pruning)
• Dataset engineering
• PyTorch
• TensorRT
• ONNX
• Docker
• MLflow/W&B

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed