AI Optimization Engineer, Edge & Embedded Systems

Role Title: AI Optimization Engineer, Edge & Embedded Systems
Location: Arlington, VA (Primarily On-site, Hybrid Flexibility Available)

Employment Type: Full-Time

Overview:

A pioneering organization at the intersection of advanced autonomy and national security is seeking a driven AI Optimization Engineer to spearhead the deployment of machine learning models in mission-critical edge environments. From UAVs and aerospace payloads to mobile intelligence systems, this role is vital in enabling real-time AI inference in highly constrained environments—where compute, power, and bandwidth are limited but reliability is non-negotiable.

What You’ll Do:

• Develop and deploy high-performance AI and machine learning models tailored for embedded and low-power platforms.

• Convert, compress, and optimize models using advanced tools such as ONNX, TensorRT, OpenVINO, and TVM.

• Partner with internal R&D teams to transition model...