Edge AI Systems Engineer - webai

Special Notice:

This position is NOT contingent upon awarding of a project or needing a funding source. This is full-time employment with webAI.

About the Role

We are seeking an Edge AI Systems Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments. This role sits at the intersection of real-world tactical hardware, machine learning, signals processing, and multisensor engineering, translating them into autonomous field deployment.

You will be responsible for deploying and prototyping AI models into embedded hardware systems for government edge environments in restricted and/or disconnected environments.

The ideal candidate will be based in Austin, Texas and able to work primarily in person. However, for exceptionally qualified candidates, the Company may, in its sole discretion, consider applicants located in the Washington, D.C./Northern Virginia area or, on a case-by-case basis, candidates who are fully remote.

Qualified candidates who are not based in Austin, Texas may be asked to travel to our Austin, Texas headquarters.

Responsibilities

• Coordinate with AI and Network Software Engineers to design low-latency multi-node communication frameworks in restricted and/or disconnected environments.
• Quantize, compile, and deploy real-time multi-agent pipelines for readiness across diverse edge architectures.
• Develop algorithms for asynchronous multimodal data fusion, tracking, and signal processing.
• Architect and maintain high-fidelity Hardware-in-the-Loop simulation environments to test autonomy algorithms.
• Lead physical assembly, system calibration, and ruggedized field-testing of multi-node prototypes in unstructured environments.

Qualifications

• 6+ years of professional experience in RF and networking architecture, tactical radio systems, physical bench-test simulation environments, and distributed middleware.
• Hands-on experience with at least two of the following: embedded & edge AI systems, computer vision, signal processing, multimedia pipelines, custom hardware integration.
• Strong understanding of physical SWaP-C optimization, network partitioning, multi-stream ingestion and cross-platform development across x86 and Jetson/ARM64.
• Demonstrated expertise in Python, C++, deep fluency in Linux.
• Bachelor’s degree in a relevant field, or equivalent practical experience/military service. Advanced field experience is heavily

preferred

.

Preferred

Skills:

• Experience developing, testing, or deploying autonomous software on tactical military or defense systems and open architecture standards.