Edge AI & Embedded Signal Processing Engineer

AI Chopping Block; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

401(k) match

Health & Wellness stipend

Continuing Education support

Parental leave

Flexible Time Off

Job summary

webAI is seeking an Embedded Signal Processing Engineer to support 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 deploy AI models into embedded hardware systems for government edge environments in restricted and/or

Qualifications

• 6+ years of experience in RF and networking architecture, tactical radio systems, physical bench-test simulation environments, and distributed middleware.
• Hands-on experience with embedded systems, signal processing, and custom hardware integration.
• SWaP-C optimization, network partitioning, and multi-stream ingestion across x86 and Jetson/ARM64.
• Proficiency in C/C++ and Linux.

Responsibilities

• Coordinate with AI and Network Software Engineers to design low-latency multi-node frameworks in restricted or disconnected environments.
• Quantize, compile, and deploy real-time multi-agent pipelines for diverse edge architectures.
• Develop algorithms for asynchronous multimodal data fusion, tracking, and signal processing.
• Architect and maintain 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.
• Travel up to 25% to other webAI offices and government field sites.

Skills

RF and networking architecture

tactical radio systems

embedded systems

signal processing

cross-platform development

C/C++

Linux

Education

Bachelor's degree or equivalent

Job description

webAI is seeking an Embedded Signal Processing Engineer to support 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 deploy AI models into embedded hardware systems for government edge environments in restricted and/or