Edge AI Systems Engineer – Real-Time, Field-Ready

webAI; Washington (District of Columbia); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, and vision benefits

401(k) match

Health & Wellness stipend

Education support

Function Health subscription

Free parking

Flexible Time Off

Parental leave

Supplemental life insurance

Job summary

webAI is seeking an Edge AI Systems 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 be responsible for deploying and prototyping AI models into embedded hardware systems for government edge 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.

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.

Skills

RF & networking

Embedded & edge AI

Python

C++

Linux

Education

Bachelor's degree

Tools

HW-in-the-Loop

Job description

webAI is seeking an Edge AI Systems 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 be responsible for deploying and prototyping AI models into embedded hardware systems for government edge environments