Edge AI Systems Engineer - Distributed, Field-Ready

ProducePay; Town of Texas (WI); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, vision benefits

401(k) match (US)

Health & Wellness stipend

Education support

Commuter/parking benefits

Flexible Time Off

Parental leave

Life insurance

Job summary

webAI is seeking an Edge AI Systems Engineer to deploy and prototype AI models into embedded hardware for government edge environments, including restricted or disconnected settings. The role focuses on low-latency multi-node communication and real-time pipelines across diverse edge architectures.

The ideal candidate has 6+ years in RF/networking, hands-on experience with embedded/edge AI or related fields, and strong Python/C++/Linux skills.

Qualifications

• 6+ years of professional experience in RF and networking architecture, tactical radio systems, and distributed middleware.
• Hands-on experience with at least two of: embedded & edge AI, computer vision, signal processing, multimedia pipelines, and custom hardware integration.
• Strong understanding of SWaP-C optimization, network partitioning, and cross‑platform development across x86 and Jetson/ARM64.
• Demonstrated Python, C++, and Linux proficiency.
• Bachelor’s degree in a relevant field, or equivalent practical experience; advanced field experience 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 architecture

Embedded & edge AI

Python

C++

Linux

Cross‑platform development

Education

Bachelor's degree or equivalent

Tools

HW-in-the-Loop

Job description

webAI is seeking an Edge AI Systems Engineer to deploy and prototype AI models into embedded hardware for government edge environments, including restricted or disconnected settings. The role focuses on low-latency multi-node communication and real-time pipelines across diverse edge architectures.

The ideal candidate has 6+ years in RF/networking, hands-on experience with embedded/edge AI or related fields, and strong Python/C++/Linux skills.