Edge AI Systems Engineer – Field Deployment & Edge ML

webAI; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive health, dental, and vis

401(k) match (U.S.-based)

Health & Wellness stipend $200/month

Continuing Education support

Function Health subscription $500/year

Free parking for in-office employees

Flexible Time Off (FTO)

Parental leave for eligible employees

Supplemental life insurance

Job summary

webAI seeks an Edge AI Systems Engineer to advance production-ready AI systems for secure, distributed environments. The role sits at the intersection of hardware, machine learning, signals processing, and multisensor engineering, translating them into autonomous field deployment.

The ideal candidate will be based in Austin, Texas, with in-person work preferred. Exceptional candidates in DC/NOVA or fully remote may be considered, with travel to Austin HQ as needed.

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.

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

edge AI systems

computer vision

signal processing

multimedia pipelines

custom hardware integration

Python

C++

Linux

Education

Bachelor's degree or equivalent

Tools

Jetson/ARM64

x86 cross-platform development

Job description

webAI seeks an Edge AI Systems Engineer to advance production-ready AI systems for secure, distributed environments. The role sits at the intersection of hardware, machine learning, signals processing, and multisensor engineering, translating them into autonomous field deployment.

The ideal candidate will be based in Austin, Texas, with in-person work preferred. Exceptional candidates in DC/NOVA or fully remote may be considered, with travel to Austin HQ as needed.