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Edge AI Systems Engineer – Public Sector
webAI™Edge AI Systems Engineer at webAI supporting production ready AI systems for secure and distributed environments in the public sector. Collaborating with engineers on hardware and software for autonomous deployment.
Posted 7/31/2026full-timeWashington D.C. • Texas, Washington • 🇺🇸 United StatesMid-LevelSeniorWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in RF and Networking Architecture, with a strong focus on developing and deploying algorithms for real-time multi-agent systems and signal processing. Proficient in Python and C++ within Linux environments, with hands-on experience in embedded and edge AI systems.
Highest-signal resume keywords
RF And Networking ArchitectureReal-Time Multi-Agent PipelinesPython ProgrammingC++ ProgrammingEmbedded And Edge AI Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Signal ProcessingMultimedia PipelinesPhysical Bench-Test SimulationAsynchronous Multimodal Data FusionNetwork PartitioningSWaP-C OptimizationCross-Platform DevelopmentAlgorithm DevelopmentSystem CalibrationField-Testing
Tools & Technologies
LinuxJetson/ARM64X86
Industry Keywords
Tactical Radio SystemsDistributed MiddlewareHardware-In-The-Loop SimulationMulti-Node Communication FrameworksUnstructured Environments
Tech Stack
Tools & technologiesAssemblyLinuxNode.jsPython
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Competitive salary
- Comprehensive health, dental, and vision benefits package
- 401(k) match (U.S.-based employees only)
- $200/month Health & Wellness stipend
- Continuing Education support
- $500/year Function Health subscription (U.S.-based employees only)
- Free parking for in-office employees
- Flexible Time Off (FTO)
- Parental leave for eligible employees
- Supplemental life insurance