Edge AI Systems Engineer - Public Sector

WebAI
Washington, Austin
Workplace: HybridFull timeFunction: IT Operations (Systems/Network Admin)Experience: 6+ yearsEducation: bachelorsSkills: ["Truth","Ownership","Tenacity","Humility"]

Build and deploy production-ready edge AI capabilities for secure public-sector environments, translating machine learning and signals processing into autonomous field deployment. Coordinate low-latency multi-node communication in restricted or disconnected settings, quantize/compile and deploy real-time multi-agent pipelines, and develop multimodal fusion and tracking algorithms. Create and maintain hardware-in-the-loop simulation testbeds, then lead assembly, calibration, and ruggedized field-testing of multi-node prototypes.

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FursaFursa
WebAI
WebAI
5 days ago

Edge AI Systems Engineer - Public Sector

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build and deploy production-ready edge AI capabilities for secure public-sector environments, translating machine learning and signals processing into autonomous field deployment. Coordinate low-latency multi-node communication in restricted or disconnected settings, quantize/compile and deploy real-time multi-agent pipelines, and develop multimodal fusion and tracking algorithms. Create and maintain hardware-in-the-loop simulation testbeds, then lead assembly, calibration, and ruggedized field-testing of multi-node prototypes.
Location: Washington, Austin
Workplace: Hybrid
Employment Type: Full time
Job Function: IT Operations (Systems/Network Admin)
Seniority: Mid level

Key Responsibilities

  • •Coordinate with AI and Network Software Engineers to design low-latency multi-node communication frameworks for 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 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: Low travel

Pay and Benefits

Perks:Health InsuranceDentalVision401kLearning BudgetParental LeaveParking

Key Requirements

  • •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: embedded & edge AI systems, computer vision, signal processing, multimedia pipelines, or 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 and C++, with deep fluency in Linux.
  • •Bachelor’s degree in a relevant field (or equivalent practical experience/military service).
Experience:6+ years
Education:Bachelor's
Skills:TruthOwnershipTenacityHumility
Tech Stack:RFNetworkingTactical radio systemsHardware-in-the-loopBench-test simulationDistributed middlewareEmbedded AIEdge AIComputer visionSignal processingMultimedia pipelinesPythonC++LinuxSWaP-CNetwork partitioningMulti-stream ingestionX86JetsonARM64

Company Brief

WebAI
Provides an AI platform to build, deploy, and manage web-based AI applications, offering tools for natural language, vision, and web automation so businesses and developers can integrate intelligent features into websites and products.
Industry: AI & Machine Learning
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