Edge AI Systems Engineer
webAI is a sovereign AI platform that lets organizations build, deploy, and operate custom AI on their own infrastructure. It serves enterprise teams across industries such as healthcare, manufacturing, financial services, aviation, public sector, and retail.
Projects
About webAI
webAI provides a full-stack, locally operated AI platform for enterprises seeking private, controllable AI. Its platform includes Navigator for building, training, and deploying custom models; Companion, an on-device AI assistant; Runtime for distributed workload orchestration; webFrame for optimized inference and training; Network for secure local connectivity; and a CLI for programmatic management. The company emphasizes data sovereignty, local deployment, predictable costs, and support for edge devices and private clusters.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and optimize production-ready AI systems for secure, distributed government edge environments. You will deploy models to embedded hardware, design low-latency communication frameworks, optimize and deploy multi-agent pipelines, develop multimodal fusion and signal-processing algorithms, maintain hardware-in-the-loop simulations, and lead prototype assembly, calibration, and field testing.
Requirements
- Active US Security clearance
- 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 and edge AI systems, computer vision, signal processing, multimedia pipelines, and custom hardware integration
- Understanding of SWaP-C optimization, network partitioning, multi-stream ingestion, and cross-platform development across x86 and Jetson/ARM64
- Expertise in Python, C++, and Linux
- Bachelor’s degree in a relevant field or equivalent practical experience or military service
Responsibilities
- Coordinate with AI and Network Software Engineers to design low-latency multi-node communication frameworks
- Quantize, compile, and deploy real-time multi-agent pipelines across edge architectures
- Develop algorithms for asynchronous multimodal data fusion, tracking, and signal processing
- Architect and maintain hardware-in-the-loop simulation environments
- Lead physical assembly, system calibration, and ruggedized field testing of multi-node prototypes
Benefits
- 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