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WebAI

Modular secure edge AI platform

Senior/Staff Software Engineer - Distributed Systems

Backend EngineeringPosted on Nov 10
Full-timeAustin, TX, USAIn-person

About the Job

Requirements

  • 5–7+ years of software engineering experience building robust systems software or distributed networking services.
  • Strong proficiency in Rust or another systems-level language such as Go, C, or C++.
  • Demonstrated experience with store-and-forward architectures, delay-tolerant networks (DTN), asynchronous input/output (I/O), or local device-to-device transport layers such as Bluetooth Low Energy (BLE), TCP/IP, or socket-level asynchronous networking.
  • Practical experience solving synchronization challenges under intermittent, contested, or low-throughput network constraints (DDIL).

Responsibilities

  • Design and implement store-and-forward transport and data synchronization protocols tailored for low-bandwidth, high-latency, and DDIL field conditions.
  • Implement local peer discovery and asynchronous I/O transports over heterogeneous physical links, including Wi-Fi, Bluetooth/BLE, and ad-hoc mesh networks.
  • Apply delay-tolerant networking (DTN) principles and local conflict-free data synchronization, such as CRDTs and content-addressable storage, to keep mission-critical applications functioning offline indefinitely.
  • Integrate applied software components deployed at the edge with core infrastructure.
  • Apply memory management and debugging techniques to resource-constrained systems to improve the network.
  • Understand and implement authorization and authentication security patterns suitable for DDIL and contested environments.
  • Partner with hardware, mobile, and forward-deployed teams to validate end-to-end functionality under simulated and live field constraints.

Desired Qualifications

  • Familiarity with hybrid mobile/cloud application architecture and state reconciliation.
  • Hands-on experience testing and evaluating wireless networking hardware and software in physical field or operational testing environments outside traditional lab or SCIF environments.
  • Background in content-addressable data structures, Merkle DAGs, or CRDTs.
  • Expertise in embedded hardware or robotics orchestration.

About the Company

WebAI

Modular secure edge AI platform

WebAI provides a modular, secure Deep Learning Platform designed for research, distributed deployment, and enterprise AI, optimized for edge computing with limited connectivity. Clients collect, train, and deploy neural networks autonomously through a subscription-based suite of AI tools, with optional custom model development and deployment support. It differentiates itself with edge-friendly operation, low data requirements, robust security, and a modular architecture that easily integrates with existing systems. Its goal is to make advanced AI accessible to a broad audience while delivering reliable, enterprise-grade solutions for industries like healthcare, finance, and manufacturing.

Company size
51-200
Company stage
Series A
Total funding
$77M
Headquarters
Austin, TX
Founded
2020

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