1 month ago
Remote, United States or Austin, TX, USASenior / Staff+
H1B sponsor
Responsibilities
- Design and implement backend synchronization and networking systems for distributed AI across edge devices and isolated government cloud environments.
- Architect data synchronization frameworks using content-addressable storage, Merkle trees, and CRDTs.
- Tune, debug, and optimize distributed software under resource constraints and intermittent connectivity.
- Apply threat modeling, secure key management, and cryptographic primitives and protocols.
- Deploy and integrate AI components in restricted and air-gapped systems with MLOps, Infrastructure, and Security teams.
- Contribute to architecture discussions and documentation for internal and external stakeholders.
- Maintain testing, observability, validation, reliability, and compliance-readiness practices.
- Travel 25–50% to webAI offices, government field sites, and test sites across the United States.
Requirements
- 5–10+ years of experience with backend systems languages, depending on leveling.
- Experience with peer-to-peer or decentralized networking frameworks.
- Active U.S. security clearance.
- Backend systems language experience in C++, C, Go, or Rust is relevant; development will be done in Rust.
- Knowledge of concepts such as IPFS-like systems, torrents, content identifiers, distributed hash tables, gossip protocols, DAGs, overlay networks, and NAT traversal is relevant.
Benefits
- Competitive salary and performance-based incentives.
- Comprehensive health, dental, and vision benefits, including a high-deductible HSA option with company contribution.
- 401(k) match for U.S.-based employees.
- Flexible PTO, parental leave for eligible employees, and continuing education support.
- Company-paid basic life insurance, supplemental life insurance, and short- and long-term disability coverage.
- Free parking for in-office employees; benefits may vary for employees hired outside the United States.
About webAI
webAI builds an end-to-end platform for training, deploying, and operating private AI models on infrastructure customers control, including edge devices. It sells enterprise software and developer SDKs/APIs used by public-sector, defense, aviation, and manufacturing teams to run specialized models with data sovereignty. Founded in 2020 and headquartered in Austin, Texas, the privately held company focuses on distributed AI/LLM infrastructure across local and cloud environments.