3 months ago
Remote, United States or Austin, TX, USASenior / Staff+
H1B sponsor
Responsibilities
- Design and implement backend synchronization and networking systems for reliable AI operations across edge devices, cloud environments, and isolated systems.
- Architect data synchronization frameworks using content-addressable storage, Merkle trees, and CRDTs.
- Lead performance tuning, debugging, and optimization of distributed software under resource-constrained and intermittently connected conditions.
- Apply threat modeling, secure key management, and cryptographic primitives and protocols in security-first designs.
- Collaborate with MLOps, Infrastructure, and Security teams to deploy AI components in restricted or air-gapped systems.
- Contribute to architectural design discussions and documentation for internal and external stakeholders.
- Maintain testing, observability, and validation practices supporting reliability and compliance readiness.
- Work with distributed-systems concepts including distributed hash tables, content identifiers, gossip protocols, DAGs, overlay networks, and NAT traversal.
Requirements
- 5–10+ years of experience with backend systems languages such as C++, C, Go, or Rust, depending on leveling.
- Experience with peer-to-peer or decentralized networking frameworks.
- Rust development experience is useful, but candidates can learn Rust while working in the role.
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 policy.
- Parental leave for eligible employees.
- Continuing education support.
- Basic company-paid life insurance and supplemental life insurance.
- Company-paid short- and long-term disability coverage.
- Free parking for in-office employees.
- Benefits generally apply to U.S.-based employees and may vary internationally based on local law, country-specific requirements, and the hiring entity.
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.