Senior Rust Developer

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July 4

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Fortytwo

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Artificial Intelligence • B2B • SaaS

Fortytwo is a decentralized AI network that allows anyone to contribute to planetary-scale intelligence by running AI models on everyday hardware. The platform enables users to participate in a community-driven AI ecosystem where multiple consumer devices collaborate to enhance the speed and accuracy of AI inference. By collectively processing user requests, Fortytwo's nodes facilitate smarter, faster, and more efficient AI solutions, operating without centralized control to ensure openness and accessibility.

1 - 10 employees

Founded 2024

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

📋 Description

• Design and implement high-performance, secure, and scalable peer-to-peer networking protocols in Rust. • Develop distributed systems that enable decentralized AI nodes to communicate and collaborate effectively. • Ensure robust fault-tolerance and resilience in networked systems through testing and optimization. • Collaborate with blockchain engineers, protocol developers, and AI researchers to integrate the network layer with Fortytwo's decentralized AI stack. • Optimize performance for diverse computing environments, including edge devices and cloud systems. • Contribute to open-source projects and documentation that advance Fortytwo's mission.

🎯 Requirements

• 3+ years of experience in Rust development, with a focus on distributed systems or peer-to-peer networking. • Strong understanding of networking protocols such as TCP/IP, UDP, WebRTC, and libp2p. • Experience in building scalable and resilient distributed systems. • Proficient in designing systems with security and fault-tolerance in mind. • Familiarity with decentralized technologies, including blockchain, consensus algorithms, and cryptographic techniques. • Experience with WebAssembly (WASM) and cross-platform Rust development. • Familiarity with decentralized AI concepts and swarm intelligence. • Knowledge of containerization tools (e.g., Docker) and orchestration frameworks (e.g., Kubernetes).

🏖️ Benefits

• Engage in meaningful AI research – Work on decentralized inference, multi-agent systems, and efficient model deployment with a team that values rigorous, first-principles thinking. • Build scalable and sustainable AI – Design AI systems that reduce reliance on massive compute clusters, making advanced models more efficient, accessible, and cost-effective. • Collaborate with a highly technical team – Join engineers and researchers who are deeply experienced, intellectually curious, and motivated by solving hard problems.