Senior Rust Developer

Posted 3hrs ago

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Job Description

Senior Rust Developer building scalable peer-to-peer networking for Fortytwo’s decentralized AI protocol on Monad. Developing resilient distributed systems for decentralized AI nodes.

Responsibilities:

  • 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
  • Preferred: Experience with WebAssembly (WASM) and cross-platform Rust development
  • Preferred: Familiarity with decentralized AI concepts and swarm intelligence
  • Preferred: Knowledge of containerization tools such as Docker and orchestration frameworks such as 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
  • Research-driven environment
  • Autonomy in work
  • Opportunity to work on foundational AI challenges
  • Open-source contribution opportunities