Distributed Systems Engineer - Remote

Overview

Pluralis Research is pioneering Protocol Learning—a fully decentralised way to train and deploy AI models that opens this layer to individuals rather than well-resourced corporates. By pooling compute from many participants, incentivising their efforts, and preventing any single party from controlling a model’s full weights, we’re creating a genuinely open, collaborative path to frontier-scale AI. If you want your work to shape the future of truly open innovation in artificial intelligence, join us.

In Short

• Optimise P2P connections and ensure efficient data flow under bandwidth constraints.
• Design for fault tolerance in multi-participant training environments.
• Collaborate with AI teams to merge research with large-scale distributed systems.
• Implement encryption and authentication best practices for security.
• Profile system bottlenecks and propose performance optimisations.

Requirements

• Deep experience building and operating high-throughput, fault-tolerant systems.
• Solid understanding of peer-to-peer topologies and routing frameworks.
• Comfortable with the full software lifecycle including architecture and maintenance.
• Passion for collaborative development and reshaping AI infrastructure.
• Familiarity with crypto/blockchain frameworks is a bonus.

Benefits

• Equity-heavy package with ownership or token allocations.
• Competitive base salary.
• Optional full visa sponsorship and relocation support.
• Remote-first culture with a flexible work environment.
• Work at the intersection of AI and decentralised systems.