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Machine intelligence will soon take over humanity’s role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks – with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence.
As a Systems Engineer at Gensyn, your responsibilities would see you:
- Build simple software components that help solve complex challenges in distributed machine learning training
- Contribute to and maintain the Gensyn node, CLI, and related tools by implementing new features (e.g., adding CLI flags, ML execution orchestration, new network protocols), optimizing existing solutions (e.g., using memory-mapped files or more efficient data structures), fixing bugs, and participating in architectural design
- Conduct code reviews to uphold high standards of code quality across the team
- Measure and optimize existing components to ensure they meet end-user requirements effectively
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