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Solidity Smart Contract Engineer - Remote

Posted Yesterday
Software Development
Full Time
Worldwide

Overview

The role involves designing, engineering, and auditing smart contracts for Gensyn, focusing on machine intelligence and its integration with human intelligence.

In Short

  • Design and engineer solidity smart contracts
  • Write smart contracts for ML workflows
  • Conduct security audits of smart contracts
  • Test and debug code for production readiness
  • Strong experience in Solidity required
  • Lower level systems programming experience preferred
  • Understanding of Rollups is essential
  • Familiarity with modern testing frameworks needed
  • Experience in venture-backed start-ups is a plus
  • Exposure to AI systems is advantageous

Requirements

  • Very strong production experience in Solidity
  • Experience with smart contracts handling funds
  • Lower level systems programming experience
  • Strong understanding of Rollups
  • Familiarity with testing frameworks like Mocha and Chai
  • Experience with oracles is a plus
  • Conceptual understanding of ML workflows preferred
  • Experience in AI systems is nice to have

Benefits

  • Competitive salary + equity and token pool
  • Fully remote work
  • Visa sponsorship available
  • All expenses paid company retreats
  • Flexible vacation and paid sick leave
  • Company-sponsored health, vision, and dental insurance
Gensyn logo

Gensyn

Gensyn is at the forefront of machine intelligence, aiming to revolutionize knowledge-keeping and creation through advanced neural networks. Founded on the principles of open, permissionless, and neutral protocols, Gensyn focuses on developing the essential compute hardware and software that enables machine intelligence to thrive alongside human intelligence. The company fosters a culture of autonomy and direct feedback, emphasizing small, efficient teams that prioritize focus and reject mediocrity. With a commitment to innovation and high standards of code quality, Gensyn is dedicated to building solutions for complex challenges in distributed machine learning.

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