What are the responsibilities and job description for the Distributed Systems Engineer position at Eidon AI?
We are a team of AI & Crypto researchers and engineers (coming from DeepMind, Google Web3, and other leading AI/Crypto companies) with the long-term mission of co-creating the full decentralized AI stack in a trustless and permissionless way, with fair compensation for participation and contribution, that advances and benefits all of humanity. Our first focus is on decentralizing Data and building personalize agents.
Our team is small, operating in a flat structure, highly motivated, and focused on engineering excellence. Eidon is a place for those who like to take ownership, have strong curiosity & do-it energy, appreciate challenging themselves, and are ready to work in the intersection of multiple knowledge areas. All employees are expected to be hands-on and to contribute directly to the mission of advancing decentralized AI. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong listening and communication skills. Sharing knowledge openly, concisely, and accurately with teammates is a baseline requirement.
We are funded by top tier VCs from the Valley
Job Description
Eidon AI is seeking a Distributed Systems Engineer to decentralize AI inference systems and other critical parts of the AI stack. You will lead the work of implementing decentralized solutions for data alignment inference, model inference, and distributed storage while maintaining high performance and reliability.
Responsibilities
- Design and implement decentralized versions of our AI inference pipelines
- Work closely with blockchain engineers to integrate decentralized inference systems into the blockchain consensus logic
- Develop distributed storage solutions for AI data and models
- Optimize performance and reliability of decentralized inference systems
- Implement and maintain protocols for distributed consensus and data integrity
- Contribute to the architecture of our decentralized AI stack
- Engineering background (e.g., CS, CE, or EE degree or equivalent experience)
- Strong experience in distributed systems and parallel computing
- Deep knowledge of decentralized AI inference frameworks and architectures
- Familiarity with blockchain technology and consensus algorithms
- Experience with high-performance computing and optimization
- Understanding of distributed consensus protocols
- Proficiency in systems programming languages such as Rust and Go.
- Experience with AI/ML deployment and inference systems
Compensation and benefits are top-of-the-line competitve.
