The RoleWe are looking for a
distributed systems engineer to join a startup using zero-knowledge proofs to scale smart contract applications. You will be responsible for building Rust-based rollup nodes and sequencers to deliver zero-knowledge proof based products on-chain. Your work will require designing secure and efficient systems and making design choices to enable rapid development without sacrificing security.
We are looking for someone with strong engineering design skills, a security mindset, and the ability to design and implement blockchain protocols. We also value the ability to make pragmatic technology choices which empower our small team.
Who you are- You are fluent in Rust, C++, or a similarly performant backend language. We work primarily in Rust.
- You have experience deploying and monitoring high uptime applications to production in the cloud using orchestration and containerization (Docker, Terraform, Kubernetes).
- You have experience working within a large production codebase.
- You are extremely detail oriented and have a security mindset.
- You're a clear communicator and value collaboration.
- You have a bias towards action and extremely strong work ethic.
Bonuses- You have experience working with blockchain nodes like Geth, Reth, or similar.
- You have experience with low-level details of Ethereum.
- You have experience working in an adversarial or security critical environment.
Why work with us- You'll be working on groundbreaking tech that has the potential to be a key piece of infrastructure for the crypto industry
- You'll receive a competitive salary with equity
- You will work with and receive mentorship from an exceptional team
Our TeamOur founders Yi Sun and Jonathan Wang met while studying math at Harvard and have been working on ZK since 2021. Together, they wrote some of the most performant ZK circuits for elliptic curve cryptography and Ethereum data reads before starting Axiom.
Before Axiom, Yi was a professor at UChicago Statistics and did a math PhD at MIT. He was previously an advisor for Gauntlet and worked at an HFT startup from inception to profitable trading. Jonathan published number theory research in top math journals and did a math PhD at UChicago.
The rest of our small but incredibly strong team includes alums of Applied Intuition, Coinbase, Color, Neon, Google, and Perplexity as well as math / CS PhDs and IMO / IPhO / Codeforces winners. We look forward to working with you!
