| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Empiric Labs | New York, NY, United States | $63k - $90k | |||
SELF ID | New York, NY, United States | $72k - $85k | |||
Empiric Labs | New York, NY, United States | $51k - $75k | |||
Applied Blockchain | United Kingdom | $36k - $70k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Greenfield Source | New York, NY, United States | $62k - $90k | |||
Self ID, Inc. | New York, NY, United States | $72k - $77k | |||
Succinct | San Francisco, CA, United States | $62k - $77k | |||
Succinct | San Francisco, CA, United States | $84k - $110k | |||
Ripio | United States | $63k - $70k | |||
Horizen Labs | New York, NY, United States |
| |||
Status | London, United Kingdom | $27k - $67k | |||
Status | London, United Kingdom | $72k - $95k | |||
Status | London, United Kingdom | $72k - $95k | |||
Status | London, United Kingdom | $27k - $67k | |||
Matter Labs | United States | $54k - $75k |
About Empiric Labs
Empiric Labs is building essential zk-rollup infrastructure for Ethereum. Our work is at the cutting edge of cryptography and blockchain technology.
We are building Empiric Network, the first live oracle on StarkNet and the leading provider of robust data feeds to the ecosystem today. The network is powered by data partners that include Alameda Research, Jane Street, Gemini, CMT Digital, Flow Traders and more. Because Empiric Network is entirely on-chain, protocols using Empiric finally have access to data that is as verifiable, transparent and secure as the smart contracts themselves. Empiric is also pioneering computational feeds that combine its high-quality, real-time market data in novel ways — entirely on-chain and verifiable by leveraging zero-knowledge computation. These advanced computational feeds will enable the next generation of DeFi protocols to go beyond what is possible today.
We recently raised a $7M seed round led by Variant and joined by ecosystem partners such as StarkWare and Sandeep Nailwal (Polygon), as well as a stellar group of investors such as Thomas Bailey (Road Capital), Marc Bhagarva (Tagomi), Luke Pearson (Polychain), Max Kleiman-Weiner (Sequoia), Tekin Salimi (DAO5), Tarun Chitra (Gauntlet) and Robert Leshner (Compound).
You can read more at our docs and take a look at our open source code.
What You’ll Do
Develop secure contracts that make up our entirely on-chain architecture (Cairo & Solidity)
Create both internal and public tooling that will help us and the ecosystem move faster
Create smart contracts on the Ethereum L1 that bridge over critical data, such as Uniswap TWAP rates or Aave overnight rates (Solidity)
Think from first principles to tackle challenges at the cutting edge of cryptography, smart contracts and data - prioritizing safety and robustness
Requirements
You're living in NYC and willing to come to the office
You have deployed smart contracts to mainnet before that have traction (in terms of usage and / or TVL and / or transaction volume)
>2y of professional experience, bonus if you've worked in smart contract auditing (e.g. OpenZeppelin, Nethermind, Consensys, Trails Of Bits, Zelic...)
Please share your GitHub account, and if possible link to some of the smart contracts you've worked on
Big bonus if you've experience with the Starknet ecosystem (specifically the Cairo programming language)
Our Offer
Be at the cutting edge of web3 and help build critical infrastructure for the future of Ethereum
Learn together with a world-class team, and our friends at StarkWare and within the StarkNet ecosystem
A fast-paced, no bullshit work environment that has high expectations and helps you achieve them
Work on a project that is growing extremely quickly and has clear product-market fit in an existing market — while also pursuing moonshot opportunities to re-define trustless data fetching
Above-market compensation and meaningful equity
What is Zero-knowledge?
Zero-knowledge is a concept in cryptography that allows two parties to exchange information without revealing any additional information beyond what is necessary to prove a particular fact
In other words, zero-knowledge is a way of proving something without actually revealing any details about the proof
Here are some examples of zero-knowledge:
- Password authentication: When you enter your password to log into an online account, the server doesn't actually know your password. Instead, it checks to see if the hash of your password matches the stored hash in its database. This is a form of zero-knowledge because the server doesn't know your actual password, just the hash that proves you know the correct password.
- Sudoku puzzles: Suppose you want to prove to someone that you've solved a particularly difficult Sudoku puzzle. You could do this by providing them with the completed puzzle, but that would reveal how you solved it. Instead, you could use a zero-knowledge proof where you demonstrate that you know the solution without actually revealing the solution itself.
- Bitcoin transactions: In a Bitcoin transaction, you prove that you have ownership of a certain amount of Bitcoin without revealing your private key. This is done using a zero-knowledge proof called a Schnorr signature, which allows you to prove ownership of a specific transaction output without revealing the private key associated with that output.
- Secure messaging: In a secure messaging app, you can prove to your contacts that you have access to a shared secret without revealing the secret itself. This is done using a zero-knowledge proof, which allows you to prove that you have access to the secret without actually revealing what the secret is.