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Monad Labs is creating the foundation for a new world of powerful decentralized applications. We've developed the first parallel EVM executor, and have paired it with significant innovations on consensus, pipelining, and storage to build the Monad blockchain, an ultra-performant EVM-equivalent blockchain supporting 10,000 TPS while remaining highly decentralized.
Founded by Jump Trading alums, our team solves challenging problems in distributed systems engineering and low-latency optimization, authoring software innovations that enable a new, high-performance decentralized system that is backward-compatible with existing EVM apps and Ethereum infrastructure. We are backed by notable leaders in the crypto space, including Dragonfly, Cobie, and Hasu.
Our mission is to enable a new universe of decentralized apps—use cases and user flows that are currently impossible—by drastically reducing EVM computation costs. Ultimately, our work will unleash the power of decentralization to make the world more efficient and fair.
The Role
We are looking for software engineer new graduates with strong experience in both low-level C/C++ programming and smart contract development in Solidity.
Our team extends the EVM to enable additional functionality while preserving backward compatibility. Your blend of skills make you ideally suited to contribute to the effort. You will leverage your knowledge of high-performance C++ to design and build new VM features, and then use your smart contract development experience to implement core infrastructure that directly leverages the new functionality.
You'll be given a lot of responsibility, and you'll work on high-impact problems that are core to our team's mission. You will learn a lot by being part of a small, hyper-focused team with high engineering standards and coding practices. We think that you'll find the work very challenging and rewarding.
Note: We use email for communications, please check your Spam filter for @monad.xyz or @greenhouse-mail.io domains.
Who you are
You're graduating before June 2023 with a BS, masters, or doctorate (or equivalent) in computer science or a related field.
Required:
- You're fluent in C++ with excellent knowledge of lower-level details like memory management and multithreading
- You've taken an operating systems class
- You have significant experience developing smart contracts in Solidity
- You have extensive knowledge of smart contract security and common pitfalls (e.g. you understand the cause of all major historical reentrancy attacks and other vulnerabilities)
- You have experience writing extensive unit and integration tests
- You're resourceful and able to work fairly independently
- You value communication and collaboration
- You're excited about working in a startup, where you'll wear many hats and be given significant responsibilities
- You're experienced with kernel development
- You've contributed to open source projects
- You'll collaborate with the rest of the team to develop features of the Monad VM, aka EVM++
- You'll contribute to design and development of major projects with a smart contract component such as bridges, order books, staking, and NFT minting services. This will draw on your knowledge of existing tools as well as leveraging new primitives in Monad's VM.
- You'll develop rigorous unit and integration tests, and thoroughly consider potential attack vectors
- You'll contribute to architectural decisions that maximize security and minimize trust requirements
- You'll contributing to tools that help both our team and end users be more productive
- You'll use our tech stack: C++, go, clang, LLVM, gdb, perf, unix, git
Working at Monad Labs means doing challenging work on a high-impact problem with exceptional teammates.
Here are some of the people you'll work with:
- James, performance engineering expert and system architect; previously designed and built ultra-low-latency systems for a top high-frequency trading team at Jump Trading;
- Ariq, expert at low-level firmware and software programming; previously a senior engineer at Arista Networks, where he served as lead maintainer on multiple linux kernel networking drivers for Arista EOS devices;
- Aashish, expert systems designer and hacker, previously the first engineer at Pattern Research, a leading crypto HFT firm, where he designed and built the entire trading stack from scratch
- You'll quickly develop your skills as a professional software engineer through meaningful and challenging responsibilities, combined with excellent mentorship from our team
- You'll work on extremely challenging problems with massive potential impact
- You'll work with and learn from a small, exceptional team
- You'll receive a competitive compensation package with a competitive base salary and equity
- You'll shape the culture as an early employee and make impactful contributions from day one
- You'll be part of a flat, results-driven organization
- Your work will be deeply impactful, enabling much cheaper and more efficient decentralized computation and ultimately paving the way for new dapps that improve many people's lives.
Minimum full-time salary of $200,000 - $250,000. (**This is not a guarantee of compensation or salary; a final offer amount may vary based on factors including but not limited to experience and geographic location.)
Monad Labs' benefits include unlimited and encouraged paid time off; 100% medical, dental, and vision coverage; 401(k) participation; home office equipment stipend; monthly wellness/fitness stipend; and 11 company-observed holidays.
This is a NYC-based role. The majority of our team is in NYC and works together 2-3 days a week.
We sponsor visas; please let us know if you'll require this.
What kind of jobs can I get with C++?
C++ is a popular programming language that is widely used in a variety of industries, including software development, web3, blockchain, gaming, finance, and engineering
Here are some jobs you could consider with a strong background in C++ programming:
- Software Developer: As a software developer, you will use C++ to create software applications, systems software, or even operating systems.
- Blockchain Developer: C++ is one of the most commonly used programming languages in blockchain development. As a blockchain developer, you will use C++ to build decentralized applications, smart contracts, and other blockchain-based solutions.
- Smart Contract Developer: Smart contracts are self-executing contracts with the terms of the agreement between buyer and seller being directly written into code. C++ can be used to write smart contracts for decentralized applications on blockchain platforms such as Ethereum.
- Cryptocurrency Developer: C++ is also used to build and maintain cryptocurrency projects. If you're interested in developing cryptocurrencies, wallets, or mining software, C++ can be a valuable language to know.
- Protocol Developer: Many blockchain protocols are written in C++, including Bitcoin and Litecoin. As a protocol developer, you may work on developing new protocols, improving existing ones, and optimizing them for performance and scalability.
- Game Developer: If you're interested in creating video games, C++ is one of the most commonly used languages in the gaming industry, particularly for high-performance games.
- Financial Engineer: In finance, C++ is used for quantitative analysis, algorithmic trading, and risk management. Financial engineers use C++ to develop complex financial models and software tools.
- Embedded Systems Developer: C++ is commonly used in embedded systems programming for developing applications for devices like microcontrollers, and other small devices.
- Robotics Engineer: C++ is a popular programming language for developing robotics software. If you are interested in robotics and automation, this could be a great career choice.
- Compiler Engineer: C++ compilers are used to translate code written in C++ into machine-readable format. As a compiler engineer, you would be responsible for developing, testing, and optimizing C++ compilers.
- Machine Learning Engineer: C++ is a popular language for developing high-performance machine learning algorithms and libraries. As a machine learning engineer, you would use C++ to develop custom algorithms, optimize existing ones, and implement them into production systems.