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 an experienced Protocol Researcher to design and evaluate rules and mechanisms in Monad that keep the system running smoothly. You ll be designing rules that optimize for true decentralization, economic security, network value accrual, spam prevention, compatibility with existing infrastructure, and ease of use.

You will work closely with our engineering team to design and test various mechanisms. You ll draw on your extensive knowledge and opinions on mechanisms in existing blockchains to evaluate options for Monad s design that optimize its security, decentralization, and performance. You ll work on a variety of areas, such as transaction ordering, staking, and consensus. Most importantly, your work will help our team avoid security threats and the threat of centralization.

Your work will be vital to Monad s success and will allow Monad to scale safely to hundreds of millions of users.

Requirements

Prior experience/skills:

Excellent knowledge of mechanisms and policies in existing blockchains, with strong opinions on which mechanisms are good or bad. Example areas we d expect you to have good knowledge of:
- Transaction ordering/MEV (both mechanically how MEV works in Ethereum, including architectural changes post-Merge, and its consequences, e.g. to decentralization)
- Staking and economic security (delegation economics; slashing conditions; stake pools)
- Consensus mechanisms (pBFT, tendermint, hotstuff)
- Spam prevention
- Trustlessness and decentralization (light clients; merkle proofs; security guarantees of various L1s and rollups)
Excellent knowledge of major DeFi primitives (AMMs, bridges, oracles, etc)
Excellent technical communication skills
CS background

Required personal attributes:

Extreme technical curiosity
Attention to detail
Creativity
Resourcefulness and independence
Clarity of thought
Enthusiasm about learning and teaching
Enthusiasm for Monad s mission of enabling far more decentralized computation

Bonuses:

Previous experience at a L1 or L2 blockchain protocol
Experience with applied cryptography
Experience with distributed systems
Experience with game theory
Proficiency in C++

What you ll be doing

You ll design and evaluate mechanisms that optimize for economic security, decentralization, performance, compatibility with existing infrastructure, and ease of use. A few example areas include transaction ordering (PGA vs flashbots/PBS); staking; liquid staking; spam prevention; on-chain randomness; light clients.
You ll evaluate potential attack vectors and evaluate ways to mitigate the threat of attacks.
You ll advise the team on technical merits of other systems that are potential partners, such as bridges and DeFi protocols.
You ll stay up to date on mechanism design in other blockchains and develop opinions on various practices
You ll collaborate with our engineering team to design and test new mechanism options.
You ll write about your findings for both internal and public audiences.

Why work with us

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 salary and equity package
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.

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

We think you ll enjoy working with us, and that you ll find the work to be extremely impactful and challenging.

Salary And Benefits

Minimum full-time salary of $125,000 - $200,000. (**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.

The majority of our team is in NYC and works together a few days a week. We are open to remote candidates, with a preference for candidates based in NYC.When applying, mention the word CANDYSHOP when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they are human RMTQyLjE0Ny4xMDguMTQwM

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