Category Labs (formerly known as Monad Labs) is a team of systems engineers and researchers on a mission to design and build at the frontier of decentralized technology. We strive to design and build step-function improvements over existing blockchain solutions. After recently raising $225M in series A funding, led by Paradigm, we are growing our team.
The RoleWe are looking for systems researchers with a strong interest in databases and operating systems. Candidates with research experience in systems verification, operating systems, multi-core algorithms, or systems architecture, are an ideal match. You will be part of a small, deeply technical team, working on high-impact problems in a fast-paced environment. Although we are building a new blockchain, previous experience with crypto is not expected.
What You Will DoDesigning performant algorithms and architectures related to storage or recovery, in single-node or distributed environments.
Researching new architectures
Tech stack: C++, clang, LLVM, gdb, perf, unix, git
PhD in Computer Science or equivalent
Significant research experience into databases or operating systems
Experience writing performant algorithms
Experience writing production-grade code
Resourceful and self-motivated
Collaborative
Adaptive; able to make meaningful contributions in a fast-paced environment
Curious about lower-level system details
Interested in building high-value, performant and distributed systems
Challenging problems. You’ll work on extremely challenging problems with massive impact. See our Blogs and Papers & Talks for a flavor of the problems we are solving in the real world.
Huge opportunity. The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are very slow. Monad’s core innovations offer developers the best of both worlds (portability and performance) and are a game-changer for mass user adoption in crypto.
The right team. You’ll be part of a small, exceptional team (engineers and researchers make up 90% of the team).
Culture. We’re a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low ego, and high-quality output. As an early member of our team, you’ll help to shape our culture.
Compensation. You’ll receive a competitive salary and equity package.
Resources and growth. We’re well-capitalized, with backing from leading venture funds like Paradigm, Electric Capital, Greenoaks, Dragonfly, and Coinbase Ventures. We keep a lean team, and this is a rare opportunity to join. You’ll learn a lot and grow as our company scales.
Target full-time salary of $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, domain expertise, and geographic location.)
Benefits for US employees include:
World class benefits package (medical/dental/vision)
Unlimited paid time off
401(k) retirement plan + company match
Lunch and dinner stipend (in-office NYC)
Monthly wellness benefit
Paid parental leave
Top Skills
What We Do
Category Labs (formerly known as Monad Labs) is a team of systems engineers and researchers on a mission to design and build at the frontier of decentralized technology. We strive to design and build step-function improvements over existing blockchain solutions. Such greenfield systems include from-scratch databases, Byzantine Fault Tolerant consensus mechanisms, JIT compilers for EVM bytecode, and much more.
We recently raised $225M in series A funding, and are backed by Paradigm, Electric Capital, Dragonfly Capital, and others.
Category Labs is building the next generation of blockchain infrastructure with Monad, an EVM-compatible layer 1 that dramatically improves performance. Deep optimization is needed across all levels of the stack - from the database layer, to the virtual machine layer, to the consensus and networking layer - in order to streamline EVM transaction processing. We are introducing these low-level optimizations, allowing consumer-grade hardware to deliver exceptional performance while maintaining a high degree of decentralization.







