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.
The target annual salary range for this US-based role is $180,000 – $250,000. This range represents our good-faith estimate at the time of posting and is not a guarantee of compensation. The final offer may vary based on factors including experience, domain expertise, and the candidate’s specific 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
Benefits for employees hired through an EOR (outside of the US) will be based on EOR offerings and country-specific requirements.
Top Skills
Category Labs New York, New York, USA Office
New York, New York, United States, 10018
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory


