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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Jito Labs | United States | $84k - $150k | |||
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Quantitative Engineer
USA
Engineering /
Remote
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Jito Labs is architecting the future of high-performance distributed systems on Solana. We believe Solana represents the future of internet-scale finance - a world where anyone, anywhere can access transparent, efficient, and fair markets. To realize this vision, we need to solve some of the hardest technical challenges in distributed systems and quantitative finance.
At Jito Labs, you'll work alongside a small, nimble group of engineers and operators who are passionate about solving complex technical challenges at the cutting edge of Solana trading and infrastructure. Our team culture emphasizes:
High ownership: Every team member drives significant technical decisions and shapes our product roadmap.
Fast execution: We ship rapidly and iterate based on real-world feedback. Progress, not motion.
Technical excellence: We tackle complex problems with elegant, scalable solutions.
Sustainable growth: Strong financials and proven market fit enable us to focus on long-term impact.
If you're excited about:
- Solving complex distributed systems challenges
- Working with cutting-edge trading infrastructure
- Contributing to open-source blockchain technology
- Making a tangible impact on one of the fastest-growing L1 blockchain
...then we want to hear from you.
We offer competitive compensation, significant equity, and the opportunity to work on problems that matter. Don't just watch the future of blockchain unfold - help us build it.
Role Overview
We're looking for a quantitative engineer who shares our vision that blockchain can create open, transparent markets that serve people around the world. This role offers the chance to develop foundational technology that doesn't exist today, shaping how value flows through one of the world's fastest-growing blockchain ecosystems.
Your contributions will directly impact scalability, performance, and accessibility in decentralized systems, driving real-world adoption and innovation. You'll work on high-impact projects at the intersection of quantitative finance and blockchain technology, designing sophisticated algorithms to enhance efficiency and reduce friction in the Solana ecosystem for millions of users, from retail participants to institutions.
On a daily basis, you'll be spending roughly 25% designing algorithms and 75% implementing and testing them.
What You'll Do
- Design and implement high-performance algorithms for complex optimization problems in distributed systems
- Build quantitative models for real-time analysis, inefficiency minimization, and risk evaluation in dynamic, high-volatility environments.
- Integrate with low-latency data streams and blockchain state monitoring to enable rapid, adaptive decision-making.
- Develop and test algorithms in high-volume settings, ensuring scalability to process billions in value with resilience under network stress.
- Contribute to parameter-driven systems where user inputs guide dynamic operations and automated adjustments.
- Evaluate system performance through metrics analysis, benchmarking, and data-driven iterations to continuously improve outcomes.
- Collaborate on integrating solutions into APIs and backend services
- Create robust frameworks for testing and validating algorithmic strategies.
- Work with a world-class team of engineers on cutting-edge blockchain infrastructure.
- Contribute to open-source projects that advance the entire Solana ecosystem.
Strong Requirements
- Bachelor's or Master's degree in Computer Science, Mathematics, Quantitative Finance, or a related field.
- Proficiency in programming languages like Rust, C++, or Python with a focus on performant algorithm implementation.
- 3+ years of experience in quantitative engineering, algorithmic optimization, or related fields, such as high-frequency systems or network modeling.
- Deep expertise in optimization, graph algorithms, and real-time systems.
- Track record of building systems that operate at significant scale.
- Passion for blockchain technology and its potential to transform finance.
- Ability to thrive in a fast-paced, high-ownership environment.
- Background in market microstructure.
Weak Requirements
- Experience with Solana or other high-performance blockchains
- Knowledge of distributed systems and consensus mechanisms
- Contributions to open-source projects
- Published research in relevant fields
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What is a quantitative career?
A quantitative career is a profession that involves using mathematical, statistical, and computational techniques to solve problems and make decisions in a wide range of industries, including finance, engineering, healthcare, and technology
A quantitative career in Web3 involves using mathematical, statistical, and computational techniques to analyze and optimize decentralized finance (DeFi) protocols, blockchain networks, and other Web3 applications
Some examples of quantitative careers include:
- Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
- Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
- Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
- Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
- Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.