Quantitative Engineer

Jito Labs is driving innovation in high-performance distributed systems on the Solana blockchain. The team is dedicated to advancing transparent, efficient, and fair markets for global access to internet-scale finance. Facing rigorous technical challenges in distributed systems and quantitative finance, the team needs individuals who are eager to contribute to pioneering the future of blockchain technology.

Joining Jito Labs means collaborating with a tight-knit group of engineers and operators committed to addressing complex technical obstacles in Solana trading and infrastructure. The team emphasizes:

• Ownership: Each team member plays a substantial role in key technical decisions and influences the product roadmap.

• Execution: Prioritizing rapid deployment and real-world feedback for iterative progress.

• Excellence: Tackling intricate problems with scalable and elegant solutions.

• Growth: Building on strong financials and market fit to focus on sustainable long-term impact.

If you are enthusiastic about:

• Solving intricate challenges in distributed systems.

• Engaging with cutting-edge trading infrastructure.

• Contributing to open-source blockchain technology.

• Making a significant impact on the fast-growing L1 blockchain.

Jito Labs invites you to be part of their mission.

They provide competitive compensation, significant equity, and the opportunity to work on impactful challenges shaping the blockchain future.

Role Overview:

Jito Labs is seeking a quantitative engineer who shares the vision of decentralized and transparent markets facilitated by blockchain technology. This position offers the opportunity to revolutionize technology, driving the flow of value in the rapidly expanding blockchain environment. Your work will directly influence the scalability, performance, and accessibility of decentralized systems, aiming to promote real-world adoption and innovation. You will work on projects at the crossroads of quantitative finance and blockchain technology, developing intricate algorithms to enhance efficiency and reduce friction in the Solana ecosystem for users worldwide.

On a daily basis, your work will involve around 25% algorithm design and 75% implementation and testing.

Key Responsibilities:

• Construct high-performance algorithms for complex optimization challenges in distributed systems.

• Develop quantitative models for real-time analysis, inefficiency reduction, and risk assessment in dynamic, high-volatility settings.

• Integrate with low-latency data streams and monitor blockchain states for agile decision-making.

• Create and test algorithms in high-volume environments to ensure scalability and resilience under network pressure.

• Contribute to parameter-driven systems for dynamic operations and automatic adjustments guided by user inputs.

• Evaluate system performance through metrics analysis, benchmarking, and continuous data-driven enhancements.

• Collaborate on incorporating solutions into APIs and backend services.

• Establish robust frameworks for testing and validating algorithmic strategies.

• Engage with top-tier engineers on cutting-edge blockchain infrastructure projects.

• Contribute to open-source initiatives that propel the Solana ecosystem.

Essential Criteria:

• Bachelor's or Master's degree in Computer Science, Mathematics, Quantitative Finance, or related fields.

• Proficiency in programming languages such as Rust, C++, or Python with a focus on high-performance algorithm implementation.

• 3+ years of experience in quantitative engineering, algorithmic optimization, or associated disciplines like high-frequency systems or network modeling.

• Profound knowledge of optimization, graph algorithms, and real-time systems.

• Proven track record in developing and operating systems at scale.

• Enthusiasm for the transformative potential of blockchain technology in finance.

• Ability to excel in a fast-paced, ownership-driven environment.

• Market microstructure background needed.

Desired Skills:

• Experience with Solana or other high-performance blockchains.

• Understanding of distributed systems and consensus mechanisms.

• Contribution to open-source projects.

• Published research in relevant fields.