Quantitative & Systems Intern About Astralane Astralane is building the next generation of low-latency tooling for Solana and other high-throughput chains. You’ll join a small, tight-knit team that’s obsessed with squeezing out every last microsecond in trade execution, on-chain data analysis, and protocol-level optimization. What You’ll Do Implement Rust-based tools to ingest, clean, and analyze high-volume blockchain and market data. Build and optimize data pipelines for trade analysis, backtesting, and statistical research. Work with Solana RPCs, transaction logs, and public APIs to extract insights from on-chain MEV activity. Detect, classify, and explain MEV patterns (e.g., backruns, arbitrage) by decoding raw transactions. Collaborate with engineers on low-latency networking, custom RPC/GRPC clients, and real-time monitoring dashboards. Research quantitative strategies, write prototypes, and contribute to production-grade code. Present findings in clear write-ups and team demos—your insights will directly inform our product roadmap. What We’re Looking For Proficiency in Rust (or C++/Go with eagerness to pick up Rust). Strong foundations in computer science (data structures, algorithms, concurrency). Solid math/stats background (linear algebra, probability, basic ML). Hands-on experience with data analysis—Python, SQL, or other tools. Bonus: familiarity with blockchain concepts (accounts, transactions, MEV), Solana RPCs, trading APIs, or on-chain data indexing. Excellent communicator who thrives in a highly collaborative, fast-paced environment. Why You’ll Love It Direct mentorship from Solana-protocol-level engineers. Real impact: your analysis and code ship to production. Deep dive into next-gen blockchain infrastructure and quant research. Flexible hours, team socials, and free snacks (yes, butter chicken and samosas count!). How to Apply To apply, complete this short technical assignment: 👉 https://docs.google.com/forms/d/e/1FAIpQLSe-5qCKOlExubrk5WxPqNBapxmtr8pD_JhyobFfbw4sUFfMdw/viewform Once submitted, feel free to also send your resume and a note about a project you’re proud of to hi@astralane.io and CC: jas@audacelabs.com .
Python Developer with strong willingness to learn On-Chain Development (experience preferred) Important: Complete below attached assignment as a part of an application. Are you fluent in Python and curious about the on-chain world? Join us as we build next-gen applications at the intersection of software and blockchain. What You'll Do: Build and maintain Python-based applications and APIs Work with on-chain data (Solana) for indexing, analysis, or integration Collaborate with product and infra teams to ship clean, efficient code You Should Have: Strong Python fundamentals Experience working with blockchain data or protocols (basic smart contract understanding is a bonus) Familiarity with web3 libraries and APIs Comfort with Git, Docker, and RESTful APIs Nice to Have: Experience with GraphQL, async programming, or data pipelines Prior contributions to open-source blockchain tools Understanding of DeFi or crypto infrastructure Location: Remote / Hybrid How to Apply To apply, complete this short technical assignment: Complete the assignment first and then submit the google form Assignment: https://docs.google.com/document/d/1_ax8g-Ym9Q8MqWb33EbBJIlva48ZNKUVw5_E7hSZaf0/edit?tab=t.0 👉 Submit assignment here: https://docs.google.com/forms/d/e/1FAIpQLSe-5qCKOlExubrk5WxPqNBapxmtr8pD_JhyobFfbw4sUFfMdw/viewform Once submitted, feel free to also send your resume and a note about a project you’re proud of to info@sarabloh.ca and CC: jas@audacelabs.com . Let’s build the future, block by block.
You will be working on a low-latency trading middleware for Solana, focusing on a high-performance transaction broadcasting engine used by top trading firms and validators. The current system handles 2M+ transactions per day, but only 0.01% of these transactions are successful, presenting a challenge that you will be tasked with solving. Your main mission will be to understand and optimize the transaction pipeline. You will investigate why transactions fail or are slow to process, identify patterns that contribute to success or failure based on geographies or clients, and explore ways to enhance the speed of our infrastructure down to the microsecond level. You will be working with various technologies including ClickHouse for raw request logs, Postgres for transaction outcomes and metadata, Grafana and server logs for validator and router performance, and our geo-distributed validator and router stack. Your responsibilities will include analyzing and enhancing user flow landing rates, optimizing performance across endpoints, network paths, and validators, reducing infrastructure costs by improving orchestration and utilization, reverse-engineering competitors and creating benchmarks, and suggesting innovative strategies to monetize traffic, bundles, and client insights.,