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Quantitative & Systems Intern

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Posted:3 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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

hi@astralane.io


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