About the Position
We are looking for a Software Engineer with experience in high-performance, low latency systems. You'll work closely with our quantitative researchers and developers, taking a holistic approach to design and optimize our fast-trading systems.
We build systems primarily in OCaml with only small amounts of C and C++, but you don't need any experience with OCaml in particular (we can teach it to you) or knowledge of the financial markets. The most important qualification is experience with low level systems programming and optimization, whether it is in C, C++, or any other language.
Candidate Profile & Mindset
- Experience with low level systems programming and optimization, and working on network applications that require extremely low latency and high throughput
- Can understand, interpret, and improve application performance through hardware performance counters and other profiling tools
- Has a thorough understanding of modern computer architecture and can talk to others about it; for example, can you describe modern x86 AMD and Intel cache hierarchies?
- Some experience with fast-packet processing in user space and common kernel-bypass implementations would be ideal (such as Solarflare OpenOnload/TCPDirect/ef_vi, Exablaze, InfiniBand verbs, DPDK)
- Experience working around the performance challenges of languages with a managed runtime (such as Java or C#) and familiarity with a typed functional language are a plus If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.
About Jane Street
Jane Street, founded in 2000 in New York, is a quantitative trading firm and major liquidity provider in equities, ETFs, options and crypto. It trades $20B+ daily with 2,600+ employees across New York, London and Hong Kong, known for deep OCaml and functional programming culture and rigorous research. In Web3, Jane Street trades spot and derivatives on centralized and decentralized venues and invests via its crypto arm. The process stresses mathematics, reasoning under uncertainty and collaborative problem solving over crypto-native background. Jane Street combines quantitative research, cutting-edge market microstructure analysis, and high-concurrency systems engineering to provide continuous liquidity across global digital asset markets.