Level

Jane Street

Low-Latency Engineer

AI in this role

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.  

About You

  • 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.

How we rate this

Low-Latency Engineer at Jane Street rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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