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Solving the Jane Street reverse engineering challenge (jestoph.com)

437 points by anitil · 38 days ago · 99 comments on HN

Article summary

The article describes the author's experience solving the Jane Street reverse engineering challenge, which involved reverse-engineering an Application-Specific Integrated-Circuit (ASIC) from a given GDS file. The author used a combination of technical skills and perseverance to overcome the challenges, including building their own circuit simulator and parser. The process took several weeks and involved many detours and setbacks. The author ultimately succeeded in solving the challenge and reflected on the experience, noting that they often take the hard way and that the journey was educational.

Main themes

  • reverse engineering
  • ASIC design
  • technical challenge
  • autism and intelligence
  • company culture
  • formal verification
  • high-frequency trading
  • large language models

What commenters say

  • Some commenters believe that using the right tools, such as librelane and magic, would have made the challenge much easier.
  • The challenge may be a way for Jane Street to identify talented engineers, particularly those with strong technical skills and perseverance.
  • There is a perceived affinity between autism and technical intelligence, but this idea is disputed by some as being overly simplistic or stereotypical.
  • Good mentorship can make a significant difference in helping individuals succeed in technically challenging fields.
  • Some companies may claim to want highly intelligent and autonomous engineers, but in reality, they may prefer more manageable employees.
  • The challenge could have potential applications in areas such as high-frequency trading, where being able to reverse-engineer and optimize circuits could provide a competitive advantage.
  • The use of formal verification and other advanced techniques could have simplified the challenge, but may not have been as educational or rewarding.
  • Large language models may be able to solve similar challenges more quickly and efficiently in the future.